Data Engineering Manager
Data Engineering Manager
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Job Description
At DATAPAO data ignites passion community fuels collaboration and growth knows no bounds. We are a leading Data Engineering and Data Science 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 and have achieved a second consecutive appearance on the Financial Times FT1000 list.
We are now looking for anEngineering 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 were 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 ones 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 roles 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 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 ability to design a scalable cloud based data platform;
- 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 were on a mission to build one of the worlds best consulting companies in its field: data engineering and AI. As an engineering manager youll 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 - theres no shortage of learning opportunities at DATAPAO meaning that youll 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 well pay for various data & cloud certifications. Youll also get dedicated time for learning during work hours and access to our internal library;
- Flexible working hours and PTO days - were 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 wed 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 its 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 youll 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.
Want to know more about us
DATAPAO is a data engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark and act as a delivery partner and training provider for them in Europe. 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 even more insights check the links below:
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at
Were 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 dont tick every box in the requirements. If youre passionate about data and learning new things youll fit right in and wed love to hear back from you.
When we hear back from you wed 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.
Required Experience:
Manager
Employment Type
Full Time
