Eurofins Software Engineer \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Software Engineer Contract 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 the environment safer, healthier and more sustainable. From the food you eat to the medicines you rely on, Eurofins works 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 a global leader in food, environmental, pharmaceutical and cosmetic product testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies. In over just 35 years, Eurofins has grown from one laboratory in Nantes, France to 62,000 staff across a network of over 1,000 independent companies in 61 countries, operating 900 laboratories. Performing over 450 million tests every year, Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products, as well as providing innovative clinical diagnostic testing services, as one of the leading global emerging players in specialised clinical diagnostics testing. Eurofins is one of the fastest growing listed European companies with a listing on the French stock exchange since 1997. Eurofins IT Solutions India Pvt Ltd (EITSI) is a fully owned subsidiary of Eurofins and functions as a Global Software Delivery Center exclusively catering to Eurofins Global IT business needs. The code shipped out of EITSI impacts the global network of Eurofins labs and services. The primary focus at EITSI is to develop the next generation LIMS (Lab Information Management system), Customer portals, e-commerce solutions, ERP/CRM system, Mobile Apps & other B2B platforms for various Eurofins Laboratories and businesses. Young and dynamic, we have a rich culture and we offer fulfilling careers. Job Description Software Engineer Data, AI & BI / Full Stack Experience: 25 Years Location: Bangalore Position Type: Full-time Overall Objective Assist in the development and maintenance of BI, data engineering, and AI-assisted solutions within a modern Azure cloud-native ecosystem. Support integration of intelligent automation and analytics into existing business processes by collaborating with SSEs and Technical Leads to deliver secure, scalable, and high-quality solutions. Roles & Responsibilities Assist in building data pipelines for ingestion, processing, transformation, and reporting. Develop, maintain, and enhance Power BI dashboards and reporting solutions under guidance. Write and optimize SQL queries, stored procedures, and database performance improvements. Support development of Azure-based cloud solutions, including Data Lake, Synapse, Azure Functions, etc. Contribute to integrating AI-based services and APIs to enhance business processes and decision-making workflows. Use Python or C# for scripting, automation, backend logic, or model/API integration. Help troubleshoot production and pipeline issues and resolve incidents with root-cause analysis. Participate in Agile sprints, daily scrums, and deliver features in collaboration with cross-functional teams. Follow coding standards, DevOps practices, and maintain documentation. Required Skills & Experience 25 years of experience in data engineering, BI development, or full-stack engineering. Strong hands-on experience with SQL and relational databases. Experience building dashboards with Power BI or similar visualization tools. Experience working with Azure Cloud Services (Data Lake, Synapse, Functions, Key Vault, etc.) Good working knowledge of Python and/or C# for scripting and backend development. Experience integrating AI/ML services or models via APIs, or practical exposure to AI-driven business enhancements. Understanding of Agile methodology and collaborative development practices. Good to Have Hands-on exposure to MLOps, model lifecycle management, or data science pipelines. Experience in regulated domains like healthcare or pharma. Familiarity with Microsoft Fabric, Snowflake, Event-driven streaming platforms. Personal Attributes Quick learner with curiosity and strong problem-solving mindset. Strong team player with ability to take guidance and deliver quality work. Passion for innovation and continuous learning. Proactive, responsible, and motivated towards modern engineering practices. Additional Information Personal Skills: Excellent analytical and problem solving skills Excellent verbal and written communication skills Ability to articulate and present different points-of-views on various topics related to project and otherwise. Eager to learn and continuously develop personal and technical capabilities. Required Qualifications: MCA or Bachelors in Engineering, Computer Science or equivalent. PERFORMANCE APPRAISAL CRITERIA: Eurofins has a strong focus on Performance Management system. This includes quarterly calibrations, half-yearly reviews and annual reviews. The KPIs shall be set and may vary slightly between projects. These will be clearly communicated, documented during the first 30 days of your joining. 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The role requires 25 years of experience in data engineering, BI development, or full-stack engineering. Strong hands-on experience with SQL and relational databases is necessary, along with experience building dashboards with Power BI or similar visualization tools. Candidates must have experience working with Azure Cloud Services such as Data Lake, Synapse, Functions, and Key Vault. Good working knowledge of Python and/or C# for scripting and backend development is also required. Experience integrating AI/ML services or models via APIs, or practical exposure to AI-driven business enhancements, is needed. An understanding of Agile methodology and collaborative development practices is expected. A Master of Computer Applications (MCA) or a Bachelor's degree in Engineering, Computer Science, or an equivalent qualification is required.