Senior Data Engineer

We are a team of experts bringing together top talents in IT and analytics. Our mission is to build high-performing data and technology teams — from the ground up or by scaling existing ones — to help our partners become truly data-driven organizations.

Currently, we are looking for a Senior Data Engineer to join the Global Analytics Unit , a global, centralized team driving data-driven decision-making and developing smart data products that power everyday operations across markets.

The team’s essence is innovation — we foster a data-first mindset across all business areas, from sales and logistics to marketing and procurement. As the team expands its analytics solutions globally, we’re seeking a hands-on engineer who combines strong software craftsmanship with a passion for building scalable, automated data systems.

Why join us

If you want to :

Work on complex, large-scale data systems with global impact

Build robust and scalable data pipelines using modern cloud-native architectures

Contribute to innovative projects and see your ideas implemented

Work in a diverse global team of top-tier engineers and data professionals

Have the freedom to shape tools, technologies, and processes

Operate in a culture that values autonomy, collaboration, and technical excellence

• ...then this role is for you.

We also offer :

Flexible working hours and remote work options

A relaxed, non-corporate environment with no unnecessary bureaucracy

Private medical care and Multisport card

A modern office in central Warsaw with great transport links

Access to global learning resources, certifications, and knowledge exchange

Your role

As a Senior Data Engineer , you will :

Design, develop, and maintain end-to-end data pipelines and architectures for large-scale analytics solutions

Refactor code and REST services to support dynamic OpCo deployments and multi-tenant scalability

Develop zero-touch deployment pipelines to automate infrastructure and environment provisioning

Implement data validation and testing frameworks ensuring reliability and accuracy across data flows

Integrate new pipelines into a harmonized data execution portal

Build and maintain serverless and Databricks-based data processing systems on Azure

Design and optimize ETL / ELT workflows in Python (including PySpark)

Implement Infrastructure as Code (IaC) for reproducible deployments using tools like Terraform

Collaborate closely with Data Scientists, Architects, and Analysts to deliver production-grade data products

Troubleshoot, monitor, and improve data pipelines to ensure performance and resilience

What we expect

5+ years of professional experience as a Data Engineer or Software Engineer in data-intensive environments

Strong Python development skills , with solid understanding of OOP, modular design, and testing (unit / integration)

Experience with PySpark and distributed data processing frameworks

Hands-on experience with Azure Data ecosystem , including Databricks, Data Factory, Synapse, and serverless compute

Solid knowledge of SQL and database performance optimization

Experience in CI / CD and DevOps practices for data pipelines (GitHub Actions, Azure DevOps, or similar)

Proven ability to refactor complex systems and implement scalable, automated solutions

Experience in data testing, validation, and observability frameworks

Strong communication skills and the ability to work independently in a global, collaborative team environment

Fluent English

Nice to have

Experience with DBT (Data Build Tool) for transforming and testing data in analytics pipelines

Experience with Terraform or other Infrastructure as Code tools

Familiarity with containerization and orchestration (Docker, Kubernetes)

Understanding of data governance and metadata management principles

Experience in multi-tenant or multi-market system design

In short

We’re looking for a software-minded Data Engineer — someone who writes clean, testable Python, designs systems that scale globally, and loves automating everything that can be automated. You’ll have a real impact on the architecture and delivery of global analytics solutions used daily across multiple markets.

Please add to your CV the following clause :

" I hereby agree to the processing of my personal data included in my job offer by hubQuest spółka z ograniczoną odpowiedzialnością located in Warsaw for the purpose of the current recruitment process.”

If you want to be considered in the future recruitment processes please add the following statement :

" I also agree to the processing of my personal data for the purpose of future recruitment processes.”