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

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.

Är du klar med din universitetsutbildning och har ett intresse för maskininlärning och signalbehandling? Ser du ett vidare steg inom försvarsindustrin som viktig och intressant? Då kan denna möjlighet vara någonting för dig. Om rollen Vi söker dig som har en stark teknisk grund inom exempelvis teknisk fysik, teknisk matematik eller elektroteknik och som vill arbeta i gränslandet mellan sensorik, signalbehandling och maskininlärning. I rollen kommer du att arbeta med att behandla och analysera sensorsignaler så att de kan användas av algoritmer för detektion, klassificering och identifikation. Det handlar om att förstå hela kedjan, från sensor och råsignal till feature extraction, modellering och output. Rollen befinner sig i ett sammanhang där höga krav ställs på säkerhet, robusthet och tillförlitlighet, och där erfarenhet från exempelvis försvarsrelaterade IT- eller kommunikationssystem, myndighetsnära verksamhet eller andra komplexa organisationer kan ge värdefull förståelse för uppdraget. Det är också en miljö där teknisk bredd och en vilja att utvecklas uppskattas. Du kommer att vara anställd som konsult hos oss på Infuse Talent, och jobba på plats hos vår kund i centrala Stockholm med tanken att du på sikt ges möjlighet att fortsätta din karriär hos dem. Om kunden Kunden är ett nordiskt företag som utvecklar tekniska lösningar till försvarsindustrin, och som befinner sig i en kraftig tillväxtfas. Inom verksamheten finns seniora specialister som kommer att kunna stötta dig i ditt arbete och goda utvecklingsmöjligheter för den som ser signalbehandling, maskininlärning och sensorik som en spännande inriktning. Mer information om kunden kommer kunna ges längre fram i processen. Vem är du? Vi tror att du: har utbildningsbakgrund inom teknisk fysik, teknisk matematik, elektroteknik eller liknande har läst kurser inom signalbehandling och gärna arbetat med ljudanalys eller annan sensordata har förståelse för klassisk maskininlärning, till exempel klassificering, detektion eller feature-baserade modeller har god programmeringsförmåga i Python kan se sambandet mellan sensor, signal, feature extraction, modell och resultat Vi ser gärna att du är driven, samarbetsorienterad och nyfiken, med ett öppet sinnelag och förmåga att ta dig an nya frågeställningar på ett lösningsfokuserat sätt. Vidare förutsätter tjänsten svenskt medborgarskap då arbetet kan innebära kontakt med försvarssekretess, samt även god kommunikationsförmåga på både svenska och engelska. Om oss Vi på Infuse Talent är specialister inom talent management med ett fokus på en sak – att hjälpa talanger i början av sin karriär att nå sina drömjobb, samtidigt som vi säkerställer att våra kunder får tillgång till nästa generations specialister och ledare inom tech. Låter det intressant? Skicka in din intresseanmälan redan idag! Vi går igenom ansökningarna löpande.

