Overview

An experienced, hands-on Data Engineer is sought to join the Global People Analytics team.

Responsibilities

• Act as a permanent, long-term technical owner for the Databricks platform, ensuring knowledge is retained once contract resources exit.
• Support the migration of existing data pipelines and models, such as Workday PRISM, into the Databricks environment.
• Maintain, monitor, and optimise Databricks pipelines after implementation, and support broader People Analytics data engineering work as it arises.
• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
• Write clean, efficient, and well-documented code and ETL/ELT processes, ensuring data is dependable, accurate, and delivered in a timely manner.
• Work with information technicians, data scientists, and product managers to understand requirements, translate business needs into tangible engineering outcomes, and deliver actionable data solutions.
• Participate in code reviews, sprint planning, project lifecycles, and retrospectives as part of the Global People Analytics team.
• Safeguard end-to-end data at rest and in transit through security, encryption, and access protocols, and monitor data pipelines to resolve issues in a timely, systematic manner.
• Evaluate and prototype AI agents and GenAI tools, such as LLMs, code generation, and automated anomaly detection, to accelerate dashboard development and reduce manual fix overhead
• And work with data scientists to identify scalable AI use cases such as self-service data quality monitoring and automated root-cause analysis.
• Document data sources, data models, transformations, architecture design, and protocol standards, as well as patterns, findings, and standard processes for responsible AI use, ensuring security, governance, and ethical standards are maintained
• Advocate for strong enterprise data adoption, servicing, and ethical use, and research new data sources, methodologies, software adoption, and industry standards.

Qualifications

• Minimum 3 years' experience in data engineering, analytics engineering, or software engineering with a focus on data.
• Proven background in data modelling, methodologies, and security design.
• Strong SQL skills and familiarity with at least one programming language.
• Hands-on and recent experience of Big Data, data warehousing, and ETL/ELT routines and concepts.
• Familiarity with GenAI tools and LLMs, such as Claude and Copilot, and curiosity about how they can enhance data workflows.
• Interest in exploring agent-based analytics and automation to solve recurring data problems.
• Solid attention to detail with a drive for service excellence.
• Oral and written communication skills, with the ability to translate technical concepts for non-technical audiences and vice versa.
• Excellent problem-solving and critical thinking skills, with the ability to solve complex data pipeline activity and performance optimisation.

Nice to have

• Hands-on experience with Databricks, including Lakehouse architecture, Delta Lake, notebooks, and workflows.
• Prior integration experience with HCM systems.
• Previous hands-on experience of Workday PRISM.
• Experience with HR systems, with Workday preferred, and understanding of HR data models and business processes.
• Previous experience working with cloud-based data platforms such as AWS, GCP, or Azure.
• Experience with Tableau, specifically data foundation design via Server, Pulse, etc.
• Hybrid model: 2 office days per week.

Benefits

• Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling.
• Career growth through Internal Mobility Programs.
• Comprehensive health insurance for you and dependents.
• Well-Being Fund and 24/7 Assistance Program for holistic wellness.
• Hybrid model: 2 office days per week with flexible leave policies, including maternity, paternity, and sabbaticals.
• Free meals, cab allowance, and a home office setup allowance.
• Employer PF contribution, gratuity, personal accident and life insurance.
• Sharesave Plan to purchase discounted company shares.
• Volunteering leave and team events to build connections.
• Recognition through the Kudos Platform and Referral Rewards.