Data Engineer - AWS Data Lakehouse

About the role

Tamedia is looking for a Data Engineer to join its Data & AI Foundation Team within the AI & Data department. The team turns raw data into reliable, actionable insights that power editorial, product and marketing decisions across Tamedia's brands, working in a cross-functional environment with data scientists, product managers and business stakeholders. You will mainly maintain and expand the AWS data lakehouse infrastructure, build reliable pipelines and deliver clean analytical data models.

Key responsibilities

• Design, build and maintain robust ETL/ELT pipelines for the centralized data lakehouse using DBT and Argo Workflow, keeping data reliable, tested and documented.
• Support and optimise the AWS data lakehouse infrastructure (S3, Athena, Glue) for high data quality and modern operational standards.
• Develop and optimise analytical data models in the lakehouse that underpin dashboards and analytics use cases.
• Ensure data quality, integrity and performance across the lakehouse platform.
• Work with data analysts and scientists to turn their needs into robust data structures and pipeline models.
• Critically assess incoming data requirements, challenge assumptions, identify meaningful metrics and help stakeholders define what they need to measure.

Required profile

• 2+ years of experience in a data engineering or similar data-focused development role.
• Solid, hands-on experience with DBT (models, tests, documentation, incremental strategies).
• Experience with AWS S3 and the AWS data lakehouse ecosystem (Athena, Glue or similar).
• Fluency in English.
• Nice to have: experience with workflow orchestration tools (Argo Workflow, Airflow, Matillion), familiarity with data quality frameworks and testing practices, experience in a media, publishing or digital platform environment, and a higher education degree in a relevant field.

Required skills

• Python for data processing and pipeline development.
• Solid SQL, including complex transformations and query optimisation.
• Good analytical thinking and strong data intuition.

The hiring process has four steps: HR call, team lead call, technical case and meeting the team. Details on benefits and plans are available on the company website.