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.
Client Details
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.
Description
*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.
Profile
*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.
Job Offer
*£400-600 per day - IR35 status TBC
*London based - hybrid working
*6 month contract with potential for extension