We are looking for a Senior Software Engineer with Java, Go, Python, and AWS skills to join a global company in Gothenburg. About the team: The team builds and operates backend services within the company´s Assistance Services domain. Their solutions support critical connected-vehicle journeys, including stolen vehicle tracking, emergency services, roadside assistance, vehicle positioning, and call-centre operations. As part of the team, you’ll work with cloud-based services, APIs, integrations, databases, and monitoring. Current initiatives include improving position handling for vehicle services, supporting new vehicle launches and customer rollouts, developing global assignment capabilities, migrating customer care solutions, and strengthening alarm management via PagerDuty. The team works closely with teams across the company and with customers such as Volvo Cars, Jaguar Land Rover, Polestar, and Subaru. Their responsibility extends throughout the service lifecycle—from design and development to testing, production rollout, monitoring, support, and continuous improvement. Join the team if you enjoy solving complex backend challenges, taking ownership of production services, and building reliable connected-vehicle solutions used around the world. Who are you? You are open-minded, flexible, and thrive under challenging and changing conditions. As a person, you are a curious, innovative, and analytical problem solver. You enjoy teamwork and have an inclusive approach to your work. You deliver high-quality code and feel great ownership of the code you produce. You are willing to cater for the complete lifecycle of the code. The team: The team's culture is based on collaboration and ownership. Instead of spoon-feeding individual team members with tasks, the team commits to delivering bigger user stories. User story breakdown and refinement is done in a collaborative, on-demand fashion We see that you: Prefer to be in the office. Minimum 3-4 days/week during onboarding. 2-3 days/week is OK later on. Collaboration: Enjoy and want to do mob programming and task collaboration. Innovation & Flexibility: Open to learning, improving, and working with diverse technologies; enjoys refactoring and trying new things. Requirements: Go and Python Java AWS DevOps knowledge and a drive to work on monitoring, closing vulnerabilities, risk work etc. On-call: Mandatory Observability Stakeholder or Customer Interaction OEM Integration Support Experience working with legacy This is a full-time consultant position through Incluso, starting in October. It is a one-year contract with the possibility of extension. This role is hybrid. Please submit your CV as soon as possible, as applications will be reviewed on an ongoing basis. Application deadline: 20 September. For more information about this role, please contact Karin Persson

Senior Full-Stack Engineer (ML & Data) Own our prediction models from training pipeline to customer-facing feature. Strong applied ML — calibration, evals, leakage — plus full-stack TypeScript to ship it. We build AI agents that audit and optimize e-commerce advertising. Our platform syncs live data from Google Ads, Meta, Merchant Center, and Google Analytics, runs it through a rule engine, LLM-powered audit agents, and our own prediction models, and turns findings into concrete actions marketers can apply with one click. What sets us apart is measurement: we connect real profit data from our customers' e-commerce platforms to their ad accounts and build models that tell them what their marketing actually returns — not what ad platforms self-report. The ML in our product isn't decoration. Prediction models, calibration, and evaluation pipelines are core to what customers pay for. We're a small team shipping fast on a modern, strictly-typed stack. You'd report directly to the CTO, with real ownership: features you design end-to-end, and models you own from training data to the number a customer sees on screen. The role This is a hybrid role — roughly 60% product engineering, 40% ML & data science. You'll ship full-stack features in our TypeScript monorepo and own prediction models as production software: framing the problem, building training and evaluation pipelines, monitoring calibration drift, and wiring outputs into the product. We're not looking for a research scientist, or a pure web engineer. We want someone who treats a model