Data Engineer - Basel

ekona.ai; Basel; Presencial; CHF 120.000 - 180.000; Jornada completa

Descripción de la vacante

ekona is hiring data engineers in Basel, Switzerland, to build production-grade ELT pipelines and trustworthy data foundations. You will work with ERP/PLM data, SAP, and master data, partnering with AI and software engineers on planning and simulation tools.

You’ll implement robust data quality, version control and CI/CD practices, shaping our data engineering playbook as we go. This on-site role emphasizes real-world data problems in regulated industries.

Formación

• Several years of professional data engineering experience with pipelines in production.
• Strong SQL and Python skills.
• Hands-on experience with dbt, Airflow and Snowflake, or Dagster, Prefect, Databricks or BigQuery.
• Solid data modeling; keep models simple.
• Good engineering habits: at least one major cloud platform, Git workflows, CI/CD and containers; Terraform a plus.
• Data-quality mindset: testing, reconciliation and lineage.
• Ability to talk to non-technical stakeholders.
• Very good English; German a plus.

Responsabilidades

• Design and run ELT pipelines using dbt and Airflow on Snowflake and other cloud data platforms.
• Model data into clean, documented, tested marts for applications and AI agents.
• Profile and reconcile data across sources; build data-quality checks into pipelines.
• Work with ERP and PLM data such as SAP, master data, BOMs and related docs.
• Collaborate with AI and software engineers to land data in planning and simulation tools.
• Ship like a software engineer: version control, code review, CI/CD, IaC and promote changes to production.
• Shape how we work by contributing to our data engineering playbook, templates and tooling; your ideas will be heard.

Conocimientos

Data engineering

SQL

Python

dbt

Airflow

Snowflake

Data modeling

Cloud platforms

Git & CI/CD

Data quality

Herramientas

Dagster

Prefect

Databricks

BigQuery

Descripción del empleo

Basel, Switzerland · Full time · Permanent · On-site, with time at client sites

For engineers who make data trustworthy, and make it move.

At ekona, we build production-grade AI systems and applications for clients in life sciences, supply chain, consumer goods and finance. 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.

We'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 what's broken, fix it, and make sure it stays fixed. And you can sit with a client's data team and their domain experts and speak both languages.

If that sounds like you, keep reading.

What You'll Do

Build pipelines that hold up. 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.

Make data trustworthy. 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.

Work with real enterprise sources. ERP and PLM systems such as SAP, master data, product hierarchies and bills of materials, plus the spreadsheets and documents nobody planned for.

Feed applications and AI. 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.

Ship like a software engineer. Version control, code review, CI/CD, infrastructure as code, and changes promoted properly from dev to production.

Shape how we work. Help build our data engineering playbook, templates and tooling. Your ideas will be heard.

What We're Looking For

How you think about data matters more than any single tool. You'll likely be a fit if you have:

• Several years of professional data engineering experience, with pipelines running in production
• Strong SQL and Python
• Hands-on experience with dbt, Airflow and Snowflake, or close equivalents such as Dagster, Prefect, Databricks or BigQuery
• Solid data modeling, and the judgment to keep models simple
• Good engineering habits: at least one major cloud platform (GCP, Azure or AWS), Git workflows, CI/CD and containers. Terraform is a plus
• A data-quality mindset: testing, reconciliation and lineage are part of the job, not an afterthought
• The ability to talk to non-technical stakeholders and turn their questions into data that answers them
• Very good English, spoken and written. German is a plus

Nice to have: 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.

Why ekona

• Your data powers things people use. Planning tools, forecasting engines and AI agents in production, not reports nobody opens.
• Engineering quality actually matters. Our clients feel the difference, and so will you.
• Real projects, regulated industries. The work has weight.
• Small team, high bar. Autonomy, trust and direct influence on where we go next.
• No AI theater. No bureaucracy, no endless meetings, no demos dressed up as deliverables.

Is This You?

If you would rather receive a perfectly specified ticket and never meet the people who use the data, this probably isn't the right place.

If you like getting to the bottom of messy data and building pipelines that make it trustworthy, it probably is.