Backend Data Engineer — Data Platform
Devire
⚲ Remote
23 520 - 28 560 PLN (B2B)
Wymagania
- Java
- Spark
- SQL
- Cloud
- Analytics platform
- BigQuery
- DevOps
- Data engineering (nice to have)
- Flink (nice to have)
- Kubernetes (nice to have)
- Scala (nice to have)
- Python (nice to have)
Opis stanowiska
O projekcie: Devire IT Outsourcing is a form of cooperation dedicated to IT specialists, based on a business-to-business (B2B) model, delivering projects for clients running innovative and modern initiatives. For our client, a consulting and technology company specializing in digital transformation, software engineering, cloud, and data, we are looking for a person for the position of Backend Data Engineer — Data Platform: - B2B contract - 100% zdalnie - Stawka: 140-170 PLN netto+VAT/h - Compensation based on a B2B contract (via Devire) - Rate: 120–140 PLN/hour net + VAT. - 100% remote collaboration. - Opportunity to access a benefits package in attractive prices (medical care, Multisport card, life insurance, cafeteria system). - Long-term cooperation. Wymagania: - Strong Java development skills, with experience in data platform or data engineering contexts - Practical experience with at least one JVM-based data processing framework — Flink experience is a plus; Beam, Dataflow, or Spark also relevant - Comfortable with SQL and cloud data analytics platforms, particularly BigQuery - DevOps is part of your day-to-day: you work with cloud infrastructure, containerised applications, and are familiar with Kubernetes basics - Experience working with data engineering pipelines in Scala and/or Python - You write quality code and understand what it means to ship reliably in a production environment - You can work autonomously in an ambiguous environment and move quickly without waiting to be directed Nice to Have - Prior experience with large-scale pipeline migrations - Familiarity with cost optimisation in cloud data processing workloads Codzienne zadania: - We're looking for an engineer to support hands-on implementation and migration work as we evolve our data processing stack. This is a high impact and execution-focused engagement — you'll be contributing to company wide migration efforts and platform development. What You'll Work On You'll be embedded in a team in Data Infrastructure PA, contributing to hands-on engineering work. This includes large-scale pipeline migrations — validating performance and cost outcomes and helping move workloads to our evolving stack — as well as contributing to platform development across our Flink platform, Lakehouse architecture and beyond, as our priorities evolve. - What We're Looking For You have solid, hands-on experience in backend engineering and are comfortable jumping into an existing platform codebase and making meaningful contributions quickly.