Staff Software Engineer, Data Lakes

Fivetran
Remote, Germany, EMEAPosted 2 April 2026

Job Description

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We’re seeking a Staff Software Engineer to contribute to the technical architecture, design, and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization. This is a full-time remote position based out of Germany. Technologies You’ll Use Java, Postgres, Temporal, gRPC AWS, GCP, Azure, Istio, Kubernetes, Grafana Iceberg, Polaris, Delta Lake, Parquet, DuckDB What You’ll Do Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team and our SRE teams. Drive significant performance, latency, and availability improvements for our data lake services Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance. Investigate and resolve fault-tolerance and high availability issues as well as performance and scale challenges both inside and across service boundaries. Embrace Fivetran innovations with open-source standards and toolsets. Set technical directions and influence cross-functional teams. Skills We’re Looking For 5+ years of hands-on experience maintaining and operating high-performance containerized applications that span multiple services. Deep understanding of cloud infrastructure, deployment, service orchestration, software optimizations and performance engineering of highly distributed services. Proven track record of leading and delivering large and complicated projects. Strong development skills in Java. Experience running and debugging Kubernetes containerized services. Solid experience with public clouds (AWS, Azure, GCP). Growth mindset and excitement about breaking the status quo by seeking innovative solutions. Excellent team player who is consistent in making everyone around you better. Bonus Skills Hands-on experience with high-performance relational data management systems. Demonstrated knowledge of columnar storage formats. Strongly prefer an MS in Computer Science. #LI-IM1 #LI-Remote Perks and Benefits 100% employer-paid medical insurance * Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from ma ... (truncated, view full listing at source)
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