Data engineer for revenue management

XTEL is a leading global revenue management solutions provider for consumer goods companies (CPG). We help our clients' businesses grow smarter, every day, through our holistic and proven digitalisation and change management approach. By combining state‑of‑the‑art technology, deep industry expertise, and a proven approach to data and change management, XTEL's Revenue Management suite supports CPGs towards value realisation and profitable revenue growth

• Perform the technical configuration and initial setup of XTEL's AI solutions for new clients, ensuring a smooth and accurate onboarding experience.
• Handle bug fixes, system upgrades, and scheduled health checks to keep client installations running reliably and efficiently.
• Analyse and implement special maintenance tasks and change requests, adapting software configurations to meet evolving client needs.
• Manage and resolve client needs and technical issues through a structured ticketing system, ensuring timely and effective responses.
• Monitor and maintain the integrity of data sources, pipelines, and delivered solutions; lead troubleshooting and debugging workflows to resolve incidents proactively.
• Work closely with Project and Product teams to report solution feedback, flag recurring issues, and contribute to continuous improvement of XTEL's platform.
• Contribute to a proactive delivery culture by identifying risks early, documenting findings, and supporting the development of scalable operational processes.

• Bachelor's or Master's degree in Computer Science, Engineering, a STEM discipline, or a related field.
• 3-5 years of relevant experience in Data Management, Data Science or Analytics.
• Proficiency in Python and SQL, with hands-on experience using data manipulation libraries (NumPy, pandas).
• Proficiency in English (written and spoken).
• Solid understanding of coding practices and software development fundamentals.
• Demonstrated ability to work in a client-facing technical environment, managing both scheduled and unplanned tasks.
• Client-oriented mindset: You approach client interactions with empathy, patience, and professionalism — understanding that behind every ticket is a business need that matters.
• Clear communicator: You can translate technical findings into plain language for non-technical stakeholders, and you know when to escalate versus when to resolve independently.
• Proactive and ownership-driven: You take initiative, follow through on commitments, and flag issues early rather than waiting to be asked.
• Collaborative team player: You thrive in cross-functional environments, building trusted relationships with colleagues across Project, Product, and Client teams.
• Adaptable and curious learner: You embrace new tools, processes, and domains with a can-do attitude, and you are comfortable navigating ambiguity in a fast-paced, evolving environment.
• Detail-oriented and reliable: You take quality seriously — whether it's a data validation, a bug fix, or a client-facing update — and you consistently deliver work that others can depend on.
• Будет плюсом: Strong analytical skills with a critical thinking and problem-solving mindset; Effective communication and collaboration skills, with the ability to work across technical and non-technical teams; Familiarity with DevOps practices and the Azure Cloud ecosystem; Exposure to data management, data science, or analytics in a professional context

• Hybrid working set-up (HQ in Leuven) or Remote;
• Flexible working hours;
• Competitive Salary Package ;
• A challenging role in a fast-growing AI-driven company;
• A diverse and international team with strong ownership and a can-do mentality.
• Opportunities to contribute meaningfully to the organization’s growth and development.