As a Data Engineering Manager, you will lead a team responsible for designing, building, and maintaining high-performance data platforms within a modern lakehouse environment. You'll play a dual role—providing technical leadership while actively contributing to architecture, pipeline development, and system optimization.
Key Responsibilities
- Recruit, mentor, and develop data engineers, fostering a culture of collaboration, learning, and technical excellence
- Guide the team in establishing and refining engineering standards, code quality, and operational reliability
- Drive the evolution of scalable, observable, and secure data systems aligned with governance and compliance standards
- Collaborate with Product, Analytics, and Applied Science teams to shape data roadmaps and deliver impactful capabilities
- Participate directly in development, architecture discussions, and platform improvements
- Communicate clearly with stakeholders on progress, risks, and technical trade-offs
- Oversee budget planning and resource allocation to support team objectives
Qualifications
- Minimum of 2 years managing data or software engineering teams
- Proven experience building and operating large-scale data processing systems
- Strong proficiency in Python and SQL
- Hands-on knowledge of lakehouse technologies such as Delta Lake or Apache Iceberg
- Familiarity with platforms like Databricks or Snowflake
- Understanding of CI/CD pipelines, software engineering best practices, and system reliability
- Strong decision-making, communication, and stakeholder management abilities
- Experience in performance management, process improvement, and project leadership
Preferred Background
- Experience with distributed processing frameworks like Spark or Flink
- Background in developing self-service analytics or internal data platforms
- Understanding of data workflows in AI/ML model development
Technology Environment
Python, SQL, Delta Lake, Apache Iceberg, Databricks, Snowflake, Spark, Flink
Compensation & Growth
- Competitive base salary ranging from 288,000 to 432,000 PLN
- Annual performance bonus and long-term incentives
- Opportunities for career advancement and cross-functional skill development
- Work on meaningful challenges with direct impact on customers and industry
Work Model
This role supports a global work environment with flexibility in location. The team operates in a collaborative, inclusive culture focused on innovation, equity, and solving complex data problems in the legal technology space.
