Analytics Engineer (People Team)

CompanyMichael Page

LocationCity Of London, England, United Kingdom

Posted At2/26/2026

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Occupation Type

Metal working machine operatives

Occupation Code Skill LevelIneligible

Sponsorship EligibilityIneligible for Sponsorship

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Description

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

Databricks experience essential
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

Databricks experience essential
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