Data Engineer - Basel

pFor engineers who make data trustworthy, and make it move. /p pAt bekona /b, we build production-grade AI systems for clients in multiple industries including blife sciences /b, bsupply chain /b, bconsumer goods /b and bfinance /b. Every planning tool, forecasting engine and AI agent we ship depends on data that has to be right. That data starts as messy master data, ERP extracts, product hierarchies and documents. We turn it into models people trust and decisions they can defend. /p pWe're looking for data engineers who own that foundation end to end. You don't wait for a perfect spec of the source systems. You dig into the data, find whats broken, fix it, and make sure it stays fixed. And you can sit with a clients data team and their domain experts and speak both languages. /p pIf that sounds like you, keep reading. /p h3What You\'ll Do /h3 pbBuild pipelines that hold up. /b Design and run ELT pipelines with dbt and Airflow on Snowflake and other cloud data platforms. Model data into clean, documented, tested marts that applications and AI agents can rely on. /p pbMake data trustworthy. /b Profile and reconcile data across sources and environments. Build data-quality checks into the pipeline, so problems surface before a planner or an agent sees them. /p pbWork with real enterprise sources. /b ERP and PLM systems such as SAP, master data, product hierarchies and bills of materials, plus the spreadsheets and documents nobody planned for. /p pbFeed applications and AI. /b Work alongside our AI and software engineers so data lands where it is needed: planning and simulation tools, forecasting models, knowledge graphs and retrieval systems. /p pbShip like a software engineer. /b Version control, code review, CI/CD, infrastructure as code, and changes promoted properly from dev to production. /p pbShape how we work. /b Help build our data engineering playbook, templates and tooling. bYour ideas will be heard. /b /p h3What We\'re Looking For /h3 pHow you think about data matters more than any single tool. You\'ll likely be a fit if you have: /p ul libSeveral years of professional data engineering experience /b, with pipelines running in production /li libStrong SQL and Python /b /li libHands-on experience with dbt, Airflow and Snowflake /b, or close equivalents such as Dagster, Prefect, Databricks or BigQuery /li libSolid data modeling /b, and the judgment to keep models simple /li libGood engineering habits /b: at least one major cloud platform (GCP, Azure or AWS), Git workflows, CI/CD and containers. Terraform is a plus /li libA data-quality mindset /b: testing, reconciliation and lineage are part of the job, not an afterthought /li libThe ability to talk to non-technical stakeholders /b and turn their questions into data that answers them /li libVery good English /b, spoken and written. German is a plus /li /ul pbNice to have: /b SAP data (S/4HANA, material master, BOM, PLM); Databricks; graph databases such as Neo4j; data for ML and LLM applications (feature pipelines, embeddings, RAG); experience in consumer goods, life sciences, supply chain or finance; regulated environments. /p h3Why ekona /h3 ul libYour data powers things people use. /b Planning tools, forecasting engines and AI agents in production, not reports nobody opens. /li libEngineering quality actually matters. /b Our clients feel the difference, and so will you. /li libReal projects, regulated industries. /b The work has weight. /li libSmall team, high bar. /b Autonomy, trust and direct influence on where we go next. /li /ul h3Is This You? /h3 pIf you would rather receive a perfectly specified ticket and never meet the people who use the data, this probably isn\'t the right place. /p pIf you like getting to the bottom of messy data and building pipelines that make it trustworthy, it probably is. /p h3Why ekona /h3 ul libYour data powers things people use. /b Planning tools, forecasting engines and AI agents in production, not reports nobody opens. /li libEngineering quality actually matters. /b Our clients feel the difference, and so will you. /li libReal projects, regulated industries. /b The work has weight. /li libSmall team, high bar. /b Autonomy, trust and direct influence on where we go next. /li /ul h3Is This You? /h3 pIf you would rather receive a perfectly specified ticket and never meet the people who use the data, this probably isn\'t the right place. /p pIf you like going to the bottom of messy data and building pipelines that make it trustworthy, it probably is. /p h3Video Introduction /h3 pbOptional /b, but it's the best way for us to get to know you. /p pA b2-3 minute video /b. This is your chance to be real with us. /p pA few things that tell us a lot: /p ul liA problem you chased down because you couldn't let it go. What kept you at it, what you tried, what you built. /li liSomething you're obsessed with right now. Doesn't have to be work. Just something that's alive for you. /li liAnything else that shows us who you are at your best. /li /ul pWe\'re looking for people who figure things out, stay curious, and build things that actually work. Show us that person. /p pVideo Introduction URL (optional) /p pShare a link to your 2-3 minute video introduction (YouTube, Vimeo, or other platforms). /p #J-18808-Ljbffr