# Full Stack Engineer, Data Orchestration - Company: [Kestra]() - Location: Europe - Remote: Yes - Team: Engineering - Employment type: Full Time - Posted: August 7, 2026 ## Job description ### 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. ## Apply [Apply on Kestra]() Canonical job page: