Senior Data Engineer

The person in this role will join our Advanced Analytics projects, with a focus on the Databricks ecosystem. Beyond hands-on engineering, you'll work closely with clients and project teams, contributing to architecture discussions and helping define the evolution of data platforms. You'll work in international teams, in English, on modern cloud-native solutions.

Warsaw Hybrid/Remote

Requirements

5+ years in Data Engineering (Data Warehouse, Data Lake/Lakehouse, ETL/ELT, Big Data)
3+ years of commercial Databricks experience (PySpark, Spark SQL, Delta Lake, DLT)
Deep understanding of Databricks architecture
Strong SQL and Python skills (5+ years)
Good understanding of Medallion Architecture
Understanding of data modelling principles
Experience with cloud environments (Azure, AWS or GCP)
Knowledge of architectural patterns: Data Mesh, Data Vault, Dimensional Modeling
Familiarity with orchestration and integration tools (Airflow, dbt, Kafka, Data Factory)
Git practical experience (GitHub, GitLab, Bitbucket)
Additional experience with data governance and data quality practices, as well as database technologies such as SQL Server, PostgreSQL, Redshift, MongoDB, or Cosmos DB, will be an asset
Practical English at B2+ level (C1 preferred), with openness to grow it further
Good communication skills

Responsibilities

Design and architect data platform solutions in Databricks, both for new builds and optimizations of existing systems
Advise clients directly on technical direction: propose architectural decisions, evaluate trade-offs, and present recommendations
Build and optimize scalable ETL/ELT pipelines using Spark, Delta Lake, and Medallion Architecture
Own data quality, monitoring, and observability within the platform
Drive standardization: code review, documentation, testing practices, CI/CD
Collaborate with project teams, Data Analysts, and Data Scientists in international settings
Mentor junior engineers on solution design, Databricks best practices, and code quality
Stay current with Databricks releases and proactively propose platform improvements

We offer

Global projects in clouds - we work with clients from all over the world based on modern cloud technologies
Certification reimbursement - we fund exams, Microsoft certifications, AWS, Databricks
Learning time - 60 paid hours per year
Flexible approach - choice between working from home or meeting at our offices
Personalised benefits - medical care, subsidised sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonuses

If you are interested in the offer, send your CV

Apply

Aleksandra Dziwiszek

Junior HR Specialist

aleksandra.dziwiszek@bitpeak.com

Behind every project are passionate individuals working together toward a common goal. Collaboration opens doors to new solutions and breakthroughs in data. I am convinced of the power of team and openness to new challenges in the world of data. By supporting each other, we can accomplish great things together and build lasting success.

Still have questions about working for BitPeak? Write to us!

Agnieszka Golota-Hojka

Data & AI Manager

agnieszka.golotahojka@bitpeak.com

Technical competence, initiative, ability to innovate and problem solve - those are qualities important for every Senior Data Engineer and things I look for in my team. Our job is to make sure everything runs smoothly and to the highest standard. If you think you can do that - join us!