Dataingenjör

Om tjänsten Det här är ett konsultuppdrag med mycket goda möjligheter till överrekrytering. I den här rollen får du initialt en anställning hos Bravura, och det är uttalat att vår kund har för avsikt och mål att erbjuda dig anställning hos dem på sikt. Detta ger både dig och kunden en bra möjlighet att lära känna varandra samt utvärdera hur ni trivs med ert samarbete. Om företaget Vår kund är ett väletablerat konsultbolag inom IT och digital transformation med ett brett tjänsteerbjudande inom utveckling, data & AI, cybersäkerhet, infrastruktur och management consulting. Du blir en del av Data & AI-teamet som idag består av 16 specialister med kompetens inom bland annat Power BI, Microsoft Fabric, Azure Data Factory, Azure Integration Services, AI-lösningar och dataplattformar. Teamet är mitt i en expansionsfas med stort fokus på kvalitet, kunskapsdelning och hållbar utveckling. Vi kan per idag inte gå ut med företagsnamnet för den här tjänsten. Du kommer självklart få veta vilket företag vi hjälper under processens gång, som senast när vi ses på en intervju hos oss. Arbetsuppgifter Som Data Engineer/Microsoft Fabric- konsult arbetar du i kundprojekt där du hjälper organisationer att skapa moderna dataplattformar och datadrivna arbetssätt i Microsoft-miljöer. Rollen omfattar hela kedjan från datainhämtning och integration till modellering, visualisering och vidareutveckling av befintliga lösningar. Du kommer arbeta med både tekniskt djupa implementationer och mer verksamhetsnära dialogeroch ha en löpande kontakt med kunder genom workshops, prioriteringsmöten, kravdialoger och leveransuppföljning. Teamet arbetar nära kunderna och ansvarar för att skapa långsiktiga lösningar som bidrar till affärsnytta. För den som vill utvecklas vidare inom Microsoft Fabric finns goda möjligheter att ta större ansvar i takt med att både teamet och kunduppdragen växer. Exempel på arbetsuppgifter: Utveckla och vidareutveckla lösningar i Microsoft Fabric och Power BI Arbeta med datamodellering, dataintegration och dataplattformar Delta i kundmöten, workshops och kravdialoger Bygga och förvalta dataflöden från källa till färdig analys Bidra till tekniska lösningsförslag och leveranser i kundprojekt Utbildning, erfarenhet och personliga egenskaper Minst tre års erfarenhet inom BI, Data Engineering eller närliggande område Erfarenhet av Power BI och datamodellering Erfarenhet av Microsofts dataekosystem, exempelvis Azure Data Factory Mycket goda kunskaper i svenska och engelska, i både tal och skrift Det är meriterande om du också har Erfarenhet av Microsoft Fabric Certifieringar inom Microsoft Data & AI Erfarenhet av Databricks eller Snowflake För att trivas i rollen ser vi att du är en person som tar stort ansvar för ditt arbete och trivs i samarbete med andra. Du har förmågan att omsätta tekniska möjligheter till lösningar som skapar värde för kunden och känner dig bekväm i dialoger med olika typer av intressenter. Samtidigt är du nyfiken och vill fortsätta utveckla din kompetens inom moderna dataplattformar. Vi tror också att du uppskattar att arbeta i ett team där kunskapsutbyte, kvalitet och långsiktighet står i fokus. Övrig information Start: Enligt överenskommelse Plats: Stockholm eller Malmö Lön: Enligt överenskommelse Vi använder en kompetensbaserad metodik i alla rekryteringsprocesser för att säkerställa fördomsfria urval. Vi jobbar också med löpande urval, vilket innebär att vi tar ner annonsen när tillräckligt många kandidater har ansökt. Om du blir aktuell för tjänsten kommer vi att kontakta dig för en första telefonintervju. Oavsett om du går vidare i processen eller inte så kommer du att få återkoppling på din ansökan. Har du frågor? Hör gärna av dig! 📧 [email protected] 📞 010-171 47 10 Vi rekommenderar att du skickar in din ansökan omgående då vi gör ett löpande urval. Välkommen med din ansökan! #Brillante

Want to work on data infrastructure that people use every day? Our Data Management team in Lund builds the platform that helps Axis collect, manage, and use data across the company. Your future team You will join the Data Management team - a strategic, collaborative group of software and data engineers. Together we build and run services that collect, process, and store data securely in cloud and on-premises environments. We also build the tools that let users and colleagues find, explore, analyze, and visualize that data. The team works in a self-organizing way, with a high level of trust and ownership. You will help decide how we improve and shape the future of our data platform. The team is part of Axis OS Lifecycle & Services. What you'll do as a Data Platform Engineer You will work across the entire platform: infrastructure, data pipelines, databases, and visualization tools. We use AI tools to increase development speed, and we hold our code to high standards - clear, tested, and maintainable. The platform shapes decisions across Axis every day, so it needs to be dependable, practical to use, and able to grow with the company. In this role, you will: Build and operate data pipelines that collect, process, and store data securely in cloud and on-premises environments Take ownership of the infrastructure, databases, and visualization tools our users depend on, in environments such as ClickHouse, Superset, and Kubernetes Apply your strong software engineering skills to develop clean, maintainable code in e.g. Python on Linux Work in a CI/CD environment with Git, automated tests, and linters - taking responsibility for deployment to staging and production Strengthen and evolve the on-premises architecture as data volumes grow and reliability requirements increase Who we are looking for You are curious, eager to learn, and want to grow in an environment that increasingly leverages AI to accelerate development. You are self-driven yet collaborative - you build strong networks, share what you know, and contribute to a creative and supportive working environment. Operational responsibility appeals to you. You want to understand the system as a whole, not only the part you are currently changing. We think you have: A degree in Computer, Electrical, or Physics Engineering, or equivalent experience Experience in software and data engineering, with strong Python, Linux, and Git skills An interest in Kubernetes and databases such as PostgreSQL and ClickHouse Professional proficiency in English, our corporate language It is a plus if you have: Experience with tools for data extraction, ingestion, processing, or orchestration, such as Dagster, and with BI, visualization, or data exploration tools such as Apache Superset or DataHub Experience working with data scientists and analysts, contributing to open-source communities, and knowledge of effective team practices such as DevOps Swedish communication and presentation skills, plus a structured approach to requirements and documentation What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation, and work-life balance. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance - and even your own Axis bicycle. To learn more about Axis, our innovative products, solutions, and vibrant company culture, explore: Life at Axis blog Engineering at Axis blog Innovation at Axis Ready to act? Enough said - now it's time for you to act! Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. We go through applications continuously so don't wait - send in your application today! If you have questions about the role, you are welcome to contact Sven Carlstedt, Interim Engineering Manager, at or +46 705 779459.

Company description: Epiroc is a leading productivity partner for the mining, infrastructure and natural resources industries. Withcutting-edge technology, Epiroc develops and produces innovative drill rigs, rock excavation and constructionequipment, and provides world-class service and consumables. The company was founded in Stockholm,Sweden, and has passionate people supporting and collaborating with customers in more than 150 countries.Learn more at www.epirocgroup.com. Job description:Data Engineer Let’s accelerate the transformation. Together. We are looking for a Data Engineer who wants to help shape the next chapter of our digital and AI journey within the Tools division. This is a role for someone who enjoys building from scratch, working close to real business challenges, and enabling AI solutions at scale in a global industrial environment.   Join our team At Epiroc Tools division, we are building a new Data & AI capability to accelerate the adoption of AI across our global operations, products, and services. As part of the Digital Innovation team, you will be at the center of this transformation, where we develop scalable AI products supporting the entire division. We are now expanding our team with dedicated Data Engineering capabilities to strengthen the foundation for our AI and analytics solutions. You will work closely with data scientists, product leads, and business stakeholders to build robust, scalable data pipelines that power AI-driven products end-to-end.   Your missionAs a Data Engineer, your mission is to build and scale the data foundation that enables modern AI products. You will play a key role in designing and implementing data pipelines, ensuring data quality, and enabling advanced analytics and machine learning across the organization. You will:•    Design, build, and optimize data pipelines for large-scale, cloud-based environments•    Ensure data availability, quality, and reliability for AI and analytics use cases•    Work closely with data scientists to enable feature pipelines and machine learning workflows•    Develop and maintain scalable architectures supporting end-to-end AI products•    Contribute to building a modern data platform (Databricks, cloud, orchestration, monitoring) •    Support the full data lifecycle, from ingestion and transformation to serving data for AI and business insights•    Collaborate with stakeholders across business, IT, and product teams to translate needs into scalable solutions You will be part of building something new, defining ways of working, setting standards, and shaping how we scale AI across the Tools division. You will help define not only what we built, but how we build it.   Your profileWe are looking for someone who combines strong technical skills with a pragmatic and collaborative mindset. You enjoy solving real problems, building robust systems, and working in a fast-evolving environment. We believe you bring:•    Experience as a Data Engineer or in a similar role (mid–senior level)•    Strong skills in Python and SQL for data processing and transformation •    Experience with cloud-based data platforms (e.g., Azure, Databricks) •    Experience building data pipelines and working with orchestration tools •    Understanding of modern data architectures and scalable data workflows•    Experience collaborating with data scientists and enabling ML pipelines As a person, you are:•    Curious and solution-oriented•    Collaborative and comfortable working cross-functionally•    Pragmatic, with a focus on delivering value•    Motivated by building something new and making real impact   Location and otherThis position can be located in Fagersta, Stockholm, or Örebro, Sweden. We offer a hybrid way of working that supports flexibility and work-life balance. Occasional travel may be required.   Why Epiroc?By joining our team, you’ll make a big difference in the energy transition. At Epiroc, we take pride in being passionate innovators, driving the change toward a brighter future for both people and the planet. Guided by our values of Collaboration, Commitment, and Innovation, we foster a culture of trust, growth, and lasting impact.  You will be part of a journey where you:•    Build foundational capabilities for AI in an industrial context•    Work at the intersection of business, technology, and innovation•    Contribute to global solutions used across operations and markets•    Help scale AI from experimentation to production   Application and contact informationWe encourage you to submit your application through our online career site as soon as possible, but no later than 2026-10-11. Applications will be reviewed on a rolling basis, and the position may be filled before last application date.We are committed to a thorough recruitment process, including interviews, reference checks and assessments. To ensure a safe working environment, we conduct identity checks and drug and alcohol screening. Our process is designed to be fair and inclusive; you can expect transparent communication and a balanced evaluation of your skills and experience.

