Lead Data Engineer

Team Leadership & Development: Leading a dynamic team of Data Engineers by conducting regular 1:1 meetings, mentoring team members, planning development paths, setting and reviewing individual goals, and managing project assignments. Supporting recruitment, onboarding, and fostering a knowledge-sharing culture within the team to enhance competencies

Technical Expertise & Contributions: Ensuring the high quality of team-delivered solutions by actively contributing as a Solution Architect on selected projects. Promoting best practices in Data Engineering, participating in internal and external expert meetings, and strengthening client relationships. Supporting pre-sales and sales efforts, including gathering customer requirements, preparing work estimations, and assisting in proposal creation

Monitoring the market for interesting solutions in the Data Engineering area

Directly report and actively collaborate with a board member (Chief Delivery Officer) on the strategy for the Data Engineering team (development plans, team offerings/specializations, technology partnerships, R&D initiatives, etc.)

Main technology areas: data services in Azure/AWS cloud and Databricks platform

Competency areas: SQL, Python, ETL/ELT, QA, Data Governance

At least 5 years of experience managing professional teams (including groups of more than 10 people) as a line manager or project supervisor

More than 3 years of experience in managing teams in the area of data engineering/data warehousing

Very good knowledge and ability to apply team management methods in practice

At least 7 years of hands-on experience delivering projects focused on the design and development of Business Intelligence, Advanced Analytics, ETL/ELT, Data Warehousing, Data Lakes, and Big Data solutions (in roles such as Project Manager, Solution Architect, Data Engineer, or BI Consultant)

More than 3 years of experience in building and implementing cloud services, in particular, discernment and experience in data services offered by Azure and/or AWS platforms

Understanding of Data Governance (including Data Quality, Master Data Management, Data Catalog, Data Lineage, Data Lifecycle Management)

Open-minded, motivated, and curious, with a readiness to learn cutting-edge technologies and integrate them into hands-on projects

Proficiency in English at a minimum C1 level

Regular presence in the Warsaw office (at least three times per month, ideally more frequently)

Global projects in clouds — we work with clients from all over the world based on modern cloud technologies

Certification reimbursement — we fund exams, certifications from Microsoft, AWS, Databricks, Snowflake

Time to learn — 60 paid hours per year

Flexible approach — you can choose to work from home or meet at our offices

Personalized benefits — medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus