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Analytics Engineer Jobs

Specialists who design, build, and maintain the data pipelines that power business intelligence. A critical role in transforming raw data into actionable insights.

Open roles
9
Salary range
£45k – £220k
Hiring companies
6
View 9 live roles → Get an alert

Analytics Engineers are the backbone of modern data infrastructure, focusing on the design, implementation, and maintenance of data pipelines and warehouses. They work closely with data scientists, business analysts, and other stakeholders to ensure that data is clean, reliable, and accessible. In the UK, this role is in high demand, particularly in sectors like finance, e-commerce, and tech, where data-driven decision-making is crucial.

What the role does

Inside the role of an Analytics Engineer

A typical week for an Analytics Engineer is a mix of coding, testing, and collaboration. They spend time writing SQL and Python scripts, optimising data flows, and working with cross-functional teams.

  1. 01
    Design and implement data pipelines using tools like dbt and Apache Airflow.
  2. 02
    Optimise data models and queries for performance and scalability.
  3. 03
    Collaborate with data scientists and business analysts to understand data requirements.
  4. 04
    Monitor and troubleshoot data pipelines to ensure data integrity.
  5. 05
    Document data processes and workflows for team transparency.
  6. 06
    Participate in code reviews and contribute to team knowledge sharing.
Salary on the board

£45k – £220k

Based on advertised midpoints across the 16 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Mid
45
70
8 jobs
Senior
70
220
5 jobs
Lead
80
90
1 job
Skills & tools

What hiring managers ask for

% of 16 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

SQL
88%
Python
75%
Snowflake
50%
Data Modelling
50%
dbt
44%
Data Pipelines
38%
Data Governance
31%
Power BI
31%
Databricks
25%
Data Quality
25%
Data Engineering
25%
DataVault
19%
Career ladder

From Junior to Principal

A typical UK progression for analytics engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Analytics Engineer

    0–2 yrs

    Assist in the design and implementation of data pipelines, focusing on learning and contributing to small projects.

  2. Level 2

    Mid-Level Analytics Engineer

    2–5 yrs

    Take ownership of specific data pipelines and work on more complex projects, often leading small teams.

  3. Level 3

    Senior Analytics Engineer

    5–8 yrs

    Lead the design and implementation of large-scale data infrastructure, mentor junior engineers, and drive best practices.

  4. Level 4

    Principal Analytics Engineer

    8+ yrs

    Strategise and oversee the entire data engineering function, influence company-wide data architecture, and lead cross-functional initiatives.

Pathway

How to become a Analytics Engineer

There's no single route, but most people follow some version of these steps.

  1. 1

    Learn the Basics

    Start with foundational skills in SQL, Python, and data warehousing. Gain experience with ETL/ELT tools and data modelling.

  2. 2

    Build Pipelines

    Work on small to medium-sized data pipelines, focusing on data extraction, transformation, and loading processes.

  3. 3

    Optimise and Scale

    Refine your skills in data optimisation and scalability. Learn to handle large datasets and improve data processing efficiency.

  4. 4

    Lead Projects

    Take on leadership roles in data engineering projects. Manage teams and ensure the successful delivery of complex data solutions.

  5. 5

    Influence Strategy

    Contribute to the strategic direction of the data engineering function. Influence company-wide data architecture and best practices.

  6. 6

    Mentor and Innovate

    Mentor junior engineers and drive innovation in data engineering. Stay ahead of industry trends and continuously improve data infrastructure.

Live jobs

9 live roles

See all 9 roles →

Analytics Engineer

As an Analytics Engineer, you will develop and maintain data pipelines using Python, design dimensional data models in a cloud data platform like Snowflake, and partner with BI teams to deliver actionable insights. You'll work closely with cross-functional teams to drive data-led decision making and optimize the performance and reliability of the data platform.

