Summary
Written in English from the original postingThe Group Data Quality Engineer Sales and Finance is responsible for ensuring the quality, consistency, and reliability of Sales and Finance data products. The role designs automated data quality controls, monitoring, governance standards, and pipeline integrations. It also partners with business and technical teams to analyze anomalies, remediate issues, and support trusted data-driven decision-making.
Job description
Join Axians, where innovation thrives on trust and autonomy, and where every challenge is an opportunity to create technology with impact.
Group Data Quality Engineer Sales & Finance
What We Are Looking For
We are looking for a Group Data Quality Engineer Sales & Finance your mission is to ensure the quality, consistency, and reliability of Sales & Finance data products that support strategic decision-making. You will work closely with business and technical teams to develop data quality controls, improve data governance, and deliver trusted insights across the full business lifecycle, from leads and customer acquisition to pricing, revenue, costs, profitability, and financial reporting. You will operate at the intersection of data quality, analytics, engineering, and business processes, helping to build a scalable and data-driven organization.
What You Will Do on a Daily Basis
Design, implement, and continuously improve group-wide data quality controls for Sales and Finance data products, covering completeness, accuracy, consistency, validity, timeliness, and uniqueness;
Translate business rules and requirements into measurable data quality rules, automated tests, monitoring, and alerting;
Build and maintain data quality dashboards, scorecards, issue logs, and service-level indicators that providetransparent reporting across countries and business functions;
Analyse data anomalies and recurring quality issues, perform root-cause analysis, and coordinate sustainable remediation with data owners, source-system teams, and data product teams;
Embed automated data quality checks into data pipelines and development processes, ensuring that defects are identified early and prevented from reaching downstream reports, analytics, or AI use cases;
Define and maintain critical data elements, validation standards, quality thresholds, ownership, and escalation paths in line with the group data governance framework;
Partner with Sales and Finance stakeholders to improve the reliability of customer, lead, revenue, parcel volume, pricing, cost, profitability, and financial reporting data;
Contribute to shared engineering standards, documentation, and reusable data quality components across the decentralised group data platform. developer experience, engineering standards, reusable templates, and production readiness for AI software delivery.
Your Main Qualifications
Degree in computer science, business informatics, data engineering, mathematics, finance, industrial engineering, or a comparable field;
Several years of practical experience in data quality, data engineering, analytics engineering, or a comparable datafocused role;
Strong SQL skills and hands-on experience with data profiling, validation, reconciliation, root-cause analysis, and automated testing;
Experience with modern cloud data platforms and data pipelines, ideally Snowflake, including data modelling and transformation frameworks;
Knowledge of data quality dimensions, controls, monitoring approaches, metadata, lineage, and data governance principles;
Understanding of Sales and Finance processes and data, such as customer and lead management, revenue, pricing, costs, profitability, planning, and financial reporting;
Experience with scripting or programming, preferably Python, and with version control, continuous integration, and deployment practices;
Ability to convert complex business definitions into clear, testable rules and to communicate quality issues in a business-oriented way;
Strong analytical problem-solving skills, attention to detail, and a structured, proactive, and independent working style;
Confidence in collaborating across business functions, countries, and technical teams and in driving issues to sustainable resolution;
Practical experience in leveraging AI tools to support data profiling, quality analysis, anomaly detection, root-cause analysis, documentation, and the efficient delivery of data engineering tasks;
Very good English skills; German or another European language is an advantage.
What We Offer
Stable professional career
Working with Axians projects becomes an asset to those of us who want to offer stability through a secure career.
Prospects for career advancement
You can access training and new certifications that will further elevate your skills. The 360° evaluation from managers and peers will also allow you to evolve.
Work Life Balance
By collaborating with Axians, you will be able to reconcile work and family requirements without neglecting either area.
Attractive, evolving compensation
When working with Axians, you will have access to performance bonuses in addition to an attractive salary pack (base salary + benefits). You are also entitled to health insurance and an employee assistance program for you and your family (Psychological, Legal, Psychosocial, and Financial support).
Axians is the VINCI Energies brand dedicated to Information Technology and Digital Transformation. With an international presence and a people-to-people approach, we combine technology, innovation, and proximity to create real impact for organizations and society.
Join Axians
At Axians, we believe that talent does not fit a single profile. We value diversity and promote an inclusive environment where everyone has the opportunity to grow and contribute. If you have a disability or impairment, we are committed to ensuring equal opportunities throughout the recruitment and onboarding process. Whenever needed, we provide reasonable accommodations so that you can participate on an equal basis. If you require any accommodation, please let us know by contacting us at [email removed].
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