the way a good engineer treats a service: tested, monitored, versioned, and honest about its failure modes. What you'll do Own prediction models end-to-end — models that predict product returns and net profit per order — training data pipelines, feature engineering, evaluation (ranking quality and calibration), recalibration strategies, and serving model output into the product. Build and maintain data pipelines — SQL feature builders on PostgreSQL shared by training and serving, versioned dataset exports, backfills, and data quality checks that keep training data honest (no leakage, no silent schema drift). Design and build features across our TypeScript monorepo — tRPC procedures and NestJS services on the backend, React on the frontend — so model insights become actions marketers can apply with one click. Work on the AI audit agent — prompt design, rule evaluation, structured-output evals, and plumbing that turns LLM output into reliable, deduplicated actions across multiple model providers. Extend integration workers — sync campaign, product, and analytics data from Google and Meta APIs via Cloud Pub/Sub pipelines. Evolve the data model in PostgreSQL/Prisma — keep migrations, multi-tenancy, and role-based access clean as the product grows. Own quality — write tests (Jest on TypeScript, pytest on Python), review PRs, and keep our CI/CD pipeline to Cloud Run fast and boring. Our stack Backend — TypeScript, Node, js, NestJS + Fastify, tRPC, Zod, Prisma, PostgreSQL, ML & data — Python, pandas, scikit-learn, XGBoost, PyTorch, ONNX, SQL on PostgreSQL, BigQuery, Calibration pipelines, Bayesian MMM (Google Meridian) Model serving — FastAPI on Cloud Run · Cloud Run Jobs · GPU training on GCP Batch Frontend — React · Vite · Tailwind · End-to-end types via tRPC Infrastructure — Google Cloud Run · Pub/Sub · Docker · Terraform · GitHub Actions · pnpm workspaces AI & integrations — Multiple LLM providers · Google Ads · Meta · Merchant Center · GA4 What we're looking for 5+ years building production software, with strong TypeScript on both server and client — or strong TypeScript on one side plus deep Python, with the willingness to close the gap fast. Hands-on applied ML: you've trained, evaluated, and shipped prediction models that real users depended on. You can explain the difference between good ranking and good calibration, know what data leakage looks like, and have debugged a model that was confidently wrong. Fluent Python for data work (pandas, scikit-learn or similar) and strong SQL — comfortable with large datasets in PostgreSQL or BigQuery. Solid relational database instincts — schema design, migrations, and query performance in PostgreSQL (Prisma is a plus). Experience with event-driven or queue-based architectures (Pub/Sub, SQS, Kafka, or similar) and their failure modes. A habit of testing: you write tests because they let you move faster, not because someone told you to. Pragmatic product sense — you ask why before how, and you'd rather ship a focused, well-measured model than a state-of-the-art one nobody can maintain. Nice to have Bayesian modeling or marketing mix modeling experience (priors, ROI calibration, health diagnostics). Hands-on work with LLM APIs in production — prompting, evals, structured output, cost control, switching providers. Experience serving models on GCP (Cloud Run, GCP Batch, Vertex AI) and monitoring for drift. Familiarity with Google Ads, Meta, or Merchant Center APIs, or ad-tech / e-commerce domain experience. NestJS, tRPC, or GCP (Cloud Run, Artifact Registry, Workload Identity) in a previous role. How we work Small team, short feedback loops, no ceremony for ceremony's sake. Strict TypeScript, code review on everything, CI that deploys to Cloud Run on merge. Models are held to the same standard as code: evaluated before they ship, monitored after. We optimize for shipping value weekly and keeping the codebase a place people enjoy working in. We're a fast-growing team building AI agents that handle the repetitive work — so companies can focus on vision, strategy, and innovation. Here, you'll own ideas from first sketch to finished product, work closely with the founders, and see your impact immediately. We celebrate success, learn from challenges, and believe true magic happens through collaboration. Want to shape the future of AI-driven marketing? 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.

