Data Engineering Manager

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program , and made three consecutive appearances on the Financial Times FT1000 list .

We are now looking for an Engineering Manager (Data) to help us further expand our world-class data engineering team. What will you do? In the following 12-18 months, we will grow our data engineering and AI team from ~40 to ~65.

Hence, we're looking for an Engineering Manager to lead one of our data engineering teams comprising 5-6 consultants. In this role, you will oversee project delivery, manage and mentor the team, and ensure the successful execution - often by staying hands-on yourself - of data engineering, ML/MLOps, and cloud migration projects for our EMEA customers. In our current operating model, you will be expected to split your time between team management and being hands-on in project delivery.

Your Team: Core Data Engineering This team is responsible for building and optimizing scalable, high-performance data pipelines that enable seamless data movement, transformation, and storage across enterprise customer environments. This includes designing, implementing, and maintaining ETL/ELT workflows, ingesting structured, semi-structured, and unstructured data from systems like Oracle, Snowflake, and Redshift. The team is experienced in big data processing for both batch and streaming workloads and using modern data storage formats such as Delta Lake, Iceberg, and Hudi.

The team collaborates closely with the cloud, infrastructure, and data governance teams to ensure data reliability, observability, and monitoring through modern tooling. Key focus areas include building enterprise data platforms, enabling real-time and batch analytics workloads, and migrating legacy systems to modern cloud environments. Depending on your seniority and our current business needs, you will either take over an existing team or build up a new team from scratch.

What does it take to fit the bill? Consulting and Technical Skills Consultant mindset passion for customer experience - you prioritize your work with the customer in mind, and you seek to advise (rather than purely execute) your customers on the best-in-class technical solutions; Solid software engineering foundations - you are a stack-agnostic software engineer with a strong understanding of how distributed systems work. Additionally, you are familiar with (and keen to follow) best-in-class software engineering principles; Data Cloud are part of your engineering journey - you have played a role in teams that designed and implemented data-intensive applications and have strong SQL and NoSQL hands-on experience.

Exposure to real-time data processing systems, Apache Spark, and/or the big data ecosystem is an advantage; You thrive when having to solve problems and take ownership - you solve problems on your own and advise others on how to do the same. Moreover, you have a natural predisposition to identify and fill organizational gaps, be it processes or documentation gaps, customer communication mismatches, or resource allocation deficiencies.