Data Engineering Manager
HybridBudapest, Budapest, Hungary
Job Summary
Lead one of our data engineering teams comprising 5-6 consultants to oversee project delivery, manage and mentor the team, and ensure the successful execution of data engineering, ML/MLOps, and cloud migration projects for EMEA customers. Split your time between team management and being hands-on in project delivery, focusing on building and optimizing scalable, high-performance data pipelines that enable seamless data movement, transformation, and storage across enterprise environments. Design, implement, and maintain ETL/ELT workflows, ingesting structured, semi-structured, and unstructured data from systems like Oracle, Snowflake, and Redshift while collaborating with cloud and infrastructure teams to ensure data reliability and observability. Depending on seniority and business needs, take over an existing team or build a new one from scratch.
Required Qualifications
- Engineering Manager (Data)
- Lead one of our data engineering teams comprising 5-6 consultants
- Oversee project delivery
- Manage and mentor the team
- Ensure the successful execution of data engineering, ML/MLOps, and cloud migration projects
- Split time between team management and being hands-on in project delivery
- Design, implement, and maintain ETL/ELT workflows
- Ingest structured, semi-structured, and unstructured data from systems like Oracle, Snowflake, and Redshift
- Experience in big data processing for both batch and streaming workloads
- Experience using modern data storage formats such as Delta Lake, Iceberg, and Hudi
- Collaborate closely with the cloud, infrastructure, and data governance teams
- Build enterprise data platforms
- Enable real-time and batch analytics workloads
- Migrate legacy systems to modern cloud environments
- Consultant mindset & passion for customer experience
- Prioritize work with the customer in mind
- Seek to advise (rather than purely execute) customers on the best-in-class technical solutions
- Solid software engineering foundations
- Be a stack-agnostic software engineer
- Have a strong understanding of how distributed systems work
- Be familiar with and keen to follow best-in-class software engineering principles
- Have played a role in teams that designed and implemented data-intensive applications
- Have strong SQL and NoSQL hands-on experience
- Have exposure to real-time data processing systems, Apache Spark, and/or the big data ecosystem
- Thrive when having to solve problems and take ownership
- Solve problems on your own
- Advise others on how to do the same
- Have a natural predisposition to identify and fill organizational gaps
- Be ready to take on the responsibility of leading and supporting a team
- Be motivated to lead and grow people
- Be ready to help raise the bar across your team and the wider organization
- Adjust communication style
- Articulate technical concepts to all types of audiences
- Ensure transparent communication across all levels
- Spend face-to-face time with your team
- Mentor others regularly
Desired Qualifications
- Experience managing teams
- Experience growing into leadership through informal experience such as leading a project team or owning delivery for a group of people
- Experience co-creating goals and development plans with a team
- Experience supporting and mentoring colleagues informally
- Experience helping hire and grow high-performing teams
- Experience contributing to team culture and collaboration
- Experience driving process improvements
- Experience onboarding new colleagues
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