Lead Data Engineer

Od 20 lat wspieramy liderów IT, dostarczając technologie, ekspertów i pełne wsparcie operacyjne - w tym legalizację pobytu i pracy międzynarodowych specjalistów IT. Do naszych projektów poszukujemy specjalistów Java, JavaScript, C embedded, C++, PHP, specjalistów od mobile, testerów oprogramowania, administratorów sieci i systemów i wielu innych.

• Strong commercial experience as a Data Engineer in enterprise environments.
• Hands-on experience with Hadoop, Spark, and Splunk.
• Strong Python skills with experience building ETL/ELT pipelines.
• Experience with data modelling and designing scalable data pipelines.
• Experience working with SQL and NoSQL databases.
• Experience processing raw, structured, semi-structured and unstructured data.
• Good understanding of the complete data lifecycle, including ingestion, transformation and delivery.
• Experience with Git and CI/CD pipelines.
• Strong analytical and problem-solving skills.
• Experience collaborating with BI and Analytics teams.
• Ability to mentor less experienced engineers and provide technical guidance.
• Excellent communication and stakeholder management skills.
• Understanding of engineering governance, risk management, and compliance principles.

Nice to have:

• Experience working in Agile environments (Scrum, Kanban).
• Experience leading technical initiatives or coordinating multiple engineering projects.
• Experience implementing automated unit and integration testing.
• Passion for coaching and supporting the professional development of other engineers.
• Experience working with external vendors and cross-functional stakeholders.

• Design, develop and optimize scalable ETL/ELT data pipelines.
• Build and maintain data ingestion and transformation processes for structured, semi-structured and unstructured data.
• Work with enterprise data platforms based on Hadoop, Spark and Splunk.
• Develop data engineering solutions using Python while ensuring high quality, performance and maintainability.
• Collaborate closely with BI, Analytics and cross-functional engineering teams to deliver reliable data solutions.
• Support CI/CD implementation and follow software engineering best practices, including source control and automated testing.
• Ensure service resilience, sustainability, and compliance with governance and risk management standards.
• Troubleshoot and resolve complex data engineering challenges in production environments.
• Mentor junior engineers and share technical knowledge across the team.
• Contribute to continuous improvement by promoting engineering best practices and innovative technologies.