Company description: . Job description:  Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. Senior Solution Engineer The Global Headquarters for Volvo Financial Services is seeking a 2 Senior Solution Engineers for the Retail & Wholesale Digital Delivery Area of Volvo Financial Services VFS Digital & IT.  Role Summary: As a Senior Solution Engineer, you will drive the design and delivery of scalable technical solutions across global contract management systems. You act as a key bridge between business and IT, translating complex requirements into clear solution designs and ensuring successful implementation across markets.This role combines strong technical expertise with excellent communication and coordination skills, enabling you to align stakeholders and drive end-to-end delivery. As a Senior Solution Engineer you are a member of a stable teamand will work closely with Digital Product Owner, Solution Engineers, Developers, Data Analysts and Business Stakeholders,    You will report directly to the Chapter Lead solution Engineer – Retail & Wholesale.  Digital & IT is the engine of the VFS business, and we continue our strategic journey to further improve performance and to deliver the best customer experience in the industry. In this exciting environment, we are focused on Digital Innovation to meet the demands of our customers in an increasingly digitalized world. Key Responsibilities •    Own the end to end technical and functional solutions for retail contract management and business operations, from requirements and architecture through delivery, operations, and continuous evolution. •    Translate business and finance requirements into technical specifications, solution designs, and user stories.•    Lead solution design, ensuring scalable configurations, integrations, and compliance with enterprise standards.•    Maintain hands-on expertise in systems configuration, data models, workflows, and integrations.•    Coordinate across business, IT, vendors, and delivery teams, ensuring alignment and smooth execution.•    Facilitate workshops, technical discussions, and decision forums across technical and non-technical stakeholders.•    Oversee testing, release management, and deployment readiness.•    Drive optimization, and continuous technical improvement.•    Ensure high-quality technical documentation and communication across teams.•    Oversee managed services and support teams to ensure operational excellence and consistent service across global markets.•    Monitor run time stability and performance, perform root cause analysis for incidents and defects, coordinating resolution across teams.  Key Qualifications •    Strong experience in solution engineering / technical business analysis within complex IT environments.•    7+ years’ proven experience operating in a senior Solution Engineer or Business Analyst role within complex IT initiatives in the financial services companies, with the ability to act as a trusted counterpart to both business and IT stakeholders.•    Solid understanding of system integrations, data flows, and finacial platforms.•    Proven ability to communicate and translate business needs into technical solutions.•    Strong stakeholder management and cross-functional coordination skills.•    Experience leading workshops, technical meetings, solution design, and agile delivery processes.•    Hands-on involvement in testing, validation, and release coordination.•    Strong problem-solving and analysing skills, identifying, structuring, planning, monitoring, and delivering results.•    Deep understanding of financial processes and business flows, including contracts, taxation, and financial products, with the ability to guide discussions and challenge assumptions at a senior level.•    Experience advising Retail & Wholesale clients, with exposure to Global Contract Management Systems like Aryza, FIS, Alfa, Solifi, Sofico and Oracle, is considered a significant advantage. What’s in it for you? We offer a solid and competitive package of compensation and benefits, plus you will enjoy a diverse working environment with a culture of care and inclusion. As an investment, we support your personal development and growth to achieve your career aspirations. Volvo Financial Services is an on-site business, and we understand that you might need occasional or temporary flexibility, which your leader is equipped to manage and fits well to our culture, as well as develop you for continued success. Ready for the next move? If you are ready to take on a challenge in a dynamic environment and have a curious mind eager to contribute to creating tomorrow's transport and digital service solutions, we welcome your application!   Last application date: 30 Jun 2026 Application screening will start immediately; we look forward to receiving your application as soon as possible.  Location: This position is based onsite at the VFS office in Gothenburg, Sweden. Remote or hybrid arrangements are not applicable for this role.Timing:    ASAP We value your data privacy and therefore do not accept applications via mail.

