Senior Analytics Engineer GCP, REMOTE WARSZAWA RZESZÓW GDAŃSK WROCŁAW
Your profile:
- strong experience as Analytics Engineer / Data Engineer with focus on analytics layer,
- hands-on experience with dbt (or Dataform) and SQL-based transformations,
- experience with GCP stack (BigQuery, Cloud Storage, Composer/Airflow),
- strong SQL skills and experience building data models (dimensional modeling, data marts),
- experience working with modern data platforms / lakehouse architectures,
- understanding of data pipelines, ETL/ELT processes, and orchestration (Airflow/Dagster or similar),
- experience with data validation, testing, and data quality frameworks,
- ability to work with stakeholders and translate business needs into data models,
- familiarity with data migration projects (replatforming, consolidation),
- experience with CI/CD for data (e.g., Terraform, GitHub Actions, Cloud Build),
- knowledge of data governance, cataloging and lineage tools,
- exposure to streaming or near real-time data processing,
- familiarity with AI/ML or analytics enablement use cases,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Work from the European Union region and a work permit are required.
Nice to have:
- experience with Knowledge Catalog / data catalog tools Experience with BI tools (e.g., QuickSight or similar),
- exposure to self-service data platforms,
- understanding of FinOps / cost optimization in cloud data platforms,
- experience in highly distributed enterprise environments.
Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, 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 and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support 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.
,[designing, building and maintaining data models (mainly in dbt/Dataform) on top of BigQuery,, developing and optimizing analytical datasets and data marts for business consumption,, collaborating with data engineers and business stakeholders to translate requirements into scalable data solutions,, implementing data transformation logic and ensure data quality, testing, and validation,, supporting migration of existing pipelines from AWS / Snowflake / Azure into GCP,, working with ingestion pipelines (Pub/Sub, Datastream, Dataflow) and ensure alignment with downstream reporting needs,, contributing to governance, data cataloging, and lineage (Knowledge Catalog),, enabling self-service analytics through reusable models, templates, and standards,, validating data consistency during migration and support cutover (parity vs legacy systems),, supporting BI layer (e.g. QuickSight) and ensure consistency of KPIs across domains,, participating in establishing best practices for analytics engineering and data product development.] Requirements: dbt, SQL, GCP, BigQuery, BI Additionally: Training budget, Private healthcare, Multisport, Integration events, International projects, Mental health support, Referral program, Modern office, Canteen, Free snacks, Free beverages, Free tea and coffee, No dress code, Playroom, In-house trainings, In-house hack days, Normal atmosphere :).