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 delivery, and focus aligning with business objectives;

• Mentoring people excites you - you have experience growing people by co-creating objectives aligned not only with the business plans but also with one's individual development plan. You generally get more satisfaction from helping others achieve than from achieving on your own;

• Proven track record of scaling up dynamic and high-performing teams - this means that you have experience with hiring and scaling up high-performance teams and culture and in fostering collaboration within your team and across the wider organization;

• Excellent communication skills - you can adjust your communication style and articulate technical concepts to all types of audiences, provide clear direction to teams, 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; 

• Pair Programming (~60 minutes) - this round will be run by two of our data engineers. In the first part of the session, we will cover hands-on programming, followed by discussions on business applications and opportunities;

• Architectural Design Interview (~60 minutes) - two of our data engineers will run this round. The scope is to assess your technical prowess in setting up scalable infrastructures;

• Cultural & Leadership Block (~90 minutes) - our CEO and Head of People will run this stage. The scope is to assess your leadership philosophy & skills and the likelihood of settling well into our community. It might consist of two back-to-back 45-minute blocks, or we might as well run it in one go of ~90 minutes.

What do we offer?

At DATAPAO, we're on a mission to build one of the world's best consulting companies in its field: data engineering and AI. As an engineering manager, you'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success.

Here is a list of some other extras we offer:  

• World-class educational benefits - there’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications. You'll also get dedicated time for learning during work hours and access to our internal library;

• Flexible working hours and PTO days - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done. Additionally, how many days you spend in the office is up to you. However, as a manager, we'd expect to spend face-to-face time with your team and mentor others recurrently. We believe this can be achieved only through a balanced in-person-remote ratio;

• 4 weeks of paternity leave - because we think it’s important for both parents to be there when it matters the most;

• Private Medical Insurance - we provide a private medical package via Generali;

• Employee Assistance Program (EAP) - through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person;

• Top-notch working equipment - working comfortably means working well. Therefore, you will get a MacBook Pro, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best; 

• The chance to shape our culture - overseeing people gives you a privileged position to influence how our organizational culture evolves over time;

• The opportunity to make an impact in a high transparency culture - open feedback and a no politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company and join the field of data and AI. We trust there is no better time than today to do so; 

• A cozy office in the heart of Budapest (close to Opera), well-stocked with snacks, drinks, coffee, and beverages. An annual team building, movie and wine-tasting nights with the team, and various community events are also on us.

About DATAPAO

At DATAPAO, we are delivery partners and the preferred training provider for Databricks, the creators of Apache Spark. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin and Logically to name just a few.

As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.

For more insights into DATAPAO, check the below links:

• Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
• Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
• "Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)

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

We’re strong 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 the ones we use to run our recruitment process) and keep your application for two 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.