Data Engineer / C1 German / Remote

Location: Berlin / Hybrid

Type: Full-time | Permanent

The Role

We are building a modern, cloud-based data platform to process and analyse large-scale data across multiple domains. As a Data Engineer , you will play a key role in designing and evolving a scalable data architecture, enabling real-time insights and high-performance analytics.

You will work across the full data lifecycle, from ingestion and transformation to modelling and reporting, while collaborating closely with engineering and business teams.

Your Responsibilities

• Design and develop a modern data lake architecture using cloud technologies (e.g. object storage, query engines, table formats)
• Build scalable ETL/ELT pipelines using tools such as Airflow, dbt, and distributed processing frameworks
• Process both real-time event streams and structured datasets within a layered data architecture
• Develop and maintain analytics and event tracking systems to capture platform usage, performance, and business metrics
• Implement data quality frameworks and validation processes to ensure reliability and consistency
• Work closely with cross-functional teams to deliver data-driven insights and reporting
• Optimise data storage, query performance, and cost efficiency
• Automate workflows and infrastructure using Infrastructure as Code (IaC)

Your Profile

• Degree in Computer Science or a related field, or equivalent practical experience
• 3–4+ years of experience in data engineering or related roles
• Strong experience with Python and data processing libraries
• Hands‑on experience with cloud platforms , ideally AWS or similar environments
• Experience with workflow orchestration tools (e.g. Airflow or comparable)
• Familiarity with message queues and event-driven systems
• Experience working with columnar data formats (e.g. Parquet) and modern table formats
• Knowledge of data modelling, partitioning strategies, and performance optimisation
• Experience with transformation tools such as dbt or Spark is beneficial
• Exposure to data visualisation tools is a plus
• Strong communication skills and ability to work across technical and non-technical teams
• High level of ownership, self‑organisation, and independence
• Proactive mindset with a focus on delivering high-quality solutions
• Interest in AI-driven systems and willingness to contribute to their development

What’s on Offer

• Flexible hybrid working model with a high degree of autonomy
• Modern office in a central Berlin location
• Structured onboarding and continuous learning opportunities
• Dedicated development programmes and regular growth discussions
• Comprehensive benefits including health support, wellbeing initiatives, and mobility options
• Collaborative, supportive culture focused on sustainable growth