Engagement Manager at DATAPAO

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

1800000.0

Posted On

21 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Client Relationship Management, Analytical Mindset, Problem-Solving Skills, Project Management, Cross-Team Collaboration, Communication Skills, Business Acumen, Engagement Management

Industry

Data Infrastructure and Analytics

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. TL;DR We are looking for a motivated Engagement Manager to join our team and take ownership of internal and external relationships, overseeing the delivery of data and AI consulting projects. In this role, you will serve as the primary point of contact for several internal stakeholders, oversee small and medium-sized engagements end-to-end, and collaborate closely with our clients and the sales and delivery teams to drive measurable value. The ideal candidate combines good client-facing skills, an analytical mindset, and a passion for turning business needs into successful outcomes. What will you do? You’ll be responsible for the engagement lifecycle, supporting successful delivery, driving value realization, and identifying opportunities for growth within accounts. Client Relationship & Satisfaction: Build and maintain trusted relationships with stakeholders, ensuring high satisfaction and proactive issue resolution. Gather and action customer feedback to continuously improve service quality. Engagement Success and Expectation Management: Actively participate in preparing project kickoffs to set clear expectations and define success. Co-operate with project managers related to ongoing projects to oversee delivery excellence, maximize customer outcomes, and safeguard commercial performance. Strategic Reporting & Analysis: Track, analyze, and report on key Sales metrics (revenue, backlog, project health, CSAT) to support strategic decision-making. Provide regular updates on project status and financial performance to stakeholders. Account Growth & Alignment: Identify opportunities to expand accounts by spotting unmet needs and coordinating with sales. Ensure seamless execution by translating pre-sales insights into actionable delivery plans. Process & Knowledge Improvement: Facilitate cross-functional alignment (sales, delivery, leadership) and knowledge sharing. Contribute to refining internal methodologies and best practices based on lessons learned from post-engagement reviews. Administration & Forecasting: Maintain accurate project and opportunity data in the CRM system, including stages and projected close dates. Responsible for project-level revenue forecasting. What will you bring? Experience: 3–5 years of experience in consulting, client engagement, account management, or delivery management in IT, data, or technology services. Problem-solving skills: Proactive in addressing challenges, removing roadblocks, and developing practical solutions to ensure project and client success. Client-facing skills: Strong ability to manage and grow client relationships, with proven experience handling multiple stakeholders. Business acumen: Understanding of project-level financials (bookings, revenue, backlog, profitability) and ability to report on performance metrics. Project/Engagement management: Familiarity with scoping, planning, and overseeing delivery of technology or data-related projects. Analytical mindset: Ability to interpret business metrics, client feedback, and delivery outcomes to identify improvement opportunities. Cross-team collaboration: Skilled in working across sales and delivery teams, ensuring smooth communication and alignment. Communication: Excellent verbal and written communication skills in English, with the ability to clearly present insights and recommendations. Flexibility: Comfortable balancing multiple accounts, managing changing priorities, and occasionally traveling. What will the selection process look like? Screening Interview (~45 minutes). One of our Recruiters will run it. The purpose is to better understand your motivation for the role and assess how you match the role's core requirements. Take-home Assignment. We’ll ask you to prepare a case-study about a current data and AI related topic. This allows you to demonstrate your way of thinking and communication skills, and show how you would drive success in the position. Panel Presentation (~60-90 minutes). During this round, you will we will discuss your take-home assignment submission and your professional experience with your future manager. Cultural Fit Interview (~60 minutes) with our Head of People. The focus will be on discussing more in-depth ways of working, debriefing your performance during the interview process, and pre-aligning on possible goals and focus post joining. How will we measure success in this role? Making an impact in this role will be a function of: Contributing to the success of all stakeholders, including Datapao and its internal and external customers. Building and maintaining trustful, long-term relationships. Continuously seeking opportunities to improve client satisfaction and delivering the best possible solutions for all stakeholders. Staying alert to upsell opportunities and being willing to go the extra mile to identify and pursue them. Supporting the development of the Sales process and ensuring smooth cooperation with the Presales and Consulting teams. Applying structured thinking and a well-organized approach to create and refine efficient processes, proactively shaping workflows even in emerging or newly developing areas. Coordinating both smaller and larger tasks effectively, and prioritizing across multiple parallel activities to ensure smooth execution and timely delivery. What do we offer? Educational benefits: A unique opportunity to switch to the world of data & AI. We'll grant you 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 PTO and Working Hours: We’re 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 DATAPAO's value propositions, we’d expect you to spend one day per week in the office on average. 30 Calendar Days of Paternity Leave (if applicable): We think it’s 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, you'll 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), it's designed to foster focus, creativity, and team connection. You'll find open spaces for group work, quiet corners for deep thinking, and plenty of natural light. It’s 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 The gross salary for this position ranges from 1 400 000 HUF/month to 1 800 000 HUF/month, depending on your assessed seniority level during the selection process. 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: 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 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 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. But if you want to know more about how we store and manage your data, check our privacy policy.

Responsibilities

The Engagement Manager will oversee the delivery of data and AI consulting projects, serving as the primary point of contact for internal stakeholders and clients. Responsibilities include managing the engagement lifecycle, ensuring client satisfaction, and identifying growth opportunities within accounts.