Glencore - Technical Delivery Lead/Senior Data Engineer - HR Technology

Key Responsibilities :

- 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; drive mitigation to ensure timely, high-quality delivery.

Team Leadership & Coaching :

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

- Provide hands-on technical guidance, code/design reviews, and mentoring to uplift team capability.

- Foster 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.

- Drive disciplined delivery using modern engineering and delivery practices (Agile, DevOps, CI/CD).

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

Looking for :

- Bachelors / masters degree in computer science, information systems, or related field

Years of experience : 10 Years -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 optimising 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

- Excellent communication and collaboration skills to serve as a link between stakeholders and delivery teams

- Ability to track delivery milestones, flag risks, and ensure issues are addressed proactively

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

Ideal candidate :

- Expertise 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