# Senior Data Engineer (f/m/d) at adjoe

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, build and operate high-throughpu

- **Company:** adjoe (https://jobs.trythestack.co/companies/adjoe)
- **Location:** Hamburg, Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Apache Flink, Java, Python, Go, Kafka, dbt, Airflow, Kubernetes, AWS, Terraform, Kubeflow, Tensorflow, PyTorch, NVIDIA Triton, ETL, Data Lakehouse
- **Posted by employer:** 2026-05-26
- **Added to The Stack:** 2026-06-05
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/adjoe/5c1d70f8-e163-424f-b9af-91745beb1e06 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-engineer-fmd-adjoe

## About the role

Responsibilities:
- Design, build and operate high-throughput data pipelines (real-time and batch) to power feature stores and ML inference at scale.
- Implement stateful stream processing using Apache Flink and integrate with Kafka for low-latency feature computation.
- Ensure data quality, monitoring and lineage across ingestion, transformation (dbt) and serving layers.
- Optimize ETL performance, reduce latency and remove bottlenecks to keep models fresh for sub-100ms inference.
- Collaborate with Data Scientists and ML engineers to productionize features, enable reproducible workflows and support A/B experiments.

Requirements:
- 5+ years in data engineering building systems that handle multi-terabyte daily volumes and high event rates.
- Hands-on experience with Apache Flink (stateful stream processing), Kafka and real-time feature pipelines.
- Strong engineering skills in Java, Python or Go and familiarity with Airflow, dbt, Kubernetes and Terraform.
- Practical knowledge of cloud platforms (AWS) and data lakehouse concepts; focus on performance, reliability and observability.
- Experience debugging complex pipelines, enforcing data quality and collaborating across ML and infra teams.

## Responsibilities

Build and maintain high-performance data infrastructure, including Feature Stores and data pipelines, to support ML models at scale. Translate Data Science requirements into real-time streams and ensure data integrity and quality for advertiser ROI.

## Requirements

Requires 5+ years of data engineering experience with a modern stack, specifically focusing on Apache Flink for real-time processing and Java for development. Proven ability to handle multi-terabyte daily data volumes and design robust data architectures using dbt and Medallion Architecture.

## FAQ

- **Is this Senior Data Engineer (f/m/d) role still open?** It was posted on 2026-05-26. Listings more than 30 days old may no longer be active, so check adjoe's site before applying.
- **Does adjoe offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on adjoe's site.
- **Where is this role located?** The listing gives the location as Hamburg, Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Apache Flink, Java, Python, Go, Kafka, dbt, Airflow, Kubernetes, AWS, Terraform, Kubeflow, Tensorflow, PyTorch, NVIDIA Triton, ETL, Data Lakehouse.

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## Notes for agents

- Apply on the employer's page (https://jobs.ashbyhq.com/adjoe/5c1d70f8-e163-424f-b9af-91745beb1e06). The Stack does not take applications.
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