Job
In this role, you will develop data pipelines, optimize data quality, and ingest data into BigQuery while working with cloud platforms and Python to enhance business efficiency.
Job technologies
Your role in the team
- Work closely with other Data Engineers, Data Scientists, Analysts, Product Managers and Operations professionals to build and run the data products and pipelines that contribute to the efficiency of the business.
- Build and evolve the services and pipelines that ingest, transform and process data from internal and external systems (batch and streaming) into BigQuery, using Python, Airflow, dbt and Pub/Sub.
- Contribute to a robust data quality and observability framework over our data products, and help keep critical data complete and reliable through monitoring, alerting and an on-duty rotation.
- Evolve our Data Platform infrastructure as code (Terraform on GCP), including access control, cost-efficient BigQuery design and GDPR compliance.
- Use and build AI tooling (AI coding agents, skills, MCP servers) that speeds up our own work and enables other teams to use the Data Platform self-serve.
Our expectations of you
Qualifications
- Strong Python and SQL skills, especially in the context of building data pipelines and interacting with REST APIs, (non-)relational databases etc.
- You use AI coding tools (e.g. Claude Code, Codex) in your daily work and are excited to push how AI changes data engineering.
- Passionate problem solver, able to think independently and proactively to find solutions.
- Very good communication skills in English (spoken & written).
Experience
- 3+ years of experience in a Data Engineering or data-centric Software Engineering role (more for senior level).
- Hands-on experience with Apache Airflow for orchestrating data workloads.
- Hands-on experience with (Google) Cloud Platform data solutions and services, such as BigQuery, Pub/Sub and Cloud Storage.
- Experience with CI/CD and Infrastructure as Code (Terraform or Config Connector); dbt, Kubernetes and streaming are a plus.
What we offer
- For this role as Data Engineer (m/f/d), the starting remuneration is as follows: The base pay for this position is 62,000.00 - 75,000.00 EUR gross for full time (40 hours per week).
Topics you will work on
Job locations
About your employer
flink is a project management tool, developed by MAP Consulting & Solutions GmbH. It helps companies transition into a successful digital future. With over 10 years of experience as consultants, developers and entrepreneurs, the company is well-equipped to help you succeed.
- 1-49 Employees
- 2015
- Startup
- Hybrid, Onsite
- Internet, IT, Telecommunication
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