Tech Lead – Databricks & Data Platform

About our promises. We can offer:

🧭 Flexible working hours and a hybrid home office model (2-3 times per week in the office) as work-life balance is crucial at Sollers.

💸 A chance to be promoted twice a year.

🏸 A clearly defined career path and salary forecast.

🌱 Opportunities for growth with a training budget that you can use for courses, conferences. We also provide access to an online course platform and organize and co-fund language classes.

🧒 An internal coach to guide you through the onboarding and further training and career opportunities and a budget to be used for your lunches together.

🐕 🦺 A chance to #domore for the planet and the community as part of Sollers Change Makers - our volunteering program.

🎉 Lots of teambuilding activities, trips, hobby groups and cultural events to create a company powered by teamwork.

🎮🍦 Great places to work: comfortable offices in city centers with chill zones (foosball tables, PS5, etc.) and team lunches on regular basis.

🧘 🤸💊 Probably all the benefits you can think of.

About the role. You will:

• Lead the technical delivery of enterprise-scale data platform initiatives for a major international client.
• Act as a key technical sparring partner for both business stakeholders and IT teams.
• Take full technical ownership of end-to-end ETL/ELT pipelines using the Medallion Architecture.
• Design and optimize advanced Databricks environments, taking responsibility for the overall platform architecture, cost-to-performance ratio, and data governance strategies.
• Drive the DataOps and CI/CD strategy to ensure automated and scalable data delivery.
• Mentor and guide a team of data engineers in Poland, ensuring top-tier code quality through peer reviews and advanced engineering standards.

About the skills and tools. You will use:

• Advanced pySpark for distributed processing extending far beyond basic data manipulation (deep understanding of Spark internals), including Structured Streaming.
• Databricks platform as your core ecosystem, leveraging Asset Bundles (DABs), Databricks Workflows, Lakeflow Pipelines.
• Advanced data governance, utilizing Unity Catalog for end-to-end lineage and fine-grained security.
• Various performance tuning strategies – e.g. Liquid Clustering, partitioning, skew handling, broadcast, compute optimization.
• Azure ecosystem services supporting the data platform, primarily ADLS Gen2, Azure Data Factory (ADF), Azure SQL, Key Vault, Azure Functions, and Azure Entra ID.
• Data architectures, focusing on Data Lakehouse and Medallion patterns.
• Core programming and query languages: Python and SQL.

About the requirements. You need:

• At least 5 years of commercial experience in data engineering or similar data-focused roles.
• A minimum of 2 years of experience in a Tech Lead or similar technical leadership position.
• Proven mastery of the Databricks platform and a deep understanding of Spark internals and performance tuning.
• Strong command of English (C1 level) for daily, direct collaboration with international stakeholders.
• A solid understanding of software engineering principles, including data structures, algorithms, and design paradigms.

About the wishes. Nice to haves:

• Previous experience in IT consulting or direct client-facing advisory roles.
• Domain knowledge within the insurance or financial sectors.
• Practical experience in data modeling and logical or physical design.
• Professional certifications such as Databricks Certified Data Engineer Professional or Azure Data Engineer Associate.