Company Description: The Employer is a modern data consultancy Company focused on building long-term, high-quality data solutions that create real business value. In a world where AI can generate code in seconds, we believe that true impact comes from deep craftsmanship, strong data modeling, and a solid understanding of quality and security. We are founded by experienced entrepreneurs, technical leaders, and sales professionals who know how to build sustainable teams and meaningful client partnerships. Our ambition is to shape the future of tech consulting by combining technical excellence with a human-centered culture. Our services / Product: We design and build robust data platforms, pipelines, and architectures that enable organizations to turn data into actionable insights. Our work spans across modern data ecosystems, including cloud-based platforms, advanced data processing, and AI-supported workflows. We focus on scalable, maintainable, and secure solutions using technologies such as Python, SQL, Microsoft Fabric, Databricks, Apache Spark, and dbt. About us & our references: We work closely with our clients to understand their real needs and deliver solutions that stand the test of time. Rather than chasing short-term projects, we focus on long-term value creation and strong partnerships. Our founders bring extensive experience from building successful companies and leading high-performing teams, ensuring that both our consultants and our clients are set up for success. Our team & Culture: We believe that great technology is built by people who care. We foster a culture where knowledge sharing is as natural as grabbing a coffee together. There is no room for unnecessary internal competition or sharp elbows. Instead, we focus on collaboration, curiosity, and continuous learning. You will join a team that values both technical excellence and human connection, proving that the best tech companies can be both smart and kind. Requirement Profile: We are looking for a Data Engineer with 5+ years of experience as a developer or in a related field, including minimum 3 years of Data Engineering, who wants to grow within the data domain and work with modern technologies in a meaningful way. You take ownership of the business understanding and of the customer project and relationship, making sure the technical work connects to real value for the client. Job Responsibilities: - Design, build, and maintain scalable data pipelines and data platforms - Ensure high data quality, security, and maintainability across solutions - Collaborate with clients to translate business needs into robust technical solutions - Act as a bridge between modern technologies and sustainable system design Daily Activities: You work at assignments at our client's site. - Develop and optimize data pipelines using tools such as Python, SQL, and modern data platforms - Work with cloud and data processing technologies like Databricks, Microsoft Fabric, Spark, or dbt - Participate in client projects where you ensure long-term value and technical excellence - Explore and apply AI tools to enhance development workflows while maintaining high standards Qualifications and Requirements: - A university degree in engineering, computer science, or a related field - 5+ years as a developer, with minimum 3 years in Data Engineering - Strong skills in Python and SQL - Experience with building data pipelines and working with modern data platforms - Familiarity with tools such as Databricks, Microsoft Fabric, Apache Spark, or dbt is a plus - Interest in AI and modern coding tools such as coding agents - Fluent in Swedish, both spoken and written. Personal Attributes: - Quality-oriented mindset with a strong understanding that data quality is the foundation of all analytics and AI - Technically curious with a broad interest in data, systems, and new technologies - Able to critically evaluate AI-generated code and ensure it is secure and scalable - A collaborative team player who enjoys sharing knowledge - Driven by learning and continuous improvement - Care by design in every solution Career Development Opportunities & Benefits: - Opportunity to shape your role and influence how modern consulting evolves in an AI-driven world - Work on cutting-edge projects while focusing on long-term, sustainable solutions - A stable and secure environment backed by experienced founders - Competitive salary, pension, and benefits - A supportive and human-centric workplace culture 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.