AI - Data Engineer, Stockholm - Hybrid The company is a Nordic-Baltic venture studio founded in Stockholm in 2016. They work hands-on with both startups and larger enterprises to build digital products — investing in and building companies, rather than just consulting. Employees get the opportunity to invest in the portfolio companies and share in the upside if there's an exit. The culture is described as entrepreneurial and ownership-driven, with a focus on work-life balance — working close to founders and core teams where decisions are actually made, rather than off a backlog. We are looking for a Senior Data / AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. You will operate at the intersection of data engineering, analytics engineering, and applied AI - leveraging robust data pipelines and transformation workflows to enable advanced analytics, machine learning, and emerging AI agent use cases. This role is especially well-suited for someone with a strong consulting background who is comfortable working in client-facing environments, translating ambiguous business requirements into structured, production-ready data and AI solutions. Do you want the unique possibility to invest in the next generation of tech startups while building large-scale solutions for mid-to-large enterprises? Then we might be the right fit for you! Location: Stockholm (Onsite/Hybrid) Your Impact: Builder & Investor You are more than an engineer; you are a builder and an investor. Ownership & Equity: We combine the impact of high-level consulting with the strategic upside of venture capital. Through our unique model, you gain ownership in the companies we support, becoming a shareholder in our diverse portfolio of over 35 ventures. The Investment Council: You’ll have the opportunity to join our Investment Council and help decide which startups we back next. AI Strategy & Workshops: Beyond pure engineering, you will help our internal AI Forum on the business side - conducting workshops and identifying AI possibilities for our mid-to-large size clients. The Role: Tech & Innovation You will join a collaborative group of experts dedicated to high-quality code and modern solutions. In this role, you will bridge the gap between Software Engineering and Advanced Data Science. Technical Requirements Must-haves: Consulting Experience: 6-7+ years of experience in data engineering or analytics engineering, with a strong track record in consulting, professional services, or client-facing project work. Proven ability to manage stakeholder expectations and deliver solutions in dynamic environments. Expert-level dbt: Deep experience in modular data modeling, including macros, custom materializations, and version-controlled SQL. Production-grade Python: Ability to write clean, reusable code (not just scripts) using testing frameworks like pytest and dependency management. Modern Cloud Warehousing: Senior-level expertise in BigQuery or Snowflake, with a strong focus on architecture and performance optimization. Data Engineering Best Practices: Experience implementing CI/CD for data, data quality monitoring, and automated testing. Preferred skills: AI & LLM Foundations: Experience with Vector Databases (e.g., Pinecone, pgvector) and building data pipelines for RAG (Retrieval-Augmented Generation). Advanced Orchestration: Hands-on experience with Airflow, Dagster, or Prefect for complex workflow management. Distributed Processing: Experience with Apache Spark (PySpark/Scala) for handling large-scale, decentralized data. FinOps Mindset: A track record of monitoring and optimizing cloud compute costs and warehouse spend. MLOps: Familiarity with Vertex AI or similar platforms for managing the machine learning lifecycle. Semantic Layer: Experience defining metrics and business logic via the dbt Semantic Layer or MetricFlow. Culture & People Our culture is built on our values: Adventurous, Caring, and Inspiring. Community: We are a dog-friendly office (Barkend developers welcome!) that loves spending time together through Hackathons, After Works, and communal lunches. Balance: We respect that everyone is in different stages of life. Your well-being and work-life balance are top priorities. Growth Mindset: You own your trajectory: we simply provide the space and resources for you to master new tech, sharpen your business acumen, and evolve far beyond just your technical field. Ready to build the future of AI and data with us? Interviews are conducted on an ongoing basis, so please submit your application as soon as possible. You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency. Welcome to submit your application! Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

