Jobherder
  • How it works
  • Pricing
  • Sample output
  • Jobs
  • Blog
  • Help
Log inTry a free sample

← All jobs

EU remote

Data Engineering Manager

DATAPAOBudapestPosted 2 Aug 2026

Start a search — €9.99Apply on employer site

About this role

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.

Jobherder

Stop searching. Start applying.

Product

How a search worksPlans and pricingExample deliveryJob board

Resources

ArticlesHelp centreFor recruitersAgentsAffiliate programme

Features

CV tailoringRemote job searchCareer change

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. Leadership skills Motivated to lead and grow people - whether you're already experienced in managing teams, or you've grown into leadership through informal experience such as leading a project team or owning delivery for a group of people, you're ready to take on the responsibility of leading and supporting a team; Mentoring people excites you - this could mean you've already co-created goals and development plans with a team, or you've supported and mentored colleagues informally and are excited to grow this into a more structured leadership role; Keen to build strong teams and culture - you may have already helped hire and grow high-performing teams, or contributed to team culture and collaboration in less formal ways, such as onboarding new colleagues or driving process improvements - either way, you're ready to help raise the bar across your team and the wider organization; Excellent communication skills - you can adjust your communication style, articulate technical concepts to all types of audiences, and ensure transparent communication across all levels.

What will the selection process look like? Screening Interview (~60 minutes) - our Technical Recruiter will run it. The purpose is to get to know you better and assess how you match the role's core requirements. This is also your chance to learn more about DATAPAO and our business model; Technical Interview (~90 minutes) - this round will be run by two senior data engineers. Depending on your background, we will run the session in one of the following setups: If you have Data Engineering experience, this session covers cloud fundamentals, core data engineering concepts, hands-on coding, and a problem-solving exercise or, If you come from a Software Engineering background, this session covers cloud fundamentals, software engineering principles, hands-on programming, and a problem-solving exercise.

</

Source listing: greenhouse_datapao

Prefer jobs chosen for you?

Upload your CV and Jobherder returns handpicked roles with a tailored CV and cover letter for each — built from your real experience.

Start a search — €9.99

© 2026 Jobherder

PrivacyTermsSupport