Data Engineering Manager

Data Engineering Manager

Ignitis

Vilnius, Lithuania

We are looking for a colleague to lead our Data Engineering team, which is responsible for developing and maintaining both our on-premise Data Warehouse and our Microsoft Azure-based Cloud Data Platform. The team enables a wide range of business-critical data solutions across the Ignitis Group - including sales, financial, operational, customer, smart metering, and energy insights - ensuring reliable and scalable data foundations for the entire organization. If that speaks to you, we’d be happy to welcome you to our team!

You will contribute to the creation of a green and secure energy ecosystem by:

• Leading a team of data engineers - guiding, mentoring, supporting career growth, and managing performance;
• Owning end-to-end delivery of data solutions - ensuring on-time delivery while maintaining high quality and engineering best practices;
• Setting technical excellence - establishing data architecture and engineering standards to ensure data quality, reliability, and scalability;
• Staying current with emerging trends and best practices in data engineering and introducing relevant improvements;
• Collaborating with cross-functional stakeholders to translate business needs into robust and scalable data solutions.

Required for this position

• 5+ years of experience in a hands-on data engineering role;
• 2+ years of experience leading a team of engineers - including mentoring, coaching, and performance management;
• Ability and motivation to remain technical and provide architectural and delivery guidance when needed;
• Strong sense of ownership, resilience, and a proactive problem-solving mindset;
• Proven track record in establishing and improving engineering practices, development processes, and operational excellence;
• Solid knowledge of data modeling, ETL/ELT pipelines, data warehousing concepts, and workflow orchestration;
• Excellent Python and SQL skills.

Would be an advantage

• Experience with Microsoft Azure services, ideally including Microsoft Fabric;
• Familiarity with modern Cloud Data Platforms such as Databricks, Snowflake, or similar solutions;
• Experience with data streaming technologies such as Apache Kafka, Apache Pulsar, or similar.