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves Software Factory brings skilled professionals together to harmonize engineering workflows, build common tools, and accelerate software development at Volvo Cars. We develop and operate applications that turn engineering data into actionable software-quality KPIs, while building governed data products with clear ownership and reliable quality. Our insights help teams improve infrastructure use and make better decisions across the CI/CD flow. We are looking for an experienced Data Engineer to help enable a stable, robust, and secure electrical system for our next-generation software and electronics platform. What you'll do As a Data Engineer, you will build and maintain scalable data platforms and ETL/ELT pipelines that support data-driven development across Software Factory. You will work with engineers and stakeholders to turn data needs into reliable solutions and ensure data is accessible, consistent, and fit for use.You will strengthen data governance by supporting standards, cataloguing assets, monitoring quality and compliance, and resolving data issues with data owners, analysts, and engineers. You will also promote sound data-management practices and ethical use of data.In this role, you will:• Design and maintain the end-to-end data platform, including ingestion, Apache Iceberg lakehouse storage, Dagster orchestration, and Snowflake warehousing• Build reusable ingestion frameworks for onboarding new data sources• Evolve lakehouse table formats, schemas, and governance• Define and enforce data contracts, service-level agreements, and quality standards• Monitor pipelines, data quality, and infrastructure health• Deliver data solutions for analytics and product use cases with cross-functional teams• Deploy and operate data infrastructure using Kubernetes, Helm, GitOps, and CI/CD• Document architecture, governance, and onboarding to support self-service data use• Evaluate technologies that improve platform capabilities What you'll bring • MSc in Computer Science, Software Engineering, or equivalent practical experience• Strong Python and SQL skills• Experience building and operating data pipelines with orchestration tools such as Dagster or Airflow• Hands-on experience with Snowflake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Hudi• Strong knowledge of data modelling and dbt• Experience with data cataloguing and governance tools such as Snowflake Open Catalog, Unity Catalog, or Polaris• Cloud-platform experience, preferably Azure, including Blob Storage, networking, and Entra ID• Experience deploying data services with Kubernetes, Helm, and Docker• Familiarity with CI/CD tools such as GitHub Actions• Experience with monitoring, alerting, and observability solutions such as Grafana• Experience working in agile environments such as Scrum, Kanban, or SAFeYou are structured, self-driven, and accountable, with strong collaboration and communication skills across disciplines.

Build AI that works in the real world We are looking for an AI Solutions Engineer who wants to build AI solutions that work inside client environments, pass their security reviews and keep running after the project closes. This is not about prototypes or pilots. It is about getting solutions into production, connected to the systems clients actually use. The role You will work alongside our AI engineers and transformation strategists to design, build and deploy agentic solutions for clients. You will handle everything from technical design and integrations to cloud deployment and client-facing conversations about what you have built. A central part of the role is contributing to reusable architectures and standards so that each new engagement builds on the last rather than starting from scratch. The role spans infrastructure, integrations and technical design. You may not be equally strong in all three, and we are not expecting that. We are looking for range and the appetite to keep widening it. Contribute to the technical design of AI solutions, including agent architecture, tool selection and orchestration, and integration logic Build and maintain integrations into client systems, including REST APIs, gateways and connections into marketing and communications technology platforms Set up and operate solutions on Azure or AWS, covering deployment, monitoring, access control and cost management Take part in client meetings, turning requirements into technical options and explaining what has been built to non-technical stakeholders Contribute to reusable architectures and components that carry over to the next client Ensure that security and data governance requirements are addressed throughout the build process What good looks like after 6 months Solutions you have worked on are running in client environments and can be maintained by more than one person The client's IT and security teams are comfortable working with you directly Integration work you have contributed to is being reused across clients Colleagues actively want you on their engagements Who you are You are someone who is motivated by getting things to work in practice, not just in theory. You have a few years of experience working in tech and are comfortable being the only technical person in a room, explaining trade-offs without jargon and being honest about what will and will not work. You are curious, you ask when you do not know, and you document what you build so others can maintain it. To succeed in this role you bring a combination of the following experience and strengths: Experience shipping production code, including working in unfamiliar codebases Hands-on experience with Azure or AWS, including setting up and managing infrastructure in production Integration experience including REST APIs, authentication and webhooks Experience building solutions powered by LLMs (e.g. OpenAI, Anthropic), with practical understanding of how agents behave with real data Working knowledge of security and data protection principles (e.g. least privilege, data residency), with the ability to identify when specialist support is needed Professional English. Swedish is an advantage but not required Nice to have Experience from an agency or consultancy environment Familiarity with marketing and communications technology platforms Experience with Node.js and/or Python Working at Comprend Comprend is a place of belonging, where people are valued and empowered to create impact. We embrace diverse perspectives, bridge gaps, dare to challenge and win as a team. This is a full-time position. We prefer you to be based in Stockholm, Helsingborg or Malmö, where most of the team is located, but are open to discuss placement in London or Helsinki as well. We offer a competitive employment package. About Comprend Comprend is a partner for tech-enabled marketing and communication driving transformative impact. We are 200 specialists collaborating across Sweden, Finland and the UK. With extensive expertise and a strong track record in B2B, B2C and corporate communication, we help clients decode complexity, influence audiences and strengthen brand perception. With us, your voice will be one of many diverse and highly valued perspectives that shape how we work and partner with our clients. Comprend is part of Aura, a leading consultancy group with over 500 specialists across a wide mix of backgrounds and expertise.

