Senior Data Platform Engineer

Description

The team supports internal users of an enterprise Data & Analytics platform that includes Databricks, Azure, AI solutions, and data management services.

You will act as a technical data expert and trusted advisor, helping teams onboard faster, solve hard technical problems, and get more from the platform.

You will also feed user input back to platform engineering so it becomes better features, more automation, and smoother ways of working.

Job number: R000152402. Level: experienced professional.

Responsibilities

• Help internal teams adopt the enterprise platform and build on its capabilities.
• Build AI-driven support tools, automations, and self-service options that cut support effort and boost user productivity.
• Work with data engineers, architects, asset managers, and developers to design sound technical solutions.
• Coach users on platform setup, API integration, GitHub workflows, CI/CD, and engineering practice.
• Create and promote reusable golden path solutions that make adoption easier and speed up delivery.
• Give platform engineers concrete feedback on usability, developer experience, and operational efficiency.
• Apply engineering standards so solutions are scalable, secure, maintainable, cost-effective, and reusable.
• Identify recurring user problems and lead automation and process improvements to fix them.
• Keep up with new tools and trends in data engineering, DevOps, cloud, and AI-assisted development.

Requirements

• Background in data engineering, platform engineering, DevOps, cloud engineering, or a similar technical field.
• Clear communication and strong stakeholder management.
• Hands-on experience with Databricks, Python Spark/PySpark, SQL, Azure cloud services, and GitHub.
• Experience building CI/CD pipelines with tools such as GitHub Actions, SonarQube, Snyk, or equivalents.
• Solid grasp of distributed computing and large-scale data processing.
• Experience troubleshooting complex cloud platforms and data solutions.
• Understanding of Azure cloud infrastructure and networking.
• A practical problem solver who can work through ambiguity and drive customer success.

Conditions

Full-time role based at the Warsaw downtown office.

Hybrid model: you can work from home two days a week and spend the rest in the office.

Employment is offered only as an Umowa o Pracę (full-time employment contract).

Equal opportunity employer: no discrimination based on citizenship, race, gender, age, disability, religion, or other legally protected factors.

Benefits

• Projects sized like the company's, with access to leading IT partners and technologies from day one.
• Training and certification paths for self-development.
• Competitive starting salary and benefits, including private health care, company stock, savings plans, and sport cards.
• Regular salary increases and possible promotions based on results and performance.
• Chances to change role every few years to find the best fit for you and the company.