Senior Data Engineer

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

Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.

• 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

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

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

• Structured, pragmatic, and solution-oriented mindset
• Excellent communication skills in English; German is a plus

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

Interview Process

The interview process will include technical discussions focused on AWS data engineering, pipeline design, and architecture, along with conversations to assess problem-solving skills and collaboration within cross-functional teams.