Why Lovable? Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started. We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world. Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software. What this role is and what it isn’t It is a senior are lead role with scope. You’ll run an organization that spans product, platform, and applied AI - with other managers, senior engineers, and AI agents reporting in - and you’ll be accountable for what that organization ships, how it operates, and the business outcomes it drives. It is still close enough to the work that you can drop into a Tech Lead role on a hard problem when the situation demands it. We don’t measure leadership IC time as a percentage. We measure it as the ability to pick up the work and ship at the bar you’re asking of your team. It isn’t a role for managers who think of themselves as engineering-adjacent. You need to be credible in code, design, and on-call - and you need to want to be. It isn’t a role for leaders who only think about engineering. We expect you to reason end-to-end about the business - economics, product, GTM, customers - and to make calls that are best for the company, not just best for your team. What we’re looking for 15+ years of engineering experience, including 6+ years of people management at a pre-IPO startup, scale-up or frontier tech company, and at least 2 years of managing managers. Strong IC track record before management. You’ve run an engineering organization of 30+ with managers and senior engineers reporting in. You can speak concretely about how you structured the org, how you hired up to that scale, and what you’d do differently. Still hands-on at the Tech Lead level: you can pick up an unfamiliar codebase, design and ship a non-trivial change, run an incident, and review code at a high bar. You haven’t let your engineering muscle atrophy. You’ve thought hard about humans and AI agents on the same team. What humans should and shouldn’t delegate. How productivity gets measured when the unit of work is shifting. Strong opinions, lightly held. Comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. You write the doc that aligns three teams instead of waiting for someone else to. Deep technical credibility in at least one area - full-stack product (React/TypeScript + Go/Rust), platform and developer experience (Kubernetes, sandboxing, observability, CI/CD, application frameworks), or applied AI (training, evals, agent systems, model serving). Cross-functional to your core and business-fluent: you work seamlessly across design, product, and go-to-market, and know how to bring people along with you; andable to reason end-to-end about unit economics, product strategy, GTM, and customer outcomes Track record of building and growing teams: you’ve hired senior engineers others wanted to work with, grown managers under you who became great in their own right, and set up career growth and performance practices that didn’t require constant maintenance. People follow you between companies. Based in Stockholm or London or ready to relocate — this is an on-site, 5-days-a-week role. What you’ll do In one sentence: Run the engineering organization that builds Lovable - humans and agents both - and stay close enough to the work to be the senior engineer in the room when it matters. Lead engineering. Product, platform, and applied AI under one roof. Own the roadmap and the business outcomes the org is on the hook for. Set technical direction across the org: drive the design docs and architectural decisions that span teams, push back hard on weak plans (including your own), and hold a high bar for what ships. Shape engineering culture: how we ship, how we write code, how we hire, how we deploy agents. Set norms that outlast any single project. Ship fast: at Lovable the question is always “how fast can we get this to users?” You bias toward production and pull research, prototypes, and experiments into reality on the order of days and weeks, not quarters. Build the operating model for an engineering org where humans and AI agents work side by side. We’re inventing this in public, and you’ll set the patterns the rest of the company learns from. Operate as a peer to the executive team. Own outcomes that span beyond engineering, make the company’s biggest calls alongside the rest of leadership, and translate them back into engineering work that matters. Our tech stack We’re building with tools that both humans and AI love: Frontend: React, TypeScript Backend: Go and Rust Cloud: Cloudflare, GCP, AWS, many LLM providers Data: ClickHouse, Firestore, Spanner, BigQuery DevOps & tooling: Kubernetes, gVisor-based sandboxing for agentic workloads, GitHub Actions, Grafana, OpenTelemetry, Terraform Local tooling: Nix, DevEnv About your application Please submit your application in English — it’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally — if you’re interested, please apply through our careers portal. Ready to join us? Help us unlock human creativity and build the future of software creation.

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.

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.