Why Doktor.se Doktor.se is Sweden's largest digital healthcare provider. We combine physical clinics with a digital platform serving millions of consultations per year across Sweden, Germany, and Norway. Our 25-person engineering team has startup autonomy inside a profitable, international organization with 1,000+ employees and over 1B SEK in revenue. We run OpenAI and Anthropic models in production across patient and clinician workflows — and that footprint is growing fast. AI is a working tool here, not a buzzword. We use it daily, we expect you to as well, and we hire people who treat it as a force multiplier. What you'll do Our data platform works, but it was built to solve yesterday's problems. We have data scattered across Postgres databases, Amplitude, S3 file dumps, and a tangle of Python jobs that move it around. The reports get built and the business runs on them. But trust is brittle, reconciliation is too manual, and the foundations need work before we can scale to where we're going. We need someone who can help us rebuild this — not maintain what we have, but reshape it. If you want a place where the warehouse is clean and the pipelines just run, this isn't it. If you want to redesign a data platform from foundations up, with real ownership and the leverage to make it good, here's what you'd own: • Reshape the data foundations — multi-tenancy, retention, and data contracts with backend services. • Decide what the warehouse actually is: self-hosted Postgres + dbt, managed Snowflake or BigQuery, or something else. You'll shape this. • Unify three data sources that don't currently talk to each other: our operational databases, Amplitude product analytics, and a long tail of S3-based partner integrations. • Build observability into the platform — lineage, freshness, and alerting that actually means something. • Own reporting that finance, operations, and the board rely on. Make those reports trustworthy by design, not by manual reconciliation. • Work directly with backend, product, and finance teams. You're not a service desk — you're a peer who shapes how data gets produced upstream, not just consumed downstream. • Use AI aggressively for pipeline boilerplate, schema generation, transformation logic, and exploratory analysis — the same discipline we hold ourselves to. You'll be part of a small data engineering team. That's a lot of ownership and not a lot of cover. The right person sees that as opportunity. What we're looking for • You've designed and run data platforms in production — not just written DAGs. You've thought about what to build vs buy, where transformations belong, and how to keep schemas honest as products evolve. • You're fluent in Python and SQL, with strong opinions about how Postgres should be used as a warehouse (and when it shouldn't). • You've used dbt or equivalent in a real environment and understand data modelling — staging, marts, tests. • You have working knowledge of one or more managed warehouses (Snowflake, BigQuery, Redshift) and can evaluate them honestly against self-hosted options. • You're comfortable with orchestration tools — Airflow, Dagster, Prefect, whichever — and know what an orchestrator is for. • You think about data contracts as a product problem, not just a pipeline problem, and can make that case to backend engineers. • You use AI in your daily work and can talk about how. If your answer is "I haven't really tried it yet," this isn't the role. • Healthcare data experience is a plus. GDPR fluency is expected. Patientdatalagen familiarity is a bonus. • You have a relevant university degree or equivalent experience. Tech stack • Sources: Postgres (operational), Amplitude (events), S3 (integrations and dumps) • Languages: Python, SQL • Cloud: AWS, multi-account • Warehouse: Postgres today, open question for tomorrow • Transformation: likely dbt going forward • Orchestration: open question — you'll shape this • AI: Claude and OpenAI in our daily workflow What we offer • Real influence. The data platform is being rebuilt and you're at the centre of it. • Small team, direct impact. 25 engineers — your work is visible, not lost in a machine. • Autonomy. No micromanagement, no endless approval chains. • Collective agreement, 30 days vacation, wellness allowance, personal development budget. Practical details • Start: As soon as we find the right person. We'll accommodate your notice period. • Employment: Permanent, full-time. Six month probation period. • Location: On-site, Monday–Thursday at Sveavägen 63, Stockholm. Fridays are flexible. • Language: You'll be working with our entire org so Swedish is a strong plus, but English is our working language within tech. • Work permit: You must already have the right to work in Sweden. We handle recruitment internally — no agencies, no consultants, no external recruiters.

