Senior Data Engineer

Das ist der Job

This position is listed on behalf of a partner company, who manages all applications and next steps.

Darum lohnt es sich

Working in a fully remote, high-growth environment, you will design scalable data platforms that support strategic decision-making across product, finance, and growth teams. This role offers the opportunity to build resilient, production-grade data systems while leveraging modern cloud technologies and AI-powered development tools.

Partner closely with product, finance, growth, and engineering teams to translate business questions into trusted data solutions. Requirements 5+ years of experience designing, building, and operating production-grade data pipelines and modern data platforms.

Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams. Benefits Fully remote position with the flexibility to work from anywhere. Technology allowance to build your ideal home office setup.

Annual company off-site events that bring together global team members for collaboration and networking. Opportunity to work with modern cloud technologies, large-scale data systems, and cutting-edge AI tools. Collaborative, international environment focused on innovation, ownership, and continuous growth.

The final decision and next steps (interviews, assessments) are managed by their internal team. These tools assist our recruitment team but do not replace human judgment. Our partner is looking for a Senior Data Engineer based in Germany.

As a Senior Data Engineer, you will own the complete data lifecycle, from ingestion and infrastructure to modeling, analytics, and business insights. You will collaborate closely with cross-functional stakeholders, solve complex data challenges at scale, and play a critical role in shaping a data-driven organization.

If you enjoy end-to-end ownership, continuous innovation, and building systems that can grow alongside the business, this is an excellent opportunity to make a lasting impact. Accountabilities Design, build, and maintain scalable data pipelines from source systems through data warehouses and analytics platforms.

Develop and optimize data ingestion workflows using cloud-native technologies, orchestration tools, and Python-based data loaders. Create and maintain reliable data models that enable accurate reporting, business intelligence, and self-service analytics.

Deliver actionable analyses that explain business performance and support strategic decision-making. Build data infrastructure with scalability, reliability, performance, and cost optimization as core design principles. Manage infrastructure as code to ensure consistent, automated deployment and maintenance of the data platform.

Leverage AI-powered development tools to improve engineering productivity while maintaining full ownership of production quality. Monitor, troubleshoot, and continuously improve data pipelines and platform performance. Stay current with emerging technologies and best practices in data engineering, cloud infrastructure, and artificial intelligence.

Strong expertise with cloud data technologies such as Google Cloud Platform, BigQuery, dbt, Airflow, Dataflow, or equivalent solutions. Experience with infrastructure as code using tools such as Pulumi or Terraform. Advanced SQL skills and proficiency in Python for data engineering and automation.

Experience working with analytics platforms and transforming complex datasets into business insights. Familiarity with AI-assisted development tools and an understanding of how to apply them responsibly within engineering workflows. Strong analytical thinking with the ability to identify root causes behind business metrics and performance changes.

Comfortable working independently in a fast-paced, remote-first environment with a high level of ownership. Passion for scalable data engineering, continuous learning, and building reliable systems that support business growth. Co-working space membership or allowance to support your preferred work environment.

Equity participation through an employee stock ownership program (ESOP). Comprehensive health insurance, including full employee coverage and substantial dependent coverage. Flexible, asynchronous work schedule that promotes autonomy and work-life balance.

Annual professional development budget for courses, conferences, books, and learning resources. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).

You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.