Senior Data Science & BI Engineering Lead (f/m) at Eurofins

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

26 May, 26

Salary

20000.0

Posted On

26 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Intelligence, Advanced Analytics, AI, Cloud-Native Data Ecosystem, Azure, Data Pipelines, Data Modeling, Enterprise Reporting, MLOps, Responsible AI, Power BI, Grafana, Python, PySpark, DevOps, Data Governance

Industry

Medical and Diagnostic Laboratories

Description

Company Description 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. Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies. Job Description Step into a pivotal role where you lead Eurofins into a new era of data-driven decision-making by redefining the organization’s approach to Business Intelligence, advanced analytics, and AI. As the key architect of a modern, cloud-native data and AI ecosystem, you shape the long-term vision while guiding the transition from legacy systems to scalable, secure, and efficient platforms. Your leadership fosters a culture of innovation, curiosity, and continuous improvement, ensuring every solution aligns with the principles of the Well-Architected Framework across reliability, security, cost efficiency, operational excellence, and performance. Mentoring and inspiring a cross-functional team of BI engineers, data scientists, and platform specialists becomes central to your work, encouraging the adoption of modern analytics practices, MLOps, and responsible AI. The role spans the entire data lifecycle: from designing and optimizing end-to-end pipelines to elevating structured data modeling and enterprise reporting into flexible, cloud-optimized solutions. AI and machine learning models come to life under your guidance, operationalized through Azure AI Foundry, PyTorch, TensorFlow, and similar platforms, then woven seamlessly into dashboards, decision workflows, and business services. An Azure-first landscape becomes your canvas, leveraging services like Azure Data Lake, Synapse, Key Vault, Azure ML, and Azure Fabric, alongside Power BI, Grafana, Python, PySpark, and DevOps pipelines. Ensuring scalability, observability, and security across the entire data ecosystem remains at the heart of your mission. The role also includes defining the e-commerce EDI and transactional integration strategy for Eurofins IT applications. Within a performance-oriented organization that values structured objectives and regular feedback cycles, your impact will shape both technological progress and team culture. Standard benefits for Permanent Employees in Romania: 13 monthly salaries per year (range for this position: 17000-20000 RON net / month) Meal Vouchers Gym Reimbursement Medical Subscription Health Insurance 25 days of holidays + 1 extra day off for your birthday Additional holidays for your loyalty Remote work activity Qualifications A bachelor’s degree or equivalent in computer science, data science, engineering, or a related discipline forms the foundation of your expertise, supported by over five years of experience across BI, data engineering, or data science—along with proven leadership responsibilities. Deep knowledge of both legacy BI environments and modern AI/ML workflows is essential, as is strong experience with Azure-based data architectures. Comfort with semantic models, curated datasets, and high-performance dashboards goes hand in hand with mastery of data warehousing, dimensional modeling, and governance. Demonstrated success in guiding technical teams through transformation, championing engineering best practices, and embedding responsible AI principles sets you apart. Familiarity with MLOps, model lifecycle management, and reproducibility is expected, while experience in regulated industries such as pharma or healthcare adds valuable context. A solid understanding of data privacy, access control, and compliance is highly beneficial, and exposure to Microsoft Fabric, event-driven architectures, or Snowflake technologies enhances your profile. Visionary thinking paired with hands-on pragmatism defines your leadership style. Clear communication, ease in navigating international collaboration, and a genuine passion for innovation equip you to thrive in a complex, fast-moving biotech environment—one where your contributions directly influence the strategic and scientific direction of a global organization. Additional Information We support your development! Do you feel you don’t match 100% of the requirements? Don’t hesitate to apply anyway! Eurofins companies are committed to supporting your career development. We embrace diversity! As an Equal Opportunity Employer, the Eurofins network of companies believes in strength and innovation through diversity. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique. Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we count on our dedicated carbon reduction team to help us to achieve this goal! Find out more on our Careers page: https://careers.eurofins.com/ Company description: 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 ca. 63,000 staff across a decentralised and entrepreneurial network of more than 950 laboratories in over 1,000 companies across 60 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. #LI-REMOTE

Responsibilities

This pivotal role involves leading the organization's transition to a modern, cloud-native data and AI ecosystem, shaping the long-term vision for Business Intelligence and advanced analytics. The lead will mentor a cross-functional team, operationalize AI/ML models using platforms like Azure AI Foundry, and optimize the entire data lifecycle from pipelines to reporting.