Senior Data Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation; Frankfurt; Hybrid; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

A recruitment firm seeks a Senior Data Engineer in Germany to build scalable data pipelines and support AI/ML initiatives. The ideal candidate will have over 3 years of experience, strong knowledge of Databricks, and cloud platforms, particularly Azure. This role offers a competitive salary, performance bonuses, and a hybrid work model with an international team.

Leistungen

Competitive salary package + performance bonus

Hybrid work model

Professional development budget & certifications

International, diverse, and collaborative work environment

Qualifikationen

• 3+ years of professional experience as a Data Engineer, preferably in a cloud environment.
• Strong knowledge of cloud platforms with preference for Azure.
• Fluent in English; German proficiency is a strong plus.

Aufgaben

• Design, develop, and maintain ETL / ELT pipelines on Databricks.
• Collaborate with Data Scientists to operationalize machine learning models in production.
• Optimize data workflows for performance, scalability, and cost efficiency.

Kenntnisse

Data Engineering

Databricks (PySpark, SQL, Delta Lake)

Cloud Platforms (Azure, AWS, GCP)

Python Programming

Machine Learning Integration

Data Governance

APIs & Automation

CI/CD and DevOps Practices

Ausbildung

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Tools

MLflow

Power BI

Tableau

Jobbeschreibung

Overview

Job Title: Senior Data Engineer – Databricks & AI

Location: Germany (Hybrid: Berlin / Munich / Remote within Germany)

Employment Type: Full-time, Permanent

About the Role

We are looking for an experienced Data Engineer to join our client’s growing Data & AI team. The successful candidate will be responsible for building and optimizing scalable data pipelines, enabling advanced analytics, and supporting AI / ML initiatives. You will play a key role in shaping the data infrastructure and ensuring smooth collaboration with data scientists, analysts, and business stakeholders.

Responsibilities

• Design, develop, and maintain ETL / ELT pipelines on Databricks (PySpark, Delta Lake, SQL).
• Collaborate with Data Scientists to operationalize machine learning models in production.
• Optimize data workflows for performance, scalability, and cost efficiency.
• Work closely with cross-functional teams to define data governance, quality, and security standards.
• Integrate multiple structured and unstructured data sources into a unified lakehouse architecture.
• Support AI / ML model deployment and monitoring.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 3+ years of professional experience as a Data Engineer (preferably in a cloud environment).
• Hands-on experience with Databricks (PySpark, SQL, Delta Lake).
• Strong knowledge of cloud platforms (Azure, AWS, or GCP; Azure preferred).
• Proven experience with AI / ML pipelines and integrating ML models into production.
• Solid programming skills in Python and experience with APIs & automation.
• Familiarity with data governance, CI / CD, and DevOps practices.
• Fluent in English; German proficiency is a strong plus.

Nice to Have

• Experience with MLflow, Feature Stores, and MLOps practices.
• Knowledge of BI tools (Power BI, Tableau).
• Prior experience in financial services, manufacturing, or e-commerce domains.

Benefits

• Competitive salary package + performance bonus.
• Hybrid work model (office presence in Berlin or Munich, flexible remote options).
• Cutting-edge projects in Data, AI, and Cloud.
• Professional development budget & certifications.
• International, diverse, and collaborative work environment.