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Job Title


Data Engineer


Company : Halma plc


Location : Bengaluru, Karnataka


Created : 2026-01-29


Job Type : Full Time


Job Description

It's fun to work in a company where people truly BELIEVE in what they are doing!We're committed to bringing passion and customer focus to the business.About Us:Halma is a global group of lifesaving technologies companies, driven by a clear purpose.We are an FTSE 100 company with headquarters in the UK and operations in 23 countries, including regional hubs in India, China, Brazil, and the US.Our diverse group of nearly 50 global companies specialise in market leading technologies that push the boundaries of science and technology.For the last 42 years, the combination of our purpose, strategy, people, DNA and sustainable business model has resulted in record longterm growth in revenues and profits and an increase in dividend by ≥ 5% every year– an achievement unrivalled by any company listed on the London Stock Exchange.Why join us?We are a Great Place to Work® certified organisation, with an employee centric culture anchored on autonomy, trust, respect, humility, work-life balance, team spirit, and approachable leadership.We offer a safe and respectful workplace, where everyone can be who they ‘REALLY’ are, feel free to bring their whole selves to work and use their unique talents, knowledge, expertise, experiences, and backgrounds to create meaningful outcomes.We nurture entrepreneurial spirits and empower them to think beyond the possibilities, to discover, shape and build their own unique stories. We promote and support non-linear career growth for the right talent.About Halma company Fortress Safety:We specialise in machinery safety and interlocking, delivering life-saving solutions that protect people working on and around machinery globally since 1977. Our market-leading products help prevent machine operators from accessing hazardous areas within machinery or ensure procedures are enforced. These solutions are used across a wide range of industries, including automotive, food and beverage, power infrastructure, metal production, and others.Fortress is part of Halma PLC, a specialist market leader in safety, health and environmental technologies. Listed on the FTSE 100 in London, Halma has annual sales in excess of £1.6 billion per annum and employs approx. 6,300 employees across 50 companies in more than 20 countries worldwide. Halma’s purpose is growing a safer, cleaner and healthier future for everyone every day. Find out more about us at and Objective (The purpose of role in current business/market scenario):We are seeking a highly skilled and motivated Data Engineer to join our IT team. The successful candidate will be responsible for setting up a Microsoft Fabric environment and creating datasets using ETL (Extract, Transform, Load) processes. This role requires a strong understanding of data engineering principles, excellent problem-solving skills, and the ability to work collaboratively with cross-functional teams.Responsibilities (KRAs / deliverables / job expectations):- Design, implement, and maintain a Microsoft Fabric environment to support data analytics initiatives. Including Building Power BI reports. - Develop and manage ETL processes to extract, transform, and load data from various sources into the data warehouse. - Create and maintain datasets that are optimised for performance and scalability. - Collaborate with analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs. - Ensure data quality and integrity by implementing best practices for data governance and management. - Monitor and troubleshoot data pipelines to ensure seamless data flow and timely availability of data.Academic qualification:- Bachelor’s degree in engineering, Diploma of higher education or equivalentExperience (exposure):- 6+ Years of related experience in Data Engineering or in a similar role. - Knowledge of Microsoft Fabric (or similar system) and ETL processes. - Experience with cloud platforms such as Azure or AWS. - Understanding of machine learning concepts and techniques.Key attributes (critical functional competencies):- Stay up to date with the latest trends and technologies in data engineering and analytics. - Strict adherence to Policies and Procedures. - Proficiency in SQL and experience with data warehousing concepts. - Familiarity with data visualisation tools such as Power BI or Tableau.Competencies (fundamental skills and attitudes):- Excellent problem-solving skills. - Attention to detail. - Strong communication and collaboration skills. - Independent thinker. - Strong quality orientation. - Strong learner and risk taker.