Data Engineer: Build Trustworthy, Production-Ready Pipelines

ekona; Basel; Hybrid; CHF 110,000 - 150,000; Full time

Job summary

ekona is looking for data engineers to own data foundations end to end. You will build ELT pipelines with dbt and Airflow on Snowflake and other cloud platforms, turning messy master data into trusted models used by planning tools and AI agents.

You’ll profile, validate and reconcile data across ERP and PLM sources, implement data quality checks, and collaborate with enterprise data teams and domain experts to keep data accurate and ready for decision making.

Qualifications

• Several years of professional data engineering experience
• Experience building production ELT pipelines
• Strong SQL and Python skills
• Hands-on with dbt, Airflow and Snowflake or equivalents
• Solid data modeling and good engineering practices

Responsibilities

• Build pipelines that hold up using ELT with dbt/Airflow on Snowflake
• Profile, reconcile and ensure data quality across sources
• Work with ERP/PLM data like SAP and master data
• Support applications and AI with reliable data
• Ship code with version control, CI/CD and IaC
• Help shape data engineering playbook and tooling

Skills

SQL

Python

dbt

Airflow

Snowflake

Data modeling

Cloud platforms

Git workflows

CI/CD

Containers

Data quality

Stakeholder comms

English

German

Tools

Dagster

Prefect

Databricks

BigQuery

Job description

ekona is looking for data engineers to own data foundations end to end. You will build ELT pipelines with dbt and Airflow on Snowflake and other cloud platforms, turning messy master data into trusted models used by planning tools and AI agents.

You’ll profile, validate and reconcile data across ERP and PLM sources, implement data quality checks, and collaborate with enterprise data teams and domain experts to keep data accurate and ready for decision making.