Staff Data Engineer (m/f/d)

Jobgether; Remote; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A technology partner is seeking a highly skilled Staff Data Engineer in Germany. In this role, you will lead the design and implementation of ML pipelines, ensuring models are robust and scalable. Responsibilities include mentoring a small team of engineers and collaborating across departments to deliver ML solutions. The position offers a remote-first work model, development opportunities, and a dynamic international environment, making a tangible impact on ML-driven solutions.

Leistungen

Dynamic work environment

Learning and development budget

Remote-first model

Urban Sports Club membership

Career growth opportunities

Qualifikationen

• 6+ years of experience building and deploying end-to-end ML solutions.
• Proven ability to lead technical projects and guide engineers.
• Strong expertise in MLOps and distributed computing frameworks.

Aufgaben

• Lead the design, implementation, and operation of end-to-end ML pipelines.
• Build and manage feature stores and model-serving infrastructure.
• Collaborate with teams to translate requirements into scalable ML solutions.

Kenntnisse

MLOps

Distributed computing frameworks

Parallel ETL pipelines

Python programming

ML libraries (NumPy, Pandas, etc.)

Workflow orchestration (Airflow, Dagster)

Strong communication skills

Tools

PyTorch

scikit-learn

Pydantic

Cloud-based data processing

Jobbeschreibung

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer (m/f/d) in Germany.

We are seeking a highly skilled Staff Data Engineer to lead the design, development, and operational excellence of advanced machine learning systems. In this role, you will shape the technical vision for ML pipelines, ensuring that models are robust, scalable, and production-ready. You will lead a small team of engineers, providing technical guidance, mentorship, and fostering a collaborative environment. This role combines hands‑on expertise in data platforms, MLOps, and distributed computing with strategic oversight, making a tangible impact on the scalability and reliability of ML‑driven solutions. You will work in a dynamic, international environment that values innovation, experimentation, and continuous improvement.

Responsibilities

• Lead the design, implementation, and operation of end‑to‑end ML pipelines, including training, validation, deployment, and monitoring.
• Build and manage feature stores, model‑serving infrastructure, and drift detection frameworks.
• Design and operate parallel ETL/data pipelines that transform raw inputs into clean, production‑ready datasets with clear service level objectives.
• Ensure dataset reliability, lineage, and quality for production ML workflows.
• Set technical standards, review architecture and code, and mentor engineers across the team.
• Collaborate with Product, Data Science, and Engineering teams to translate requirements into scalable ML/data solutions.
• Drive operational excellence through monitoring, alerting, incident response, and cost/performance optimization.
• Lead and support a small engineering team, fostering growth, performance, and collaboration.

Requirements

• 6+ years of experience building and deploying end‑to‑end ML solutions, ideally in a SaaS environment.
• Proven ability to lead technical projects and guide engineers, including mentoring and team development experience.
• Strong expertise in MLOps, distributed computing frameworks, and parallel ETL pipelines.
• Advanced Python programming skills and experience with ML libraries (NumPy, Pandas, PyTorch, scikit‑learn, Pydantic).
• Hands‑on experience with workflow orchestration tools (Airflow, Dagster, Prefect) and cloud‑based data processing.
• Demonstrated track record of designing scalable, production‑ready ML systems.
• Preferred: experience with TensorBoard, large‑scale simulation or forecasting systems, and domain knowledge in retail/CPG data, pricing, or revenue management.
• Excellent communication and collaboration skills, with the ability to work in an international, dynamic team environment.

Benefits

• Dynamic and international work environment with opportunities for meaningful impact.
• Remote‑first work model with optional visits to headquarters in Cologne.
• Learning and development budget to enhance professional skills.
• Language lessons and personal development programs.
• Urban Sports Club membership and Deutschlandticket.
• Regular company events and career growth opportunities.

By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre‑contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.