Full Stack Engineer, Data Orchestration

Department: Engineering

Location: Europe

Employment Type: FullTime

About Kestra

Kestra is the universal orchestration platform: open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems.

Trusted by over 10,000 organizations worldwide, including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole, Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars, hundreds of contributors, and a fast-growing global community.

The Role

We're looking for a Full Stack Engineer to build the features data teams use to orchestrate their pipelines with Kestra: data-aware orchestration, integrations with tools like dbt, Fivetran, Airbyte, Snowflake, BigQuery, and Databricks, and the UI where pipelines are built, run, and monitored. Hands-on data engineering experience is a must: you'll build for data engineers and analytics engineers, and you need to understand their workflows from your own practice. You'll work across our whole stack, from the Java/Micronaut backend to the Vue 3 + TypeScript frontend, and release features in 8-week cycles with minimal process.

What You'll Do

• Build features end to end - from the Java Micronaut backend (REST APIs, orchestration engine, plugins) to the Vue 3 frontend, including tests and documentation.

• Develop data-aware orchestration - assets, lineage, freshness, and data quality as part of the orchestration model.

• Build and improve plugins - integrations with dbt, Fivetran, Airbyte, cloud warehouses, and other tools of the modern data stack.

• Work on the UI data teams use daily - the flow editor (Monaco), topology views, dashboards, and execution monitoring.

• Collaborate with the Product Manager and other engineers to scope and deliver features for each 8-week release cycle.

• Review pull requests, discuss changes publicly on GitHub, and engage with the open-source community.

What We're Looking For

• Hands-on data engineering experience - you've built or operated data pipelines yourself, with tools like dbt, Fivetran or Airbyte, warehouses such as Snowflake, BigQuery, or Databricks, or an orchestrator such as Airflow, Dagster, or Prefect.

• Strong experience with Java and a modern backend framework - we use Micronaut, and experience with Spring Boot or Quarkus is a good fit.

• Solid frontend skills with Vue 3 and TypeScript - we also use Pinia, Vite, and the Monaco editor. Deep experience with React or another modern framework can work if you're willing to go deep on Vue.

• Good knowledge of SQL and relational databases - PostgreSQL, MySQL, and H2 are supported as Kestra backends.

• Understanding of distributed systems: queues, schedulers, and workers processing jobs reliably at scale.

• Comfortable with Docker and CI/CD pipelines.

• Excellent communication and clarity in writing - comfortable discussing technical decisions publicly in GitHub repositories.

• Full ownership mentality. You iterate quickly based on feedback and don't wait to be told what to do.

• Comfortable working with globally distributed teams across time zones.

Bonus Points

• Past experience working as a data engineer or analytics engineer, beyond building pipelines as a side task.

• Experience with Kafka or Elasticsearch (both are part of the Kestra Enterprise Edition backend).

• Experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure).

• Contributions to open-source projects.

• Experience in a B2B software or open-source company.

What You Get

• Real ownership in a globally distributed, technical team.

• Direct exposure to product strategy and company priorities.

• A product running mission-critical workloads in production at over 10,000 organizations.

• Competitive compensation, equity, and health insurance.