About the Role As a Senior Engineer at Link, you are expected to be a tech generalist with a startup mindset. You will be working in a diverse team of people with different backgrounds, ranging from our own Robotics and Machine Learning experts to engineers from partner companies. You will provide technical expertise and vision as well as practical implementation of solutions for a broad range of projects including areas such as defence, electronics, pharmaceuticals, and automotive. You will be an essential part of Link, actively contributing to our projects from understanding technical feasibility and the necessary methodology, to driving the implementation and ensuring a smooth handover to production. Requirements To thrive in this role, we believe that you have: • Experience with one or more cloud platforms and building infrastructure on the cloud, e.g. you know how to deploy your work to k8s, run batch jobs, set up infrastructure for ML models • Experience in frontend development • Passion to actively explore and learn about new tools, and a pragmatic approach and flexibility in terms of tool choice in a collaborative environment • A passion for working in a fast-paced, startup-like environment • An interest in working together with people with different backgrounds • An open mind to innovative solutions and a habit of thinking outside the box • An ability to grow and leverage a personal network for collaboration and knowledge-sharing with the tech community • Excellent problem-solving skills and ability to take ownership • Good communication skills and fluency in English What we offer • Exposure to challenges from various industrial sectors, requiring state-of-the-art AI and Robotics solutions • A great opportunity to expand your network in Sweden and internationally • A flexible, high-paced environment where you get to work on several projects at once About the Company Link is a collaborative platform where leading technology experts and industry professionals jointly work on defining business strategies and implementing disruptive solutions by bringing research breakthroughs and talent to industry. Our mission is to strengthen Swedish and Nordic prominence in the AI-driven business ecosystem.

About the Role As an AI Expert at Link, you are expected to be a Machine Learning generalist with a startup mindset. You will be working in a diverse team of people with different backgrounds, ranging from our own Robotics and Machine Learning experts to engineers from partner companies. You will provide technical expertise and vision as well as practical implementation of solutions for a broad range of projects including areas such as defence, electronics, pharmaceuticals, and automotive. You will be an essential part of Link, actively contributing to our projects from understanding technical feasibility and the necessary methodology, to driving the implementation and ensuring a smooth handover to production. To thrive in this role, we believe that: • You have a strong background in ML (PhD in Computer Science, Applied Mathematics, or a closely related quantitative field is preferred), enjoy continuously keeping track of the state of the art in AI, and at the same time prioritize pragmatic solutions for real business problems • You have proficiency in the Python programming language, experience working with ML packages; experience with lower-level programming languages, such as C++, is an advantage • You have hands-on experience in at least one of the following areas, and are willing to learn about the others: o Optimization Methods, preferably including Contextual Optimization o Optimal Decision Making o Computer Vision o Multimodal Perception o Reliable Generative AI applications and Agentic systems o Graph Learning o Training and fine-tuning Foundation Models for different modalities • You have a passion for working in a fast-paced, startup-like environment • You have excellent problem-solving skills and ability to take ownership • You have great communication skills and fluency in English About the Company Link is a collaborative platform where leading technology experts and industry professionals jointly work on defining business strategies and implementing disruptive solutions by bringing research breakthroughs and talent to industry. Our mission is to strengthen Swedish and Nordic prominence in the AI-driven business ecosystem.

