At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
YOUR ROLEWe are seeking a highly skilled Data Quality Engineer with expertise in automating data quality controls and monitoring systems. In this role, you will design and implement robust data quality processes that enable real-time visualization and control through dynamic dashboards. You will be responsible for identifying, addressing, and preventing data quality issues, ensuring seamless integration of monitoring frameworks, and creating automated solutions to maintain high data standards. Collaboration with cross-functional teams to enhance data observability and proactively resolve issues is key to your success in this position.
As a vital member of the team, you will leverage tools like Power BI, Plotly, or similar business intelligence platforms to create intuitive real-time dashboards. Utilizing your proficiency in programming (Python, SQL), you will implement data quality rules, and manage monitoring and alert systems for data quality. Develop monitoring systems and establish automated alert mechanisms. Your efforts will drive operational efficiency and data reliability, making a significant impact on decision-making processes across the organization. You must have ability to Solve large-scale data problems, such as duplicates and inconsistencies as well as maintain process efficiency and creating alarm statistics, to reduce the retroactive work associated with Data Quality Analysts and Process Engineers.
Your Profile
• Education: Bachelor’s degree in Data Science, Computer Engineering, Information Systems, or a related field.
• Experience: At least 3 years of experience in data quality engineering roles, with a proven track record in automation and dashboard development.
• Technical Skills: Proficiency in Python and SQL for automation and data quality rule implementation. Hands-on experience with BI tools such as Power BI, Grafana or Plotly for building dashboards. Familiarity with data quality and observability frameworks to manage monitoring and alert systems. Ability to work with process orchestration in Airflow.
• Soft Skills: Strong analytical and problem-solving skills, attention to detail, and the ability to communicate complex concepts effectively to both technical and non-technical stakeholders. A proactive and collaborative approach to improving processes and ensuring data excellence.
This role is ideal for someone who thrives on solving challenges in a data-driven environment and is passionate about delivering reliable and actionable insights through automation.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Apply now!