👉 Lead GCP Data Engineer, Architect

🟣 You will be:

• designing, building and optimizing the data ingestion pipeline to reliably deliver billions of events daily in defined SLA,

• leading initiatives to improve scalability, performance and reliability,

• providing support for all product teams in building and optimizing their complex pipelines,

• identifying and addressing pain points in the existing data platform; proposing and implementing high-leverage improvements,

• developing new tools and frameworks to streamline the data platform workflows,

• driving adoption of best practices in data and software engineering (testing, CI/CD, version control, monitoring),

• working in close collaboration with data scientists and data analysts to help support their work in production,

• supporting production ML workflows and real-time streaming use cases,

• mentoring other engineers and contributing to a culture of technical excellence and knowledge sharing.

🟣 Your profile:

• 6+ years of hands-on experience in data engineering and large-scale distributed systems,

• proven expertise in building and maintaining complex ETL/ELT pipelines,

• deep knowledge of orchestration frameworks (Airflow) and workflow optimization,

• strong GCP cloud infrastructure experience,

• GKE experience,

• expert-level programming in Python or Scala,

• solid understanding of Spark internals,

• experience with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure as code,

• familiarity with managing self-hosted tools like Spark or Airflow on Kubernetes,

• experience managing data warehouse in BigQuery,

• strong communication skills and a proactive, problem-solving mindset,

• very good command of English (min. C1).

Work from the European Union region and a work permit are required.

Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/

🟣 Nice to have:

• working experience with messaging systems like Kafka, Redpanda,

• experience with real-time data streaming platforms (e.g., Flink, Spark Structured Streaming),

• familiarity with ML platforms or MLOps workflows,

• familiarity with Kubeflow, Valido, Looker, Looker Studio.

🟣 Recruitment Process:

CV review – HR call – Interview (with Live-coding) – Client Interview (with Live-coding) – Hiring Manager Interview – Decision

🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,

• we fund certifications e.g.: AWS, Azure,

• access to Udemy, O'Reilly (formerly Safari Books Online) and more,

• events and technology conferences,

• technology Guilds,

• internal training,

• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,

• multiSport card - we subsidise a MultiSport card,

• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,

• contract for an indefinite period.