Eurofins: Data Platform Engineer — Bengaluru, KA, India

About Eurofins

Eurofins provides analytical testing and laboratory services across life sciences and other industries. Its work includes assessing food, water, pharmaceutical and cosmetic products for qualities such as safety, authenticity, composition and accurate labelling. The employer also describes activities in genomics, clinical-study support, biopharmaceutical development and manufacturing, and diagnostic testing. Scientific methods and dependable information are central to this business, supported by the technology and operational functions used to deliver laboratory services.

The position and its setting

Eurofins lists Data Platform Engineer in Bengaluru, KA, India, under reference REF81807O. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: IT
• Employment type: Full-time
• Employer listing date: 5 October 2026
• Legal Entity: CIN004 - Eurofins IT Solutions India Pvt Ltd.
• Contract Type: Permanent
• Business Lines: Corporate
• Brands: Eurofins GSC IT DC

Responsibilities and work described

• Job Title: Data & AI Platform Engineer
• We are transforming laboratory operations toward a fully digital, data-driven and increasingly intelligent laboratory environment
• The Data & AI Engineer – Digital Laboratory will build and operate the data and automation foundations that enable this transformation
• The primary focus of the role is data engineering: designing reliable data pipelines, integrating laboratory and enterprise systems, building data-lake/lakehouse capabilities, developing analytics-ready data models, and automating data flows into platforms such as Power BI
• At the same time, the role will have exposure to AI, machine learning, intelligent automation and emerging technologies, helping turn laboratory data into actionable insights and new digital capabilities
• This is therefore not a traditional data-engineering role focused only on back-end data fixes
• Work: directly on projects aimed at eliminating manual paperwork, reducing unnecessary clicks and repetitive workflows, improving laboratory efficiency, and creating the foundation for AI-enabled laboratory operations
• 1
• Building: the Digital Laboratory Data Foundation
• Design, develop and maintain data pipelines connecting laboratory, IT and enterprise systems
• Building: and evolve data lake/lakehouse architectures for laboratory and operational data
• Development: robust ETL/ELT processes using APIs, databases and other supported integration mechanisms
• Transform raw laboratory data into structured, reusable and analytics-ready datasets
• Development: scalable data models supporting reporting, analytics, automation and future AI/ML applications
• Establishment: data-quality checks, monitoring, logging and error-handling mechanisms
• Improvement: data availability, reliability, performance and traceability

Essential requirements and candidate background

• Essential
• Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, Engineering or a related field
• 5–10 years of experience in data engineering, analytics engineering, integration engineering or a closely related discipline
• SQL skills and practical experience working with relational databases
• Python skills for data processing, automation and integration
• Experience designing and maintaining ETL/ELT pipelines
• Experience: cloud data platforms and/or data lake/lakehouse architectures
• Experience: Power BI, including data preparation and data models
• Experience working with REST APIs and system integrations
• Experience: Git and modern software-development practices
• Understanding: data quality, monitoring, logging and production support
• Translate business/process problems into practical technical solutions
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related Engineering field

Experience and professional background

• Within the first 12–18 months, success could look like:

Preferred experience and additional strengths

• Experience: Azure data services or equivalent cloud platforms
• Experience: Databricks, Microsoft Fabric, Azure Data Factory or similar technologies
• Experience: laboratory, scientific, manufacturing, healthcare or pharmaceutical data
• Experience: laboratory applications and information systems
• Experience: AI/ML projects or MLOps
• Experience: LLMs, RAG, AI agents or AI APIs
• Experience: Power Automate, RPA or workflow automation
• Knowledge: GMP, CSV or data-integrity principles
• Experience working with regulated environments
• We do not expect you to be an expert in every technology listed above
• Data-engineering fundamentals and the ability to learn quickly are more important
• What makes this role different

Location, schedule and contract conditions

• Work mode: Hybrid
• Shift timings: 12:00 PM to 9:00 PM IST
• Work arrangement: Hybrid
• Advertised location: Bengaluru, KA, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Data Platform Engineer vacancy is not an offer for reference REF81807O; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Eurofins

Applications follow the official employer page linked below.

Open the official Eurofins posting below and match the title and reference REF81807O.

Compare your qualifications and experience with the essential conditions for the Bengaluru, KA, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Azure
• REST APIs
• APIs
• AI/ML
• LLMs
• GMP
• Git
• Power BI
• data analysis
• machine learning
• AI