Data Engineer

Rabot Energy; Hamburg; Hybrid; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

Rabot Energy, a forward-thinking provider of green energy solutions, seeks a passionate Data Engineer to build robust data pipelines and contribute to smart energy solutions. In this role, you'll collaborate with cross-functional teams, design data models, and enhance our cloud-native infrastructure.

Leistungen

Flexible working hours

Work from anywhere in the EU

Urban Sports Club membership

Free transport with Deutschland Ticket

Christmas Eve and New Year's Eve off

Qualifikationen

• Strong proficiency in SQL and Python for data processing.
• Hands-on experience with cloud data platforms (Azure, GCP, AWS).
• Experience with data orchestration frameworks such as Airflow.

Aufgaben

• Build, monitor, and maintain scalable ETL pipelines.
• Collaborate with data scientists and product managers for data accessibility.
• Improve data quality, consistency, and integrity across sources.

Kenntnisse

SQL

Python

Data Modeling

Data Quality Improvement

CI/CD practices

Data Governance

Agile Collaboration

Ausbildung

Degree in Computer Science or Data Engineering

Tools

PostgreSQL

MongoDB

Terraform

Azure

AWS

BigQuery

Jobbeschreibung

What can you bring

• Degree in Computer Science, Data Engineering, or a related technical field

• Strong proficiency in SQL and Python for data processing and transformation

• Solid experience with relational databases (e.g., PostgreSQL) and working knowledge of non-relational systems (e.g., MongoDB, Redis)

• Hands-on experience with cloud data platforms like Azure, GCP, or AWS

• Experience with data orchestration frameworks (e.g. Airflow, Dagster)

• Expertise in Infrastructure-as-code (e.g. Terraform)

• Experience with data modeling, cloud data warehouses (BigQuery), and ETL/ELT pipeline design

• Familiarity with data testing, version control, and CI/CD workflows

• A collaborative mindset and experience working in agile cross-functional teams

• Fluent in English (C1 level)

• Location: Be based OR be willing to relocate to Hamburg

Nice to Have

• Experience with Kubernetes (k8s) and Argo CD
• Experience with real-time data processing or streaming systems
• Exposure to reporting/visualization tools like Power BI, Looker, or Metabase
• Understanding of data governance, security, and compliance in data systems
• Domain experience with energy data, IoT, or EV charging behavior

Lacking experience in some of the areas mentioned? No need for concern – we are committed to providing you with the necessary support for learning, training, and on-the-job coaching

Our Benefits

• Enjoy flexible working hours and the freedom to work remotely,offering you a work-life balance that suits your lifestyle, even from the comfort of your home.
• We're committed to your growth.Benefitfrom comprehensive training, regular team meetings, and open, transparent communication to keep you informed and engaged.
• Maintain your physical well-being with anUrban Sports Club membershipthat offers you a world of fitness opportunities.
• Immerse yourself in a vibrant startup atmosphere, where a spirited team, exciting team events, and our 'Employees Recruit Employees' program await you – your path to rewarding success.
• Enjoyfree transport,courtesy of a Deutschland Ticket
• Celebrate the holidays with peace of mind, as you'll always have Christmas Eve and New Year's Eve off to make cherished memories.
• Workation:Enjoy two weeks of workation per year and work from anywhere in the EU.

For all our positions, we are open to providing flexible work arrangements to accommodate the unique needs ofeach individual.

Why us?

At Rabot Energy, we’re on a mission to empower people to use green energy more efficiently and affordably. As we scale, data plays a central role in making our systems smarter and our decisions sharper.

We're looking for a Data Engineer who is passionate about building robust data pipelines and infrastructure to help power the backbone of our energy intelligence. If you want to contribute to the transformation of the energy industry and grow in a collaborative, mission-driven environment — this is your opportunity.

Your Impact

• Build, monitor, and maintain scalable ETL pipelines and data workflows that power everything from internal dashboards to product features
• Design and implement data models that support advanced analytics and operational systems
• Collaborate closely with data scientists, analysts, and product managers to enable data accessibility and decision-making
• Improve and enforce data quality, consistency, and integrity across multiple sources
• Help scale our data platform to support real-time and batch processing as our business and data grow
• Contribute to our cloud-native infrastructure (Azure/GCP)
• Contribute to documentation, automation, and CI/CD practices for data engineering