Engineering Manager (Data)

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and Data Science consulting company, recognized for our innovation and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year and have achieved a second consecutive appearance 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 ~30 to ~50. Hence, we're looking for an experienced Engineering Manager to lead one of the newly formed 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 (by oftentimes yourself being hands-on) of data engineering, ML/ML Ops, and cloud migration projects for our EMEA and US customers. Depending on your preference and strengths, you will lead a specialized data engineering team in one of the following areas:

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 environments. This includes designing, implementing, and maintaining ETL/ELT workflows, ingesting structured, semi-structured, and unstructured data from systems like Oracle, Snowflake, and Redshift. 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.

Analytics Engineering

This team focuses on delivering structured, analytics-ready datasets to empower business intelligence, self-service analytics, and data-driven decision-making. Responsibilities include developing semantic layers and data models, implementing transformations and aggregations on raw data, and standardizing metrics, KPIs, and business logic. The team ensures data consistency and version control for analytics code, optimizes query performance in data warehouses, and supports BI and reporting teams with dataset accessibility and governance. Key initiatives involve building the semantic layer of the Enterprise Data Platform, creating data that contains insights for self-service use, enforcing data contracts and governance, and improving the performance of analytical queries and dashboards.

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 senior 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 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 toward identifying and filling organizational gaps, being organizational process or documentation gaps, customer communication mismatches, or resource allocation deficiencies.

Leadership skills

• Proven experience as an Engineering Manager - you have experience leading engineering teams, overseeing project deli