Vill du kombinera avancerad Pythonutveckling med möjligheten att påverka hur moderna dataflöden byggs? Här får du arbeta i en tekniskt ambitiös miljö med komplexa dataflöden, moderna tekniker och nära koppling mellan teknik och verksamhet. En roll för dig som vill arbeta nära tekniken, ta ansvar för dina lösningar och se dem skapa konkret värde för verksamheten. OM TJÄNSTEN: Som Data Engineer blir du en viktig del av arbetet med att utveckla och modernisera företagets analysplattform. Du bygger lösningar som hämtar data från centrala verksamhetssystem, andra datakällor och externa API:er och förädlar den till kvalitetssäkrad och användbar information för analys, uppföljning och beslutsfattande. Rollen har ett starkt fokus på Python och innebär att du arbetar genom hela dataflödet, från datakälla och modellering till test, driftsättning och förvaltning. I takt med att plattformen utvecklas får du också bidra till hur Pythonkod, datamodeller och dataflöden struktureras och byggs för att skapa robusta och återanvändbara lösningar. ARBETSUPPGIFTER:Utveckla och underhålla ETL-flöden i Python. Hämta och integrera data från SQL-databaser, API:er och verksamhetssystem. Transformera, kvalitetssäkra och modellera data. Utveckla återanvändbara lösningar för nya datakällor. Paketera dataflöden med Docker och köra dem i Azure. Bygga in loggning, felhantering och tester. Vidareutveckla flöden för bygge och driftsättning i Azure DevOps. Samarbeta nära verksamheten och andra utvecklare. VI SÖKER DIG SOM:Har en civilingenjörsutbildning inom relevant område. Har minst tre års arbetslivserfarenhet av professionell utveckling i Python. Har goda kunskaper i SQL och relationsdatabaser. Har erfarenhet av att utveckla ETL- eller ELT-flöden. Har förståelse för datamodellering, datakvalitet och spårbarhet. Är van vid att utveckla kod som ska testas, driftsättas och förvaltas. Har erfarenhet av Git, kodgranskning och CI/CD. Har god förmåga att uttrycka dig på svenska eller engelska. Det är meriterande om du har erfarenhet av Azure SQL, Azure Container Apps, Azure Key Vault, Pandas, SQLAlchemy eller PyODBC. Erfarenhet av Docker, infrastruktur som kod – gärna Bicep – testautomatisering, övervakning av dataflöden eller visualiseringsverktyg som Streamlit, Plotly och Power BI är också värdefullt. För att trivas i rollen tror vi att du uppskattar en miljö där utvecklingen går snabbt och där du får ta stort eget ansvar. Du gillar att gå på djupet i tekniska problem, skriva välstrukturerad kod och samtidigt förstå vilket värde datan skapar för verksamheten. Eftersom du kommer att samarbeta nära både utvecklare och verksamheten är det också viktigt att du uppskattar kunskapsutbyte och nära samarbete. OM FÖRETAGET: Företaget är en etablerad organisation med en tekniskt ambitiös verksamhet där digital utveckling och moderna tekniska lösningar har en viktig roll. Du blir en del av en miljö med korta beslutsvägar, stort förtroende och nära samarbete mellan teknik och verksamhet. Analysplattformen befinner sig i en förändringsfas, vilket ger dig möjlighet att vara med och påverka hur datalösningar, arbetssätt och tekniska strukturer utvecklas framåt. OM ANSTÄLLNINGEN: Detta är en direktrekrytering, vilket innebär att Friday ansvarar för rekryteringsprocessen och att du därefter blir anställd direkt av företaget. ÖVRIG INFORMATION: Omfattning: HeltidStart: Enligt överenskommelsePlacering: Centrala StockholmRekryteringsansvarig: Maja Dahlin ([email protected])Lön: Fast månadslön Ansök genom att klicka på länken nedan. Kom ihåg att vara snabb med din ansökan då vi gör löpande urval och annonsen kan stängas innan tjänsten är tillsatt. OM FRIDAY: På Friday brinner vi för att hjälpa dig att ta nästa steg i din karriär inom IT och teknik, oavsett om du söker ditt första jobb eller redan har några års erfarenhet. Genom att lyssna på vad just du vill och drivs av matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet. Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas. Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups. Sökord: Data Engineer, Python, Pythonutvecklare, SQL, ETL, ELT, Azure, Azure SQL, Azure DevOps, Docker, Pandas, SQLAlchemy, PyODBC, CI/CD, Datamodellering, Data Engineering.

