Data Engineer

• Designa, utveckla och vidareutveckla Capios moderna dataplattform
• Arbeta operativt med plattformens komponenter, integrationer, dataflöden och modeller
• Bidra till tekniska vägval, arkitekturprinciper och långsiktig utveckling
• Fungera som teknisk drivkraft i teamet
• Utveckla arbetssätt inom Data Engineering, DataOps och automatiserad leverans
• Samarbeta nära med verksamheten, externa dataleverantörer och andra teknikteam
• Säkerställa att dataplattformen är säker, skalbar och anpassad efter organisationens behov
• Bidra till optimerat resursutnyttjande och bättre operativ styrning
• Integrera och hantera data från medicintekniska system
• Utveckla datahantering och analysförmåga för forskning
• Skapa dataprodukter och analyslösningar som förenklar vardagen för vårdpersonal
• Säkerställa säker och tillgänglig data för beslutsstöd i organisationen

Team Lead Data Engineer

• Own and continuously improve Creditstar's data platform on AWS and Snowflake, keeping it reliable, performant, and scalable.
• Strengthen platform performance, security, secrets management, and observability across the data stack.
• Track and optimize Snowflake and AWS spend and lead FinOps practices within the data team.
• Advance data governance through data ownership, access and PII controls, data lineage, and audit readiness in line with GDPR and internal policies.
• Define and uphold engineering standards for testing, versioning, code reviews, CI/CD, and Git-based workflows.
• Own the integration layer connecting internal and third-party data sources.
• Lead responses to data platform incidents through durable fixes.
• Work with DevOps on underlying infrastructure by setting requirements and reviewing solutions.
• Support BI Engineers, Analysts, and Data Scientists with a governed, documented, self-serve platform.

Senior Data Platform Engineer

• Reshape data foundations, including multi-tenancy, retention, and data contracts with backend services
• Evaluate and shape the warehouse architecture, including Postgres, Snowflake, BigQuery, or other options
• Unify operational databases, Amplitude product analytics, and S3-based partner integrations
• Build platform observability for lineage, freshness, and meaningful alerting
• Own trustworthy reporting used by finance, operations, and the board
• Collaborate directly with backend, product, and finance teams
• Influence how data is produced upstream as well as consumed downstream
• Use AI for pipeline boilerplate, schema generation, transformation logic, and exploratory analysis
• Help rebuild and reshape the data platform from its foundations

Senior Data Engineer

• Utveckla och vidareutveckla skalbara dataplattformar och datapipelines
• Arbeta med både batch och realtidsdataflöden
• Samarbeta nära data engineers, AI engineers och plattformsteam
• Bidra till arkitektur, standarder och tekniska arbetssätt
• Agera mentor och dela kunskap inom teamet
• Omsätta avancerad teknik till verksamhetskritiska lösningar
• Utveckla dataplattformar för framtidens försvarsteknologi
• Arbeta med stora datamängder i komplexa och säkerhetskritiska miljöer

• Build a next-generation cloud data warehouse platform in GCP for fund and portfolio services
• Design and build scalable data integration solutions, data models, data structures, and data pipelines in GCP
• Onboard data and integrate data from multiple source systems
• Participate in requirements analysis, development, testing, deployment, and stakeholder collaboration
• Monitor, troubleshoot, and improve data platform and pipeline reliability and performance
• Develop data transformations, models, and automation using SQL, Python, and dbt
• Orchestrate and schedule workflows with Apache Airflow
• Contribute to DevOps practices, automation, operational excellence, and platform reliability
• Strengthen CI/CD pipelines and modern version control practices using GitLab and GitHub
• Mentor developers, perform code reviews, promote best practices, and contribute to architecture and design decisions

Senior GCP Data Engineer

• Utforma och bygga Fortnox nästa generations säkra dataplattform
• Vägleder arbetet från start till färdig produktionsmiljö
• Arbeta med Strimzi på Kubernetes, mTLS/SASL, ACL:er och Schema Registry
• Fatta arkitekturbeslut tillsammans med teamet
• Samarbeta nära med team som konsumerar och producerar data mot kluster
• Genomföra smidiga övergångar utan att påverka befintliga integrationer
• Fokusera på governance, auditering och övervakning
• Bygga stabila och skalbara lösningar för Fortnox dataplattform

Data Platform Engineer

• Transform SEB’s Finance & Risk Data Platform into a modern, scalable, audit-ready enterprise data warehouse
• Design and evolve the target enterprise data warehouse architecture for Finance and Risk data domains
• Model complex business data using scalable, maintainable patterns focused on Data Vault 2.0
• Design Hubs, Links, Satellites, Business Vault components, and downstream information marts
• Define standards for historization, auditability, lineage, metadata management, and data quality
• Build and optimize ELT processes using Google Cloud Platform technologies
• Integrate and harmonise data from more than 200 heterogeneous source systems with full source traceability
• Drive best practices in data modelling, warehouse design, and engineering excellence
• Mentor engineers and help build long-term data architecture
• Share responsibility for day-to-day data engineering while leading data modelling, architecture, governance, and engineering standards
• Collaborate with data engineers, architects, business stakeholders, and Finance and Risk specialists

Senior Data Engineer, Data Modeller – Finance & Risk Data Platform

• Design and build scalable data infrastructure for hundreds of gigabytes to terabytes of guest data
• Move, transform and make data available to the frontend application and machine learning and AI pipelines
• Design and build scalable data pipelines alongside Product and Engineering
• Build and deploy ingestion, transformation and storage pipelines at high scale
• Monitor data pipelines end to end
• Build tools and abstractions for analytics, recommendations and machine learning
• Develop data orchestration and streaming pipelines
• Create reusable data resources and design patterns in close collaboration with product teams
• Shape the data foundation for Bookboost’s hospitality engagement platform