Data Engineer

Data Engineer at Jobgether scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.

Remote (Germany)midFull-time

AI in this role

Build and maintain scalable data infrastructure and pipelines to power machine learning and analytics initiatives in a remote environment.

sqlpythonsparkairflow

ml-opsdata-engineeringetlcloud-infrastructuremlops

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in Germany.

As a Data Engineer, you will play a key role in building and maintaining the data infrastructure that powers machine learning, analytics, and business initiatives.
You will design scalable batch and near-real-time pipelines capable of handling millions of data changes every day.
Your work will ensure data remains accurate, consistent, reliable, and readily available across the organization.
You will collaborate closely with data scientists, MLOps engineers, product owners, and BI analysts to translate business needs into robust data solutions.
The role combines hands-on engineering with opportunities to improve processes, architectures, integrations, and infrastructure scalability.
You will work in a remote-first environment with flexible working hours and a strong focus on autonomy and collaboration.
This is an opportunity to contribute to a rapidly growing, data-intensive environment while working with modern cloud and data technologies.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Ml OpsData EngineeringEtlCloud InfrastructureMlopsSqlPythonSpark

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Ml Ops, Data Engineering, Etl, Cloud Infrastructure, and Mlops. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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