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves You will join ‘SWEP Software Factory’ department within the broad Volvo Cars Engineering organization. We are responsible for development of CI pipelines, SW Flow, Software-In-Loop (SIL) test frameworks, Test rig environments and Data analytics.As part of our continued growth, we are looking for a Data Architect who will help shape the future of our data landscape and enable data-driven decision-making across the our department and SWEP at large.The location is Lund, Sweden. What you'll do   Drive architectural alignment across the Software Factory and the broader organization. Partner with engineering teams to guide the architecture of data pipelines, storage solutions, APIs, and analytics platforms. Work with Requirements management and Traceability topics Harmonize Data visualizations to support program management with execution and improving overall developer experience Manage stakeholders and do active networking to gather requirements across Engineering Leverage your knowledge of Data, Analytics, Documentation to provide a holistic one stop place where Developers find reliable source of information Support work on technical roadmap development for actionable data analytics to provide transparency and observability into CI and Test pipelines Support implementation of Dashboards covering KPIs and Quality metrics Profile description: What you'll bring You are an experienced software architect with a curious approach to new challenges and a customer-oriented mindset. You can switch focus between the big picture and technical details when required. You enjoy great teamwork and are proactive, creative, and willing to share your experience and knowledge. You are entrepreneurial and have the capacity to drive issues in cooperation with our stakeholders. You can also navigate your way through ambiguous and undefined problems. Solid communication skills, both in written form and in face-to-face meetings are important skills you should possess. You are passionate about data quality, data modelling, and scalable architectures.You have a Master degree / PhD in Computer Science, Computer Engineering, or equivalent. You are self-going with 15+ years of experience in software development and have a data-oriented mindset. Strong background in data analytics and AI/ML.Skills you should have: Proven experience as a Data Architect, Sr. Data Engineer, or similar role Expertise in data modelling, data governance, metadata management, and data quality The skills and experience to understand and explain mechanisms about medium/large scale software systems Advanced proficiency in Python, SQL Experience in Zuul, Jenkins, Message Bus Proficient with tools such as, Snowflake, Databricks, Azure Familiarity with Infrastructure as Code (IaC), CI/CD pipelines, and containerization tools such as Docker and Kubernetes. Experience with Volvo Cars Engineering Data Platform Strong communication, multitasking, problem-solving, and planning skills Excellent networker and cross-functional team player with a can-do mindset Fluency in spoken and written English Background working in Agile or DevOps-oriented environments

Sergel Group is one of the leading providers of credit management services in the Nordic region. We offer services within credit scoring, debt collection, debt purchasing, as well as messaging and payment solutions. Sergel is part of Marginalen Group and has just over 150 employees across Sweden, Denmark, Norway, and Finland. About the role Sergel is on an exciting journey to strengthen its inhouse capabilities, bringing more competence and ownership closer to the business. This means several ongoing development areas and new projects where data plays a central role, and the people who work with it are central to Sergel's ability to compete and grow across the Nordic market. In this role you will drive the development of scalable, efficient