Kestra Technologies
Full Stack Engineer, Data Orchestration
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 7 weeks ago · Added yesterday
Been open since 7 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Europe
Timezone
CET ±2
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $160k–$250k a year, a typical range taken from 595 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "Europe, Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Kestra Technologies, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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