Ta nästa steg inom Azure och data i en roll där du får möjlighet att påverka och utvecklas. Nu söker vi en Azure-dataingenjör som vill ta ett tekniskt ägarskap för vår data- och integrationsplattform. Här kombinerar du teknik med verksamhetsnära samarbete, egna initiativ och möjligheten att forma hur vi arbetar med data framåt. Vill du utveckla framtiden tillsammans med oss? Läs mer om oss på vår Karriärsida. Din roll som Azure Data Engineer Som Azure Data Engineer får du en viktig roll i att utveckla och ta ett tekniskt ansvar för vår data- och integrationsplattform. Du arbetar nära systemägare och andra delar av verksamheten för att förstå behov, hitta lösningar och driva utvecklingen framåt. Du blir också en viktig teknisk kontakt mot våra externa leverantörer. Vinnergi har vuxit snabbt och idag finns värdefull data om bland annat affär, projekt och ekonomi i våra olika system. Din uppgift blir att hjälpa oss knyta ihop den och skapa bättre förutsättningar för rapportering, automatisering, AI och välgrundade beslut. Vi har en etablerad Azure-miljö och en dataplattform i Microsoft Fabric som har byggts tillsammans med en extern leverantör. Ett av dina första uppdrag blir att tillsammans med leverantören ta över kunskap, dokumentation och operativt ansvar för plattformen. Därefter fortsätter du utveckla den med fler datakällor och integrationer. I det dagliga arbetet arbetar du med integrationer och dataflöden mellan våra verksamhetssystem, dataplattformen och Azure. Du arbetar även med datakvalitet, säkerhet och behörighetsstyrning och skapar arbetssätt för en stabil och långsiktig förvaltning. Du rapporterar till IT-chefen och blir en del av ett mindre IT-team där vi arbetar nära varandra och hjälps åt över kompetensgränserna. Här får du stort utrymme att påverka, ta egna initiativ och utveckla både din kompetens och ditt område. Vem är du? Vi söker dig som har en relevant högskole- eller universitetsutbildning inom IT och några års praktisk erfarenhet av Microsoft Azure. Du har arbetat med integrationer och dataflöden och är van vid att utveckla, felsöka och ta ansvar för lösningar i produktion. Du har förståelse för säkerhet, identitet och behörighetsstyrning i Azure. Har du erfarenhet av Microsoft Fabric, Infrastructure-as-Code, CI/CD, datamodellering eller AI-relaterade Azure-tjänster är det meriterande. Som person är du driven, nyfiken och gillar att få saker att hända. Du trivs i en verksamhetsnära roll med många kontaktytor, tar egna initiativ och vill utveckla både din kompetens och ditt område. Tjänsten är placerad på vårt kontor i Linköping, med viss möjlighet till arbete hemifrån. Vi tycker det är viktigt att du är en kulturbärare för Vinnergi och känner igen dig själv i våra värderingar H.E.R.O. Då rollen berör samhällsviktig verksamhet och säkerhetsklassad information, så kan det krävas att du godkänns i en säkerhetsprövning innan anställning kan genomföras. Urval och intervjuer kommer att ske löpande och tjänsten kan komma att tillsättas innan sista ansökningsdatum. Om Vinnergi Vi hjälper våra kunder att utveckla sina verksamheter inom telekom, energi, fastighet och industri. Enkelt uttryckt så gör vi vardagen inkopplad, påkopplad och uppkopplad. Läs mer om oss och lär känna oss som jobbar här eller spana in vår Linkedin. Vår värdegrund stavas H.E.R.O. – Happy, Explore, Ready och Open och är grunden i vår företagskultur. Förutom starkt fokus på värderingar, en platt organisation med hög påverkansgrad så är dessutom många av våra medarbetare delägare. Det gör oss till ett tryggt och nyskapande företag med engagerade medarbetare som utvecklas både i sin yrkesroll och som människor. Vi är övertygade om att teknisk innovation är lösningen för att bygga en hållbar framtid för kommande generationer. På Vinnergi arbetar vi i framtiden varje dag. Bli en av oss!

Vår kund brinner för att hjälpa företagare att lyckas genom innovativa lösningar. Här får du chansen att förvandla digitalt brus till värdefulla insikter och forma framtidens datadrivna landskap i en dynamisk miljö. Om tjänsten I rollen som Analytics Engineer hamnar du i navet mellan teknik och affär. Du ansvarar för att städa upp i det digitala bruset och bygga de broar som krävs för att förvandla rådata till insikter som verkligen räknas. Du erbjuds Möjlighet att forma det datadrivna landskapet: Du får en nyckelroll i navet mellan teknik och affär där du bygger datamodeller och pipelines (med verktyg som dbt) som förvandlar rådata till konkreta affärsinsikter. En innovativ och uppskattad arbetsmiljö: Du blir en del av ett engagerat team i en dynamisk miljö där din kunskap inom datamodellering värderas högt och där du uppmuntras att driva best practices. Rätta förutsättningar att växa: Du erbjuds en utvecklande konsultroll på heltid i Malmö med start ASAP, där du får stort eget ansvar att säkra datakvalitet och bygga broar mellan teknik och verksamhet. Arbetsuppgifter Rollen innebär att ansvara för datamodellering och arkitektur för att omvandla rådata till strukturerade insikter som stödjer affärsbeslut genom hela organisationen. Förvandla komplex rådata till smarta och strukturerade datamodeller Utveckla och optimera centrala dataflöden med dbt som huvudverktyg Säkerställa att data är tillförlitlig, jämförbar och av högsta kvalitet Agera brygga mellan Data Engineers och verksamhetens olika analytiker Driva och sätta standarder för best practices inom datamodellering Implementera gemensamma definitioner för att säkra datans affärsvärde Säkerställa att kärnmodellerna möter organisationens långsiktiga behov Vi söker dig som Erfarenhet av rollen som Analytics Engineer, BI-utvecklare eller liknande Avancerad kunskap i datamodellering med verktyg som dbt Förmåga att uttrycka dig obehindrat på svenska Erfarenhet av att arbeta självständigt i en snabbrörlig miljö Det är meriterande om du har Gedigna kunskaper i SQL Erfarenhet av BigQuery eller andra molnbaserade datalager Erfarenhet av BI-verktyg som Looker, Qlik, Power BI eller Tableau För att lyckas i rollen har du följande personliga egenskaper: Förändringsbenägen Hjälpsam Social Ordningsam Intellektuellt nyfiken Vår rekryteringsprocess Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work. Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.

