About us

As Switzerland’s leading digital hub, we provide our media and platforms with ideal framework conditions, support them through investments in technology, and create space for them to develop individually. We stand for interdisciplinary collaboration, innovation, and dynamic development.

We are on the move – and want to keep moving. We are farsighted. We are proactive. We are courageous. We are TX. TX Services is a part of TX Group.

About the job

You will be joining the Data & AI Foundation Team within the AI & Data department at Tamedia. We are a team of data engineers and tech experts who work together to turn raw data into reliable, actionable insights that power editorial, product, and marketing decisions across Tamedia's portfolio of brands.

We operate in a dynamic, cross-functional environment, collaborating closely with data scientists, product managers, and business stakeholders across multiple locations. We value technical rigor, intellectual curiosity, and a pragmatic mindset.

As a Senior Data Engineer, you will be a key technical pillar of the team: driving the evolution of our data platforms, including adoption of new technologies and best practices, mentoring junior engineers, and helping the business ask better questions about its data.

What would you do?

• Design, build, and maintain robust ETL/ELT pipelines in particular with the centralized data lakehouse and also supporting the DWH, using DBT and Argo Workflow, ensuring data is reliable, well-tested, and documented

• Evolve our AWS data lakehouse and DWH architecture and infrastructure (S3, Athena, Redshift), ensuring it meets modern and scalable standards

• Develop and optimize analytical data models that serve as the foundation for dashboards and analytics use cases for the entire company

• Ensure data quality, integrity, and performance across the data platforms

• Act as a technical lead on data initiatives: reviewing code, setting standards, and guiding junior colleagues

• Collaborate closely with data analysts and scientists to understand their needs and translate them into robust data infrastructure and models, supporting the analysis tasks.

• Critically assess incoming data requirements, challenge assumptions, identify the most meaningful metrics, and help stakeholders define what they actually need to measure

What should you bring?

Must-have

• 5+ years of experience in a data engineering or similar data-focused development role

• Strong, hands-on experience with DBT (models, tests, documentation, incremental strategies)

• Strong experience with AWS S3 and the broader AWS data ecosystem (Athena, Redshift, Glue or similar)

• Proficiency in Python for data processing and pipeline development

• Solid command of SQL, including complex transformations and performance tuning

• Excellent analytical thinking,questioning requirements, understanding the business context, and helping in translating business requirements

• Strong data intuition: capable of independently assessing whether a data model or metric makes sense, and proactively flagging issues

• Fluency in English

Nice to have

• Experience with workflow orchestration tools (e.g. Argo Workflow, Airflow, Matillion)

• Familiarity with data quality frameworks and testing practices

• Experience working in a media, publishing, or digital platform environment

• Higher education degree in a relevant field (computer science, statistics, engineering, or equivalent)

Our hiring process consists of 4 steps:

1. HR call

2. Team lead call: deep-dive into your data engineering experience and approach to problem-solving

3. Technical case: a practical exercise reflecting the kind of work you'd do on the team

4. Meet the team: get to know your future colleagues and ask any remaining questions

During the HR Call, we will cover everything that might be interesting for you, but also details on benefits, plans, and administrative things.

You can learn more about our perks and brands on our website.

A 3D office tour is available here.

We’re looking forward to your application!