Freelance Data Engineer - Energy Sector

AI Futures; Stuttgart; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading talent acquisition firm seeks a Freelance Data Engineer with extensive ETL experience to support projects in the energy sector. The role involves designing and optimizing data pipelines, collaborating with teams on data delivery, and utilizing cloud platforms. This position is hybrid, requiring some on-site collaboration in Stuttgart, Germany. Excellent English communication skills are required; German proficiency is a plus.

Qualifikationen

• Strong hands-on ETL experience.
• Proficient in Python and SQL.
• Experience with data processing frameworks.

Aufgaben

• Design, build, and maintain ETL pipelines.
• Optimize data workflows for performance.
• Collaborate with analysts and data scientists.

Kenntnisse

Data Engineering

ETL Pipeline Design

Python

SQL

Cloud Platforms (AWS, Azure, GCP)

Data Processing Frameworks (Airflow, Spark, Kafka)

Tools

Docker

Kubernetes

Snowflake

Jobbeschreibung

Overview

Freelance Data Engineer (ETL Focus) – Energy Sector – 12 Month Contract

We are supporting a major organisation in the energy sector as they expand their data and analytics capabilities. To deliver key projects in energy trading, grid management, and regulatory reporting, we are seeking a Freelance Data Engineer with strong expertise in designing and optimising ETL pipelines.

Responsibilities

• Design, build, and maintain ETL pipelines to ingest, transform, and deliver high-volume energy data (market prices, IoT / sensor feeds, grid telemetry, sustainability metrics, etc.).
• Optimise data workflows for performance, scalability, and reliability across both batch and streaming environments.
• Implement data validation, monitoring, and quality frameworks to ensure consistency and compliance.
• Collaborate with analysts, data scientists, and trading teams to deliver well-structured data for advanced analytics and reporting.
• Integrate data from a variety of internal and external sources (market feeds, SCADA systems, ERP, CRM, regulatory datasets).
• Support deployment and automation using CI / CD pipelines, containerisation (Docker), and orchestration (Kubernetes).

Qualifications

• Solid track record as a Data Engineer, with strong hands-on ETL experience.
• Strong programming skills in Python and SQL; knowledge of Scala / Java is a plus.
• Experience with ETL and data processing frameworks (e.g., Airflow, Spark, Kafka).
• Proficiency with data lakes / warehouses (Snowflake, Delta Lake, Redshift, BigQuery, etc.).
• Understanding of data governance, quality standards, and regulatory reporting in energy markets or other regulated industries.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Excellent communication skills in English; German language skills are advantageous.

Project Details

• Location : Germany (hybrid — regular on-site collaboration, e.g. a few days per month).
• Contract Length : Initial 12 months, with potential for extension.
• Engagement : Full-time freelance (~40 hrs / week) with flexibility.
• Eligibility : Must be legally eligible to work in Germany. as a freelancer

How to Apply

If you are interested, please click apply or send your CV to [e-mail] with the subject line : “Freelance Data Engineer (ETL) Application – Energy Sector – Germany”