Technical Project 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 two consecutive appearances on the Financial Times FT1000 list.

We are currently looking for a Technical Project Manager to join the Project Management Office and help build and scale our Consulting Delivery function.

What exactly will you do

You will manage big data cloud engineering and machine learning projects for our EMEA customers.

More precisely you will:

• Lead end-to-end customer projects ensuring a seamless experience from kick-off to project closing. This involves among other things managing the project and team day-to-day handling customer communications resolving escalations and identifying opportunities to increase customer satisfaction and drive value creation.
• Ensure the overall project success by ensuring the scope objectives deadlines and budget are met for a complex customer portfolio. This involves but is not limited to taking the lead on customer interactions coordinating stakeholders documenting and administering project scope goals deliverables and resource allocation in collaboration with other internal teams such as Sales Engineering and AI.
• Identify monitor and mitigate project risks; resolve customer issues and complaints; and manage the timely escalation of complex cases.
• Initiate and drive cross-functional internal projects to improve delivery efficiency or the customer experience.
• Champion a customer-centric solution-driven culture within DATAPAO and promote a customer-first mindset across all project teams.
• Establish standards and ensure compliance with project management standards methodologies and best practices.

What does it take to fit the bill

• You have a proven track record of managing complex software-adjacent projects - ideally within data engineering AI or cloud infrastructure. You are highly technical and comfortable navigating the intricacies of the SDLC. Hands-on software development experience is a big plus.
• Proven experience in managing end-to-end large-scale projects involving multiple stakeholders regions and functions (e.g. data migrations or enterprise-level transformations).
• Strong interpersonal skills assertiveness curiosity and strategic influencing meaning that you can build relationships and trust across all levels and audience types.
• Youre results-driven and committed to high-quality service. At DATAPAO we practice an outcome-driven mindset and believe world-class consulting can only be achieved by striving for excellence in everything we do.
• You demonstrate strong ownership responsibility and accountability so you can work and prioritize (under pressure) between concurrent requests and projects are highly independent in your work and bring in a solution-driven mindset. These traits are must-haves for this role and at this seniority level. As PM you are responsible for overall project success.
• Youre particularly good at conflict resolution rallying various parties toward a common goal and pivoting on the go. After all this is a relationship business that moves with high velocity.
• Youre passionate about delivering enviable customer experiences highly organized and detail-oriented.
• Proven knowledge and track record with project management frameworks and CRM tools/methods (e.g. Agile Scrum Waterfall SFDC Productive Asana Google Sheets and Slides).
• Professional fluency in written and verbal English (acquired preferably by working with a Western European client base).
• Project management certification (e.g. PMP or PRINCE2) is a definite plus.

What do we offer

• 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 PTO and Working Hours: Were flexible about your working routine and how many days you take off if it does not conflict with customer success company goals and the work you do.
• Flexible Office: It is up to you which days you spend in the office. However as a strong community is one of DATAPAOs value propositions wed expect you to spend one day per week in the office on average.
• 30 Calendar Days of Paternity Leave (if applicable): We think its essential 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 psychological 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 a Herman Miller office chair standing desks in the office and whatever else is needed to give your best.
• The chance 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 to work with cutting-edge technologies and to help some of the biggest and most innovative companies in the world sort out their data puzzles.
• A cozy and modern office in the heart of Budapest: Located in a vibrant central part of the city (Opera/Oktogon) its designed to foster focus creativity and team connection. Youll find open spaces for group work quiet corners for deep thinking and plenty of natural light. Its well-stocked with snacks drinks coffee and beverages. Optional Friday evening beers movie and wine-tasting nights with the team are also on us.

Total compensation

For this role our gross monthly salary ranges fromtoHUF depending on your assessed seniority level during selection.