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Berlin, BE, Germany
Live, first seen by us 6 days agoFor 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). In addition, FLINK offers the following benefits:Read the full posting
Work setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s posting
Monitor critical data with quality checks, alerting and an on-duty rotation
Evolve Data Platform infrastructure as code on GCP with Terraform
Build AI tooling that lets other teams use the Data Platform self-serve
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)
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
3+ years of experience in a Data Engineering or data-centric Software Engineering role (more for senior level)
Strong Python and SQL skills, especially in the context of building data pipelines and interacting with REST APIs, (non-)relational databases etc.
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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 6
Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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
- 3+ years of experience in a Data Engineering or data-centric Software Engineering role (more for senior level) - Strong Python and SQL skills, especially in the context of building data pipelines and interacting with REST APIs, (non-)relational databases etc. - Hands-on experience with Apache Airflow for orchestrating data workloads
- 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
- 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
- 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 - You use AI coding tools (e.g. Claude Code, Codex) in your daily work and are excited to push how AI changes data engineering
If you want to be part of this exciting journey… read on! In your role as Data Engineer (m/f/d), you will play a key role in building and enhancing the Data Platform & ML Platform of Flink. You will find yourself in a modern Data Engineering environment, working in the central Data Platform team, using state-of-the-art technologies hosted on Google Cloud Platform.
- Strong Python and SQL skills, especially in the context of building data pipelines and interacting with REST APIs, (non-)relational databases etc. - 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
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Yes. We’ve followed one other Data Engineer job there since October 2026. It came down after 0 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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).
In addition, FLINK offers the following benefits:
It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.
We are Flink - your online supermarket revolutionising the way you do your grocery shopping. With a wide selection of over 2,400 high-quality products, we aim to deliver to your door in minutes. We put our customers first and ensure all products delivered are fresh and nutritious. Additionally, we can customise our national assortment to be able to offer you unique local products in every city. Our delivery hubs are located in densely populated inner-city locations and we strive to be sustainable by delivering on electric bikes and using packaging that can be recycled.
Founded by experienced e-commerce professionals and seasoned entrepreneurs with exceptional track records, backed by some of the most renowned Global investors, we are growing rapidly and have a great hunger to continuously challenge ourselves. We pride ourselves in being an inclusive and equal opportunities employer with a diverse and multicultural team.
If you want to be part of this exciting journey… read on!
In your role as Data Engineer (m/f/d), you will play a key role in building and enhancing the Data Platform & ML Platform of Flink. You will find yourself in a modern Data Engineering environment, working in the central Data Platform team, using state-of-the-art technologies hosted on Google Cloud Platform.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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). In addition, FLINK offers the following benefits:
Berlin, BE, Germany
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.