Data/ Analytics Engineer

This is an exciting opportunity for a Data/Analytics Engineer to join a temporary position in London. The role involves working within the Analytics department of the Technology & Telecoms industry, focusing on data-driven solutions.

• Great opportunity for a Data Engineer with People Analytics experience
• Short term contract. Competitive Day Rate., * Design, build, and maintain ETL/ELT data pipelines supporting People Analytics use cases.
• Develop scalable models and schemas to integrate data from HRIS, ATS, learning platforms, engagement tools, and other people-related systems.
• Ensure data quality, governance, and security across sensitive HR datasets.
• Implement monitoring, testing, and automation to maintain robust pipelines.
• Partner with the People team to translate business questions into data requirements and technical solutions.
• Build self-service dashboards and metrics in tools such as Looker, Tableau, Power BI, or similar.
• Create standardised reporting frameworks for KPIs such as hiring funnel metrics, headcount, retention, performance, compensation, and DEI insights.
• Support modelling for workforce planning and scenario forecasting.
• Work cross-functionally with Data Engineering, Finance, Legal, and other stakeholders on shared datasets and processes.
• Provide technical thought-leadership on People data infrastructure and best practices.
• Communicate complex concepts clearly and concisely to non-technical HR stakeholders.

• Strong experience as a Data Engineer, Analytics Engineer, or BI Engineer, ideally with exposure to People Analytics or similar domains.
• Deep expertise with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks).
• Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar.
• Experience integrating data from HRIS and talent systems (e.g., Workday, BambooHR, Greenhouse, Lever, HiBob, Personio).
• Ability to work with highly sensitive data and ensure compliance with GDPR and internal security standards.
• Strong stakeholder skills and the ability to collaborate with HR partners and business leaders.
• Experience building People Analytics data models or dashboards.
• Exposure to Python for automation, testing, or pipeline orchestration.
• Understanding of workforce planning, organisational design, talent analytics, or People Operations data.

Our client is a fast-growing, product-led technology company with a global team and a strong culture of innovation. They're investing in data to support smarter decision-making as they continue to scale.