Staff Software Engineer, Data Lakes

Confirmed live in the last 24 hours

Fivetran

Remote, Germany, EMEA

Remote

Posted April 2, 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, A