Hitachi Energy is a global leader in electrification, powering a sustainable future with innovative grid technologies and digital solutions. We’re inspiring the next era of sustainable energy, making electricity more accessible to all and empowering societies to thrive. IVRS (Integration, Verification, Release and Support) is a department within Grid Integration Modular Advanced Control (GI MACH), working with securing the quality of the MACH platform, the brain of the HVDC station. We are responsible for verification of the MACH Platform towards high level requirements and for releasing the platform to our customers. IVRS is developing a robust CI/CD pipeline to revolutionize delivery of the MACH platform in an HVDC project. Join the GI MACH team to help build a next-generation data platform that unifies data from diverse sources, creating a single source of truth for code development, design, and manufacturing. As a DevOps Engineer, you’ll play a pivotal role in automating and scaling the infrastructure that powers this platform, with extra focus on our internal applications and tools. How You’ll Make an Impact Design, develop, and implement mission-critical tools and applications to support a scalable, high-performance, high-volume production environment with global users. Build and maintain CI/CD pipelines for C++ and C# development environments, leveraging tools like Azure DevOps, MS Build scripts, Python and build systems. Automate infrastructure and software processes using tools like Ansible or Terraform. Manage containerized environments using Docker or Podman including creating and testing Windows and Linux images. Implement full-stack monitoring and alerting systems using tools like Sensu, Splunk, Logstash or Nagios. Plan and execute software and infrastructure upgrades based on data-driven capacity planning. Manage configuration, variants, and version control using Git, TFVC, and release management tools like Jira. Streamline development experiences for teams by designing scalable CI/CD processes and optimizing workflows with containerization and virtualization. Collaborate with teams to support business needs and provide domain expertise for internal systems. Your background Bachelor’s Degree or higher in Engineering, Computer Science, or a related field. Expert skills in Linux, networking, storage, and virtualization. Proficiency in scripting languages such as Python. Shell and Golang beneficial. Strong understanding of CI/CD processes and experience designing pipelines using GitHub or GitLab. Familiarity with build systems (Makefiles, CMake) or Bazel and release management tools (e.g.: Git). Ability to manage software and infrastructure upgrades with a focus on scalability and performance. Experience setting up and supporting development environments for C++ and C#. Embedded system developer background beneficial. Strong English communication skills, Swedish is advantage. More About Us​ ​We believe great work thrives in an environment where people feel genuinely supported and fairly rewarded. Our benefits are designed to create real value for every individual – fueling engagement, performance, and growth. By prioritizing well‑being, we build a workplace where personal and organizational success grow together. ​ ​ Our benefits offering for our roles generally includes: ​ Collective agreement, occupational pension & possibility of salary exchange to pension (for ITP1 and ITP2) ​ Group life insurance and additional insurances. ​ Flex-time and shortening of working hours in time bank ​ Hybrid work & allowances for setting up a workplace at home (in agreement with line manager) ​ Health care and wellness allowance ​ Health insurance incl. dental, spectacles & contact lenses allowance (employee pay 140 sek/month via salary deduction) ​ Psychological support program ​ Supplementary compensation for parental leave ​ Various trainings and education supporting employee development ​ Internal career possibilities both within Sweden and globally ​ Employee Benefit Portal with thousands of discounts and perks ​ ​ The benefits listed above are an excerpt only and may vary depending on job grade, location and contract type. Eligibility is subject to local regulations. ​ ​ Applications will be reviewed on an ongoing basis, so we encourage you to submit your application already today. ​ Questions can be directed to Talent Acquisition Partner Gustaf Hedström, [email protected] Union representatives – Sveriges Ingenjörer: Nawzad Rashid, +46 (10) 7389148; Ledarna: Frank Hollstedt, +46 107 38 70 43; Unionen: Karin Ulvemark, +46 107 38 51 42​