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Data Engineer (m/f/d)


Type of position:

Years of experience:


Annual salary:




Data Engineer



German, English




IT Consulting

About the company

Our client is a people-focused company that empowers clients with customised and collaborative tech solutions. They love pursuing innovation alongside people who inspire them. Their approach to work and community is unique and unconventional—just like their team.

Their team of high achievers is looking for an eager learner who doesn’t shy away from hard work. They need someone whose overall data and programming savvy outweighs niche experience with a certain database platform. Whether you’ve worked primarily in SQL Server, Postgres or something else, all they really care about is that you have a strong understanding of building data pipelines and are ready to hit the ground running. It also wouldn’t hurt for you to be wicked smart and make one heck of a coworker, but we’re pretty sure you’ve got that covered already.

About the role

What You’ll Do
- Tackle diverse projects that range in duration from a few days to a few months for clients ranging from local businesses to the Fortune 500
- Work with disparate data sources (relational databases, flat files, Excel, HDFS/Big Data systems, high-performance analytical databases, etc.) to unify client data
- Collaborate closely with users to understand their unique needs and support them with the best solutions
- Solve data-acquisition, integration and management problems
- Create ETL processes based on client needs while managing client expectations


- Excellent SQL fluency
- Programming (Python, Java, C#, PHP, etc.)
- Strong ETL proficiency using GUI-based tools or code-based patterns
- Understanding of data-modelling principles
- Excellent verbal and written communication
- Business acumen
- Strong problem-solving skills
- Adaptability and flexibility in changing situations
- Passion for delivering compelling solutions that exceed client expectations
- Fluent German (C1) and English

Bonus Points
- Experience with software engineering practices
- Experience with modern data-engineering practices and frameworks
- Experience with integration from API sources
- Matillion, Fivetran, Airflow, DBT or other ETL tools
- AWS / Microsoft Azure
- Snowflake / Amazon Redshift / Google BigQuery / Azure Synapse