Senior Data Engineer (f/m/d) at adjoe
May no longer be active — verify on the employer site
At a glance
- Company
- adjoe
- Location
- Hamburg, Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this adjoe job
- 🏢 adjoe has 15 jobs here, 15 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask adjoe if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- Apache Flink — in 3 other listings on The Stack
- Java — in 360 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Go — in 230 other listings on The Stack
- Kafka — in 173 other listings on The Stack
- dbt — in 102 other listings on The Stack
- Airflow — in 95 other listings on The Stack
- Kubernetes — in 585 other listings on The Stack
- AWS
- Terraform
- Kubeflow
- Tensorflow
- PyTorch
- NVIDIA Triton
- ETL
- Data Lakehouse
On The Stack (as of 2026-11-05)
Frequently asked questions about adjoe
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.