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 join us remotely in Spain. You will help us further expand our world-class data engineering team and work with our EMEA customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles.

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?

What will the selection process look like?

You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever Spain hire, you could meaningfully contribute to expanding our local presence and, eventually, establishing a physical hub in this geography.

Surely, we know everyone needs a little something to do their best work. Here is a list of some other extras we offer:

IMPORTANT NOTE: Given that we are still sorting our way in Spain, this list will likely get an update in the following months, and we're also committed to growing it with us over time.

The gross salary for this position ranges from 70.000 to 88.000 EUR/year, depending on your assessed seniority level during the selection process.

Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we’re just setting foot into Spain.

DATAPAO is a Databricks Gold Partner covering the full data and AI journey — architecture, delivery, and enablement — for global brands that refuse to settle for «good enough.» We don't hand over a slide deck and walk away: our engineers embed directly with client teams, and our training arm has turned 20,000+ professionals into Databricks experts worldwide.

We're backed by Databricks itself — the creators of Apache Spark — and act as their delivery and training partner across Europe. That partnership has earned us Databricks EMEA Emerging Partner of the Year, and a spot on the Financial Times FT1000 list of Europe's fastest-growing companies for the third year running (2026).

We've delivered 200+ projects for clients like Norsk-Hydro, Richter, Egis, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name a few. As trainers, we've taught teams at NASDAQ, Imperial Brands, Accenture, Shell, UBS, Danske Bank, Pfizer, ASDA, Heineken, Hays, and Citigroup how to put data to work — not just talk about it.

Curious to see us in action? Check these out:

You can also follow us on LinkedIn for all the good stuff, or just hit our recruitment team at jobs@datapao.com

We're firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you're passionate about data and learning new things, you'll fit right in, and we'd love to hear back from you.

When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except those we use to run our recruitment process) and retain your application for 2 years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.