Våra lösningar behövs överallt inom polisverksamheten – av polisen i yttre tjänst, vid operativa polisinsatser, till avancerade underrättelseanalyser. Omvandla data till handling med din expertis inom strömmande flöden och on-premise lösningar. Arbetsplatsbeskrivning Nu söker sektionen Dataanalys & GIS en dataingenjör, ofta benämnd som Data Engineer för att öka Polismyndighetens förmåga inom informationsförsörjning. Du kommer att ingå i gruppen Dataförädling, en spännande grupp som har ett helhetsansvar för nyutveckling, vidareutveckling och förvaltning av data som stödjer hela myndighetens verksamhet. Ditt arbete kommer att bidra till att öka tryggheten och bekämpa brottsligheten i Sverige. Du utgår från moderna lokaler på Kungsholmen i Stockholm, med möjlighet att arbeta hemifrån upp till två dagar i veckan. Som statligt anställd på Polismyndigheten erbjuds du trygga och särskilda förmåner kring pension, föräldralön, friskvård m.m. Läs mer om våra förmåner här: https://polisen.se/jobb-och-utbildning/polisen-som-arbetsplats/det-har-erbjuder-vi/ Arbetsbeskrivning I rollen som dataingenjör kommer du att arbeta med att förädla och tillgängliggöra data som stödjer hela myndighetens verksamhet. Vi levererar dataprodukter som möjliggör allt från minutoperativa lägesbilder till ax-till-limpa-uppföljning av brottsbekämpande arbete. Dessa används sedan dagligen inom utredning, underrättelse- och operativ verksamhet. Informationslandskapet är inte statiskt och efterfrågan på data förändras över tid. Som dataingenjör kommer du att arbeta i ett nära samarbete med både kollegor och många olika delar av verksamheten för att förstå deras behov och leverera den bästa lösningen. Typiska arbetsuppgifter kan vara: Bygga automatiserade dataflöden som är helt eller delvis strömmande Transformera, koppla ihop och länka data som en del av ett dataflöde Modellera stora datamängder Omvärldsbevaka aktuella tekniker Utvärdera och införa nya tekniker eller komponenter i våra plattformar Vill du veta mer om hur det är att jobba som dataingenjör inom dataförädling på Polismyndigheten? Läs mer via följande länk där en av medarbetarna i teamet, Oscar, berättar om sin arbetsvardag: https://polisen.se/jobb-och-utbildning/jobba-hos-polisen/jobb-it-avdelningen/sagt-om-jobbet/oscar-data-engineer/ Kvalifikationer Detta är en möjlighet för dig som har: Akademisk examen inom IT eller motsvarande förvärvad erfarenhet som Polismyndigheten bedömer som likvärdig Flerårig erfarenhet av SQL-utveckling Erfarenhet av att utveckla batchorienterade och/eller strömmande dataflöden i en on-premise miljö God förmåga att uttrycka dig på svenska, både i tal och skrift Anställningen kräver svenskt medborgarskap Vi ser det som meriterande om du har kompetens/erfarenhet kring någon eller några av nedanstående kompetenser och tekniker, men du behöver inte ha kompetens kring allt, då du kommer att få möjlighet att få påbyggnad/lära dig på plats hos oss. Tillståndsbaserade transformationer (stateful processing) Ramverk för strömmande data som t.ex. Apache Flink, Spark Streaming eller Kafka Streams Strömmande databaser Grafdatabaser Containerteknologi som t.ex. Docker eller Kubernetes Programmering i Python med fokus på datatransformering Datamodellering för analys Personliga egenskaper Du är en kreativ och engagerad person som vill förstå verksamhetens behov. Arbetsuppgifterna ställer krav på att du är flexibel, lösningsorienterad och kvalitetsmedveten. Vidare är du en lagspelare, lyhörd och van att arbeta i team. Du tycker om att dela med dig av dina kunskaper och hjälpa andra när det behövs. Vi värdesätter dessutom att du är anpassningsbar och kan skicka fokus när arbetet kräver det, då denna roll hanterar olika typer av uppdrag, av olika karaktär. Vidare ser vi att du är någon med ett brett tekniskt intresse, framförallt kring datafrågor, är engagerad med eget driv, där vi sätter värde på att du vill utvecklas, lära nytt och dela med dig av din kompetens. Vi kommer att lägga mycket stor vikt vid din personliga lämplighet och dina personliga egenskaper. Kontaktpersoner Har du frågor om uppdraget så är du välkommen att kontakta rekryterande chef, tfn 010-5636065 Har du frågor om rekryteringsprocessen? Välkommen att kontakta HR-konsult, Sara Petersson, [email protected] Fackliga företrädare Polisförbundet, Sofia Ask, tfn 010-563 87 10 Seko Polisen, Karna Tillheden, tfn 073-249 04 22 Saco-S, nås via mejl [email protected] ST nås via mejl, [email protected] Övrig information Anställningsform: Tillsvidareanställning, 6 månaders provanställning Anställningsbenämning: Handläggare Arbetsort: Stockholm/Kungsholmen Funktion: Systemutvecklare Arbetstid: Förtroendearbetstid Tillträde: Enligt överenskommelse Ansökan sker via arbetsgivarens hemsida. Följ instruktionerna i annonsen för att skicka in din ansökan