and compliant data solutions, with a strong focus on operational excellence and exploring new opportunities for innovation. You will have significant autonomy and a broad mandate to influence technical direction, make key decisions and ensure they are executed with real impact. We are looking for someone who combines strong technical expertise with a natural drive to take ownership and move things forward. Over time, you are motivated by the opportunity to take on greater responsibility and a more leading position within the area. Your responsibilities will include: Defining and enforcing data modeling standards, best practices and governance policies. Designing and maintaining scalable data pipelines and optimizing ETL processes. Building and maintaining applications and integrations for data ingestion, transformation and delivery. Driving the shift from external-dependent delivery toward strong in-house capability. Setting the technical direction and owning key architectural decisions. Ensuring that BI is an integral part of the data platform, enabling trusted reporting, analytics and data-driven decision-making across the organization. Qualifications and experience You are someone who combines deep technical expertise with a natural drive to take ownership. You communicate clearly across technical and non-technical stakeholders and thrive in environments where you can shape and improve things rather than just maintain them. You enjoy working closely with others, sharing knowledge and helping the team grow through collaboration, curiosity and mutual respect. You are humble enough to listen and confident enough to challenge when needed. You also bring: Solid experience as a data engineer and experience with designing, modeling and implementing data-intensive systems. Strong proficiency in SQL and C# .NET/Python. Experience with ETL tools, data pipeline frameworks and orchestration tools. Understanding of CI/CD principles. Knowledge of data governance, GDPR compliance and security best practices. The ability to drive technical decisions and set standards. Fluency in English. Valid work permit. You don't need to be senior in every area listed above, if you bring strong fundamentals and the right mindset, there is room to develop and grow into the full scope of the role. Meriting experience: Experience from financial services, credit or similar data-intensive industries. Knowledge in one of the nordic languages. Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. About the company In Sergel we care about the people we meet. We are a company with a culture based on trust and learning, where we work towards strengthening individuals through competence, compassion and a high level of engagement. Together we work with clear ownership and shared responsibility towards our stakeholders, which creates long-term and loyal business relations. We always try to find new ways of working and challenging the market. We want our employees to develop with the company and have fun with their colleagues on the way. Additional information Start: By agreement Location: Central Stockholm Extent: Full-time Salary: By agreement We apply ongoing selection in this recruitment process, which means the position may be filled before the final application date. We therefore recommend submitting your application as soon as possible. If you have any questions regarding Asta Agency’s recruitment process, please do not hesitate to contact us at [email protected]. About Asta Agency Asta Agency is a recruitment and staffing company helping businesses across Sweden find the right professionals, with a primary focus on Stockholm, Gothenburg, and Malmö. We recruit and provide consultants within sales, marketing, HR, customer service, finance, administration, IT, and tech – both specialists and generalists. With a strong focus on quality, long-term partnerships, and smart solutions, we support both companies and candidates in taking the next step. Learn more about how we work with recruitment, staffing, and temp-to-perm solutions at astaagency.se.

