Senior Data Engineer

HubQuest; Polska; Hybrid; PLN 260,000 - 380,000; Full time

Job summary

HubQuest is seeking a Senior Data Engineer to join a high-seniority engineering group focused on strategic, technically challenging initiatives in Data Management and Analytics. The role involves ownership of complex data challenges and hands-on work across Databricks, Azure, Python, and AI-enabled data discovery.

The candidate will contribute to data platform migration, the development of an AI-powered data discovery solution, and the evolution of Data Foundation in Databricks, while

Qualifications

• Senior-level data engineering experience with Databricks and Azure.
• Experience building data platforms and data foundations.
• Hands-on in Python, PySpark, and SQL.
• Experience with AI-powered data discovery is a plus.

Responsibilities

• Own complex data engineering challenges end-to-end.
• Build robust, scalable Databricks-based solutions.
• Lead architecture discussions with senior engineers.
• Move between strategic initiatives with strong ownership.

Skills

Strong engineer

Coding

Independent problem solving

Architectural discussion

Ownership

Initiative

Tools

Azure

Databricks

Python

PySpark

SQL

Unity Catalog

Job description

We are a team of tech enthusiasts on a mission to bring together the best minds in IT services and analytics. Our goal? To build cutting-edge IT and Analytical Hubs that empower our partners to become truly data-driven organizations.

For our client’s Data Management & Data Foundation area, we are looking for an exceptional Senior Data Engineer – a highly experienced, hands-on engineer who can independently take ownership of complex technical challenges and turn them into robust, scalable solutions.

This is not a maintenance-focused or business-as-usual role. You will join a high-seniority engineering group working on strategic and technically challenging initiatives, moving between projects depending on priorities and where the strongest engineering expertise is needed.

The wider Data Management organization consists of approximately 30 engineers and technology specialists, while this role will focus primarily on a selected set of high-impact initiatives.

This is a role for someone who enjoys building things, solving difficult engineering problems, and having a real technical impact rather than simply executing predefined tasks.

You will contribute to several strategic projects within the Data Management domain, including:

Data platform migration to Databricks

Migration and modernization of existing data management capabilities into the Databricks ecosystem, including engineering support, platform integration, and implementation of new Databricks-based solutions.

AI-powered data discovery solution

Development of a new approach to enterprise data discovery.

The solution combines capabilities such as Databricks, Unity Catalog, AI-powered data discovery, RAG, and conversational interfaces to create a chat-based experience that helps business units discover and understand available data.

Instead of relying on numerous manual discovery sessions with individual operating companies, the aim is to enable users to explore datasets, metadata, and available data products through an intelligent conversational interface.

Data Foundation

Development and evolution of the organization’s Data Foundation in Databricks, creating scalable technical foundations that can be reused across teams, markets, and data products.

Who will succeed in this role?

You are likely to enjoy this position if you:

• are a strong engineer first and foremost;
• like coding and still want coding to be a significant part of your daily work;
• are comfortable being given a difficult problem rather than a detailed list of implementation steps;
• can work independently and make sound technical decisions;
• naturally look for improvements instead of accepting existing solutions as fixed;
• enjoy exploring new technologies and translating them into practical enterprise solutions;
• are comfortable moving between different initiatives and technical contexts;
• can discuss architecture with senior engineers and architects while remaining deeply hands‑on;
• prefer an environment where technical competence, ownership, and initiative matter more than job titles.

What we offer

• Opportunity to work on high-impact, strategic data initiatives rather than repetitive business‑as‑usual development.
• Significant technical ownership and freedom in how problems are solved.
• Hands-on work with Azure, Databricks, Python, PySpark, SQL, and emerging AI capabilities.
• Exposure to modern applications of AI and RAG in enterprise data management and discovery.
• Opportunity to influence technical architecture and engineering practices.
• Collaboration with experienced engineers and architects across an international technology organization.

We are looking for someone who can operate at a genuinely senior level – a strong coder, an independent problem solver, and an engineer who brings ideas rather than waits for instructions.

If this sounds like the kind of engineering environment in which you do your best work, we’d like to hear from you.