Lead GCP Data Engineer, Architect
Join to apply for the Lead GCP Data Engineer, Architect role at Xebia.
While Xebia is a global tech company, in Poland, our roots came from two teams – PGS Software, known for world‑class cloud and software solutions, and Get In Data, a pioneer in big data. Today, we’re a team of 1,000+ experts delivering top‑notch work across cloud, data and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e‑commerce to aviation, logistics, media and fashion, we help our clients build scalable platforms, data‑driven solutions and next‑gen apps using ML, LLMs and generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, All Saints, Volotea, Schmitz Cargobull, and Allegro or In Post.
Beyond Projects
What makes Xebia special? Our community. We run events like the Data&AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks) and have a culture that actively supports your growth via Guilds, Labs, and personal development budgets – for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
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, Git Hub Actions) and infrastructure as code,
familiarity with managing self‑hosted tools like Spark or Airflow on Kubernetes,
experience managing data warehouse in Big Query,
strong communication skills and a proactive, problem‑solving mindset,
very good command of English (min. C1).
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.
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/
Recruitment Process
CV review – HR call – Technical Interview (with Live‑coding) – Client Interview (with Live‑coding) – Hiring Manager Interview – Decision
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
IT Services and IT Consulting
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