Data Architect

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.

The Eurofins network of companies believes that it is a global leader in food, environment, pharmaceutical and cosmetic product testing and in discovery pharmacology, forensics, advanced material sciences and AgroScience contract research services. It is also one of the market leaders in certain testing and laboratory services for genomics, and in the support of clinical studies, as well as in biopharma contract development and manufacturing. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.

In over 37 years, Eurofins has grown from one laboratory in Nantes, France to over 65,000 staff across a decentralised and entrepreneurial network of more than 950 laboratories in over 1,000 companies across 59 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.

In 2024, Eurofins generated total revenues of EUR 6.95 billion; and has been among the best performing stocks in Europe over the past 20 years.

SUMMARY OF POSITION AND OBJECTIVES:

We are looking for a strong Data Architect with deep expertise in SSIS, SQL Server, Azure modernization, and real-time data streaming. The role will be responsible for leading data engineering initiatives, modernizing legacy ETL platforms, and designing scalable cloud-native data solutions.

• Lead the design, development, and optimization of SSIS packages, SQL Server stored procedures, complex queries, data models, and ETL workflows for enterprise-scale applications.
• Drive modernization of legacy data platforms by migrating or re-engineering SSIS/SQL-based solutions to Azure Data Factory, Azure SQL, Synapse, Databricks, Event Hubs, and related Azure services.
• Architect and implement real-time and near-real-time streaming data pipelines using Azure streaming technologies, ensuring high performance, reliability, monitoring, and fault tolerance.
• Provide technical leadership to the development team by reviewing designs, guiding implementation, enforcing best practices, and ensuring code quality, performance, scalability, and maintainability.
• Collaborate with business analysts, architects, product owners, and cross-functional teams to understand requirements, estimate effort, plan delivery, and translate business needs into robust technical solutions.
• Own technical problem-solving for production issues, performance bottlenecks, data quality challenges, and platform modernization risks, while mentoring team members and supporting continuous improvement.

Technology skills:

• SQL.
  
  SSIS, SSRS,
• Azure Data Factory, Azure Eco System.
• Added Preference: Kafka, Debezium

Personal Skills:

• Excellent analytical and problem-solving skills, passionate in adopting AI to workflows.
• Excellent verbal/written communication skills. Fluent in English and the working country language
• Should be a self-motivated, independent, detail oriented, responsible team-player and exhibit exceptional relationship management skills.