Senior Data Engineer - HR Technology

Human Resources Department

Chennai, India

We are looking for a proactive Lead Data Engineer to coordinate technical delivery for a team within our HR Technology function. The role will act as the local delivery anchor between business stakeholders and global Technical SMEs, ensuring structured planning, clear prioritisation, and high-quality execution.

Alongside delivery ownership, this role brings extensive data engineering knowledge and experience —providing practical guidance on data pipelines, integrations, analytics, and governance, while coaching the team to deliver scalable and reliable HR data solutions.

Key Responsibilities

Data Project Leadership

• Own end-to-end delivery of HR data engineering initiatives—from solution design through build, testing, deployment, and stabilisation.

• Translate business and functional requirements into robust, scalable data architectures and pipelines.

• Lead design and implementation of data integrations, transformations, and analytics solutions across HR systems.

• Ensure alignment with global technical standards, architecture principles, and delivery plans.

• Proactively identify risks, dependencies, and bottlenecks; facilitate mitigation to ensure timely, high-quality delivery.

Team Leadership & Coaching

• Lead and coach a team of Data Engineers, Integration Analysts, and AI specialists.

• Provide practical technical guidance, code/design reviews, and mentoring to uplift team capability.

• Encourage a culture of ownership, continuous improvement, learning, and collaboration.

• Support workload planning, prioritisation, and execution across multiple parallel workstreams.

Stakeholder & Cross-Functional Collaboration

• Act as the primary technical point of contact for HR Technology stakeholders and delivery partners.

• Collaborate closely with global Technical SMEs, product owners, and vendors to ensure clarity and alignment.

• Communicate progress, risks, and outcomes clearly to senior stakeholders.

• Capture and map end-to-end business processes and data flows to support solution design and governance.

Governance, Quality & Compliance

• Ensure data solutions meet enterprise standards for security, privacy, compliance, and data governance.

• Facilitate disciplined delivery with modern engineering and delivery practices (Agile, DevOps, CI/CD).

• Ensure seamless integration with service management and operational support frameworks.

What we’re looking for

• Bachelor’s or Master’s degree in computer science, information systems, or related field

• Years of experience 10 -15 Years.

• Strong experience coordinating technical work across multiple roles and streams

• Experienced background in relational modelling and schema design, with experience creating, designing and optimizing relational databases

• Practical experience building and maintaining automated data workflows in Alteryx or a similar orchestration framework (e.g. Apache Airflow; Azure Data Factory; Data Bricks)

• Practical knowledge of cloud data ecosystems and an eagerness to deepen expertise – preference for Azure, while experience with AWS, GCP, Snowflake or similar is also valuable

• Good grasp of the data product lifecycle – from requirements gathering and design through development, testing, deployment and ongoing operations

• Ability to analyse business requirements and translate them into robust, well-documented data solution

• Background in integrations, data workflows, or enterprise automation

• Effective communication and partnership skills to act as a bridge between stakeholders and delivery groups

• Ability to track delivery milestones, flag risks, and ensure issues are addressed promptly

• Hands-on familiarity with modern delivery methods (agile, iterative development, DevOps) and related tools

Ideal candidate

• Proficiency in HR Technology platforms (e.g. Workday, SAP)

• Strong organizational and problem-solving skills

• Familiarity with HR and payroll data structures or similar sensitive, regulated data domains

• Experience with reporting and analytics tools such as Power BI

• Awareness of data governance and privacy standards

• Broader cloud administration knowledge, such as RBAC management, role assignments and privilege reviews, application / database patching, cost monitoring and resource health

• Exposure to modern data architecture concepts such as data Lakehouse, medallion architecture （Bronze/Silver/Gold）, or data mesh

• Comfortable coaching team members and promoting a collaborative environment

Who we are

Glencore is one of the world’s largest global diversified natural resource companies and a major producer and marketer of more than 60 commodities that advance everyday life. Through a network of assets, customers and suppliers that spans the globe, we produce, process, recycle, source, market and distribute the commodities that support decarbonisation while meeting the energy needs of today.

With over 150,000 employees and contractors and a strong footprint in over 35 countries in both established and emerging regions for natural resources, our marketing and industrial activities are supported by a global network of more than 50 offices.

Glencore’s customers are industrial consumers, such as those in the automotive, steel, power generation, battery manufacturing and oil sectors. We also provide financing, logistics and other services to producers and consumers of commodities.

Glencore is proud to be a member of the Voluntary Principles on Security and Human Rights and the International Council on Mining and Metals. We are an active participant in the Extractive Industries Transparency Initiative.

We will support the global effort to achieve the goals of the Paris Agreement through our efforts to decarbonise our own operational footprint. We believe that we should take a holistic approach and have considered our commitment through the lens of our global industrial emissions. Against a restated 2019 baseline, we are targeting to reduce our Scope 1, 2 and 3 industrial emissions by 15% by the end of 2026, 25% by the end of 2030, 50% by the end of 2035 and we have an ambition to achieve net zero industrial emissions by the end of 2050, subject to a supportive policy environment. For more information see our 2024-2026 Climate Action Transition Plan and the About our emissions calculation and reporting section in our 2023 Annual Report, available on our website at glencore.com/publications.​

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