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ProSapient

Analytics Engineer (Data Platform)

London·Hybrid·1w ago

Salary

Competitive salary

Work type

Hybrid

Level

mid

Category

Data Engineering

About the role

Description

Every day, somewhere in the world, important decisions are made. Whether it is a private equity company deciding to invest millions into a business or a large corporation implementing a new strategic direction, these decisions impact employees, customers, and other stakeholders.

Consulting and private equity firms come to proSapient when they need to discover knowledge to help them make great decisions and succeed in their goals. It is our mission to support them in their discovery of knowledge.

We help our clients find industry experts who can provide their knowledge via interview or survey: we curate this knowledge in a market-leading software platform; and we help clients surface knowledge they already have through expansive knowledge management.

We’re looking for an Analytics Engineer to take ownership of our data platform within our small, high impact Data & Analytics team.

You’ll work closely with the Head of Data & Analytics and a Commercial Data Analyst, playing a key role across the full data lifecycle - from ingestion and modelling through to self-serve analytics and stakeholder delivery.

This is a hands-on, high-ownership role. You’ll own our dbt environment and warehouse, shape how data is modelled and used across the business, and help move us towards a scalable, self-serve analytics culture.

You’ll also have the opportunity to explore how AI and modern tooling can improve both internal workflows and how stakeholders interact with data.

Our data stack:

  • PostgreSQL data warehouse (AWS-hosted)
  • AWS DMS & Fivetran (data ingestion)
  • dbt Cloud (Enterprise)
  • Tableau Server

Key duties in this role will include:

Own and scale the data platform:

  • Own the day-to-day health and performance of our dbt Cloud environment and PostgreSQL warehouse

  • Design, build, and maintain scalable, analytics-ready data models using best practices (testing, version control, CI/CD)

  • Improve data reliability, performance, and structure as we scale

  • Drive data quality and governance across the business
    Build a self-serve data culture

  • Own and develop our data dictionary, making it a genuinely useful tool for the business

  • Define and standardise key metrics, ensuring a clear single source of truth

  • Enable non-technical teams to confidently use data through clear documentation and guidance
    Partner with the business

  • Work closely with Product, Client Services, and Finance to deliver high-quality datasets and dashboards

  • Translate business questions into well-structured data models and metrics

  • Replace manual, Excel-heavy reporting with scalable, automated pipelines

  • Support product analytics by improving tracking, modelling, and insight generation

  • Improve tooling & ways of working

  • Collaborate with Engineering to enhance data pipelines and architecture

  • Continuously improve how we build, test, and deploy data models

  • Explore and apply AI tools and automation to improve productivity and the analytics experience

Why this role?

  • High ownership: you’ll shape the data platform, not just contribute to it
  • Real impact: your work will directly influence decision-making across the business
  • Early data team: opportunity to define standards, tooling, and best practices
  • Modern stack: dbt, cloud warehouse, and a strong foundation to build on
  • Room to innovate: especially around AI and automation

Requirements

  • Strong SQL skills and experience working with dbt
  • Experience building and maintaining analytics-ready data models in a warehouse environment
  • Experience with a BI tool (Tableau or similar)
  • A strong focus on data quality, testing, and reliability
  • Experience owning or contributing to data infrastructure and tooling
  • Clear, confident communication with both technical and non-technical audiences
  • Self-motivated and accountable, you take ownership and follow through

Benefits

  • Tenure Gifts - Vouchers, extra holiday and sabbaticals for each year of employment.
  • Health insurance through Vitality
  • Enjoy the flexibility of working remotely for up to 20 days each year, allowing you to tailor your - -work environment to your needs and embrace a change of scenery.
  • Employee Assistance Programme - Access to a health and wellbeing service that offers personalised advice and support from specialist teams.
  • Enhanced Maternity & Paternity pay.
  • Annual Leave - 25 days + bank holidays which includes a week's closure over the Christmas period to fully reset.
  • MyMindPal app - Online support for mental fitness that helps people to stress less and enjoy life more
  • Corporate Events - From quarterly gatherings to our annual winter & Summer parties, we love to celebrate, collaborate and have fun together!

Tech stack

PostgreSQLAWSdbtTableauKubernetes