Role Summary TRATON Financial Services’ Internal Audit department is looking for an Audit Data & AI Solutions Engineer to help build the next generation of audit technology. Internal Audit is the third line of defense. We look for things others may have missed — the proverbial needle in the haystack. Our role is to assess whether controls designed to prevent mistakes, fraud, inefficiency, and regulatory breaches are actually working in practice. For several years, we have successfully used source-system data, analytics, and dashboards to make audits more targeted and data-driven. Building on that foundation, we are now expanding into AI-enabled audit technology: automating parts of audit sample testing by drawing evidence-based conclusions from documents in multiple languages, identifying unusual assets or transactions, and building dashboards and applications that help auditors focus on what matters most. You will be part of a small team within Internal Audit that builds the solutions to make this happen. The work spans hands-on data mapping, source-system analysis, Power BI or HTML dashboards, anomaly detection, machine learning, and agentic AI solutions for audit sample testing and document review. This creates both opportunities and challenges. We can move quickly, test ideas, and learn through short feedback loops with auditors. At the same time, we do not have large predefined frameworks, methods, or roadmaps. We need people who enjoy building things in complex environments, can operate between data, software, AI, and business processes, and can create solutions that are structured, documented, trustworthy, and sustainable. Job Responsibilities As Audit Data & AI Solutions Engineer, you will build and maintain data, analytics, automation, and AI solutions that help Internal Audit assess controls and identify anomalies. That includes: Retrieving, mapping, validating, and structuring data from source systems across brands and markets Building analytics and algorithms to identify anomalies, control weaknesses, unusual transactions, approval issues, collateral risks, or financial crime indicators Developing AI-enabled and agentic solutions for document analysis and audit sample testing, including prompts, skills, tools, agent workflows, evaluation logic, and evidence-based outputs Creating Power BI, HTML, or other dashboards that present complex findings in a clear and useful way Ensuring that algorithms, prompts, data flows, and assumptions are documented and built in a modular way so they can be reused. Who you are: We are looking for a fast learner and hands-on builder who has: Strong Python and SQL skills Comfort using AI tools and coding agents such as Codex, Claude Code, OpenCode, or similar to write, test, debug, and improve code Curiosity to understand business processes, controls, audit logic, and what makes an analysis useful in practice The ability to turn unclear business problems into working, tested, and maintainable solutions Experience building practical technical solutions such as scripts, data tools, dashboards, applications, automations, or analytics workflows Strong analytical and debugging skills, including the ability to investigate data quality issues, logic errors, and unexpected results A structured approach to documentation, testing, version control, and reusable code Excellent communication skills in English, both written and verbal. It is an advantage if you have experience with: Power BI, data modelling, DAX, Power Query, or code-based Power BI development Machine learning, anomaly detection, exception reporting, or process monitoring LLM applications, document analysis, agents, RAG, prompt/context engineering, tool use, skills, OCR, JSON, APIs, or workflow applications Additional languages, data visualization, financial services, audit, risk, compliance, or controls. This Is Us At TRATON Financial Services (TFS) we have started the journey to become the provider of Financial Services to all TRATON brands. Our service includes financing for customers, dealers, and distributors as well as insurance solutions. With a presence in over 65 markets, we are already one of the most global actors in the financial services industry and are rapidly growing. Do you want to be part of this journey? TRATON Financial Services Offers We believe great work starts with feeling supported, both professionally and personally. That’s why we offer a broad range of employee benefits designed to promote wellbeing, flexibility, and a healthy work-life balance. Employees can enjoy flexible working hours and a workplace that supports both collaboration and flexibility. With office Hubs in Södertälje and Stockholm, as well as coworking spaces at Sergels Torg and Kungens Kurva, you will have the best preconditions to pick the best workplace for your activities. We provide a yearly wellness contribution and you can train at our health centre Gröndal, and you will access to occupational health services with doctors, nurses, and ergonomists. Mental health is important to us, therefore we also offer confidential staff support services for guidance related to personal challenges. In addition, employees benefit from pension plans, profit sharing programs, and extra time off or additional pension contributions. We also support family life through enhanced parental benefits and offer additional perks such as employee car leasing. Together, these benefits help create a workplace where you can thrive both at work and in everyday life. Application We look forward to receiving your application, consisting of your CV and kindly ask you not to share a cover letter to ensure an efficient and unbiased recruitment process for all parties. Apply as soon as possible, no later than 2026-09-28. Screening will take place on an ongoing basis during the application period. Technical case, logical and personality tests may be used as part of the selection process, and a background check is required for this role.