Volver

Full Stack Engineer, Data Orchestration

CompraTica Empleos

EMP:Technology
Europe
Tiempo Completo
Remoto
0 vistas

Descripción

Acerca de

KestraKestra 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 RoleWe'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 DoBuild 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 ForHands-on data engineering experience - you've built or operated data pipelines yourself, with tools like dbt.

¿Te interesa? Aplicá ahora