Freelance Data Engineer - Energy Sector

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

Zusammenfassung

A leading consultancy in the energy sector is seeking a Freelance Data Engineer with expertise in ETL pipelines. You will design and maintain pipelines for high-volume data, optimizing workflows and ensuring data quality. The role offers flexibility with a hybrid work model and requires legal eligibility to work in Germany. Applicants should possess strong programming skills and hands-on experience with data processing frameworks.

Qualifikationen

• Strong hands-on ETL experience with a proven track record.
• Experience with data lakes and warehouses like Snowflake or Redshift.
• Understanding of data governance and regulatory reporting.

Aufgaben

• Design and maintain ETL pipelines for high-volume energy data.
• Optimize workflows for scalability and reliability.
• Collaborate with teams to provide well-structured data.

Kenntnisse

ETL experience

Python programming

SQL programming

Data processing frameworks

Cloud platforms

Tools

Airflow

Spark

Kafka

Docker

Kubernetes

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”