TRIA Woking, Surrey, United Kingdom £58,000 – £68,000 pa
Hybrid Permanent

Analytics Engineer

This role involves designing and delivering trusted, governed analytics through dashboards, KPIs, and semantic models that drive business decisions. You'll work closely with data engineers and stakeholders to ensure data accuracy, consistency, and business relevance, using advanced SQL and data modelling techniques. The position is central to a high-profile transformation programme within a product-led Data & AI team.

Microlise Langley Mill, Derbyshire, NG16 4BS, United Kingdom £45,000 pa
Hybrid Contract

Analytics Engineer

This role involves designing and maintaining scalable data pipelines, integrating data from various business systems, and developing robust data models. You will work closely with stakeholders to translate requirements into usable data assets and support the growth of the data function.

Harnham - Data and Analytics Recruitment London, United Kingdom £50,000 – £60,000 pa
Hybrid Permanent
Experis logo

Analytics Engineer/Data Analyst

This role involves building and maintaining high-quality, reusable data assets by collaborating with business and technology teams. The engineer will use SQL and Python to develop automated reporting, dashboards, and scalable data pipelines, focusing on transforming ad-hoc analyses into production-grade solutions. Emphasis is placed on data quality, automation, and delivering actionable insights using modern cloud platforms and AI-assisted tools.

Experis London, United Kingdom £50,000 – £65,000 pa
Hybrid Permanent

Senior Analytics Engineer

This role involves designing and maintaining data transformations, building scalable data products, and enabling reliable analytics through close collaboration with analysts and business stakeholders. The engineer will work extensively with SQL, cloud data platforms, and dbt to create trusted datasets that power business intelligence and decision-making. Emphasis is placed on best practices in analytics engineering, data modelling, and automation within a mature data environment.

Harnham - Data and Analytics Recruitment London, United Kingdom £80,000 – £85,000 pa
Hybrid Permanent

Data Analytics Engineer

This role involves developing business-critical reporting and analytics capabilities across multiple operational teams. You will design and maintain Power BI reports, dashboards, and semantic models, build SQL-based data pipelines, and collaborate with stakeholders to ensure data accuracy and governance.

Applause IT Recruitment Ltd Birmingham, West Midlands (county), United Kingdom
Hybrid Permanent
Amazon logo

Sr. Data Engineer, EU Books Analytics and Engineering

This role involves owning and evolving the data architecture for Amazon EU Books, building scalable data pipelines, and enabling self-service analytics. You will work on consolidating data from multiple systems, ensuring data quality, and supporting AI and advanced analytics initiatives.

Amazon London, United Kingdom
On-site Permanent
Amazon logo

Data Engineer, Amazon Customer Service Data Analytics Support Hub

This role involves building and maintaining scalable data pipelines for customer service analytics, focusing on multi-contact journey analysis, transcripts processing, and LLM-serving datasets. The engineer will bridge central data platforms with domain-specific use cases, enabling diagnostic and predictive insights. Key responsibilities include productionizing machine learning outputs, ensuring data quality, and supporting secure, certified data infrastructure at global scale.

Amazon London, United Kingdom
Hybrid Permanent
See all 9 roles →
Top hirers

Companies hiring analytics engineers

See all companies →
Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

London

Location
4 open

Birmingham

Location
1 open

Woking

Location
1 open
FAQs

Common questions

  • Common tools include SQL, Python, dbt, Apache Airflow, and various data warehousing solutions like Snowflake and BigQuery.

  • Analytics Engineers provide the data infrastructure that data scientists rely on. They collaborate to ensure data is clean, reliable, and accessible for analysis.

  • Key skills include strong SQL and Python programming, data modelling, ETL/ELT processes, and a deep understanding of data warehousing and data lakes.

  • The typical progression is from Junior to Mid-Level, Senior, and finally Principal Analytics Engineer, with increasing responsibility and leadership.

  • Salaries vary based on experience and location. For more detailed salary information, please refer to the salary section on this page.

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