Careium is looking for a Data Engineer to help us shape and build a modern data and delivery platform from the ground up. If you have a strong drive to do things properly and take ownership of your work, then this is the job for you. About Careium Careium delivers solutions within personal safety and connected care. We have a global presence but work with a strong local feel, and right now we are in a phase where there is real work to be done - automation, data infrastructure, and smarter ways of building and shipping software are all on the table. About the Role As a Data Engineer in the platform team, you will be the driving force behind our data infrastructure. You will work closely with both software developers and the wider organization to ensure that our data is accessible, reliable, and structured for the future. Day to day you will be working with things like: Implementing and expanding our central data lake and data warehouse, building upon the completed initial design and its main components. Setting up and maintaining robust ETL/ELT pipelines to ingest data from various internal and external sources. Continuing the groundwork of our event-driven platform enabling real-time alarm data and user activity. Moving existing data integrations and legacy data streams onto the new modern platform. Getting data documentation, a data catalogue, and data governance frameworks in place. Collaborating with DevOps colleagues in the team to automate data infrastructure deployments and monitoring. Coaching developers and analysts in data engineering best practices and efficient querying. Who We Are Looking For You should have solid hands-on experience from a Data Engineering role and a genuine interest in cloud architecture, data modeling, and streaming data. Since you will be part of a platform team, a DevOps mindset regarding automation, containerization, and infrastructure as code is a big plus. It helps if you have worked with tools like: Python, Bash, Ansible, Terraform, or equivalent. AWS, or other cloud providers. Docker, Kubernetes, or equivalent. Streaming and event-hub technologies like Apache Kafka, RabbitMQ, or AWS Kinesis. Data transformation and orchestration tools (dbt, Apache Airflow, or similar) as well as modern data warehousing. Just as important as the technical side, you communicate well, you are easy to work with, and you bring a calm, structured approach when things get complicated. You follow through on what you commit to, and you are not afraid to flag when something is not working. Practical Information Location: Malmö Scope: Full-time Work model: Hybrid, as agreed Employment type: 6-month assignment through A-hub. The recruitment process is managed by A-hub. Questions about the role are answered by the recruiter responsible.

Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar. Your Role We are looking for a Senior Data & AI Platform Engineer who wants to contribute to the development of modern Data & AI platforms. In this role, you will combine deep technical expertise with hands-on engineering and help build secure, scalable, and robust environments for advanced AI solutions. You will be part of Software Excellence and Information Assurance (SWEIXA) within Saab Surveillance. Working closely with other experienced engineers, you will provide technical expertise in cloud-native platforms, Kubernetes, and AI infrastructure. As a Senior Data & AI Platform Engineer, you will work across the entire technology lifecycle, from design and implementation to deployment, troubleshooting, and continuous improvement. You will also contribute knowledge related to AI tools, their capabilities and limitations, helping the team develop sustainable technical solutions that meet business and customer needs. Key Responsibilities: Design, develop, and enhance cloud-native Data & AI platforms Develop platform functionality and work with Kubernetes and Kubernetes Operators Implement, deploy, and troubleshoot solutions in complex technical environments Work with automation, GitOps, CI/CD, and observability Contribute technical expertise, knowledge sharing, and the continuous improvement of team practices Explore how emerging AI technologies and tools can be utilized and integrated into our platforms Travel may be required as part of this role. Your Profile We are looking for someone with solid experience in software engineering and platform development who enjoys working close to technology. You have a strong technical interest and thrive on solving complex challenges in collaboration with others. We believe you have experience in several of the following areas: Golang or other programming languages used for systems-level development Kubernetes, Kubernetes Operators, and containerized environments Cloud-native platforms, as well as DevOps, GitOps, and CI/CD practices Linux and automation using tools such as Python or Shell scripting Data-intensive environments and the deployment and management of AI models Experience in any of the following areas is considered a merit: AI-assisted software development or agent-based AI Large Language Model (LLM) technologies, including prompting and Retrieval-Augmented Generation (RAG) Test automation Security testing You hold a university degree in Computer Engineering, Computer Science, or a related field, or have gained equivalent competence through professional experience. As a person, you are curious, solution-oriented, and capable of understanding complex technical challenges. You enjoy sharing your knowledge and collaborating with others while also being comfortable driving technical initiatives independently. This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply. What You Will Be Part Of Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here If you are interested in what benefits you can take part of as an employee at Saab in Sweden, you can read more about them here