Join our client's team in Germany as a Senior Data Engineer to design, build, and operate a robust corporate data lake and contribute to the evolution of a future AWS-based data warehouse.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
About Us
At Dabster, we specialize in connecting top talent with leading global organizations. We are currently seeking an experienced Senior Data Engineer to join our client’s team in Germany (Remote). Our mission is to be a trusted recruitment partner, delivering high-impact professionals across cutting-edge technology and data-driven domains.
Who Will You Work With
Our client is a well-established global organization within the automotive domain, focused on building scalable, cloud-native data platforms that enable advanced analytics and innovation. You will collaborate closely with data scientists, analytics teams, and platform engineers to shape and evolve a modern enterprise data ecosystem.
About the Role
As a Senior Data Engineer, you will play a critical role in designing, building, and operating a robust corporate data lake and contributing to the evolution of a future AWS-based data warehouse. You will be responsible for creating scalable batch and streaming data pipelines, optimizing data architectures, and ensuring high standards of data quality, reliability, and performance. This role is ideal for a seasoned data engineer passionate about cloud technologies and analytics at scale.
Key Responsibilities
- Design and implement production-grade data solutions tailored to the automotive domain
- Enhance and maintain the existing enterprise data lake and contribute to future AWS data warehouse architecture
- Build and operate batch and streaming data pipelines on AWS
- Review, optimize, and monitor ETL processes with a strong focus on data quality and consistency
- Translate business requirements into efficient relational and dimensional data models
- Partner closely with data scientists to deliver scalable, end-to-end analytics solutions
- Apply software engineering best practices across development, testing, and deployment
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Preferred Skills & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or equivalent experience
- Strong programming expertise in Python with a solid understanding of software architecture
- 5+ years of hands-on experience delivering data engineering solutions in an AWS environment
- Strong experience with Apache Spark (batch & streaming), AWS Glue, Kinesis (Streams & Firehose), Athena, Lambda, and RDS
- Advanced SQL skills and experience with dimensional data modeling for data warehouses
- Familiarity with GitLab CI/CD, Docker; exposure to Apache Iceberg, Terraform, or Django is a plus
- Strong understanding of clean code, version control, code reviews, testing, and automation
- Structured, pragmatic, and solution-oriented mindset
- Excellent communication skills in English; German is a plus
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What We Offer
- Friendly, collaborative, and international work environment
- Competitive salary package
- Flexible working model with remote work options
- Company benefits including relocation support (if applicable), flexible working hours, professional development & training programs, and additional vacation benefits
How to apply:
Apply by submitting your resume today, showcasing you relevant experience and passion for the position via LinkedIn Easy Apply or directly to gagana.c@dabster.net.
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