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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
10
Salary range
£45k – £87k
Hiring companies
7
View 10 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 – £87k

Based on advertised midpoints across the 28 priced listings posted in the last 12 months. Base salary only.

Salary visibility
59% of listings advertise a salary.
By seniority
£k base
Mid
45
76
15 jobs
Senior
60
112
9 jobs
Skills & tools

What hiring managers ask for

% of 28 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

SQL
86%
Python
75%
Data Modelling
68%
Snowflake
50%
Power BI
43%
Data Governance
39%
Git
36%
dbt
36%
Data Pipelines
32%
Databricks
32%
AWS
29%
ETL
25%
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

10 live roles

See all 10 roles →

Analytics Engineer

This role involves designing and maintaining scalable ETL/ELT pipelines, developing optimised data models, and ensuring data quality and governance to support business intelligence and self-service analytics. The engineer will work closely with BI developers and stakeholders to translate business requirements into robust backend data solutions using modern cloud technologies. The focus is on backend data engineering with strong emphasis on SQL, data pipeline performance, and cloud platforms.

TRIA London, United Kingdom £50,000 – £55,000 pa
Hybrid Permanent

Analytics Engineer

The role involves developing and maintaining data flows for recruitment and admissions systems, with a focus on capturing Dynamics data and modeling it in Snowflake. You will work closely with technical and non-technical teams to translate business requirements into robust data models, support data warehouse development, and prepare datasets for Power BI reporting. The position plays a key part in advancing data governance and analytics capabilities within a university environment.

Hays Technology Birmingham, West Midlands (county), United Kingdom £36,636 – £46,049 pa
Hybrid Permanent

Analytics Engineer

This role involves developing and enhancing a Microsoft Fabric-based analytics platform, building data ingestion pipelines, and creating semantic models to improve data accessibility for business users. The engineer will support digital, commercial, and operational teams with a focus on AI-integrated development and natural-language reporting. It emphasizes scalable data solutions and stakeholder collaboration over traditional data engineering tasks.

Vivo Talent Kingston upon Thames, London, United Kingdom

Analytics Engineer

This role involves designing and maintaining scalable ETL/ELT pipelines, developing curated data models, and ensuring data quality to support business intelligence and self-service analytics. The engineer will work closely with BI developers and stakeholders to translate business requirements into robust backend data solutions, focusing on performance, scalability, and modern data practices. The position emphasizes SQL, data modeling, and cloud-based data platforms, particularly AWS.

TRIA Sunderland, Tyne & Wear, SR4 6ST, United Kingdom
Hybrid Permanent

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

Senior Analytics Engineer

The Senior Analytics Engineer will design and maintain cloud-based data platforms using Azure technologies, focusing on ETL/ELT workflows, data warehousing, and analytics solutions. This role involves close collaboration with business and technical teams to translate requirements into scalable data architectures, ensure data quality, and support regulatory compliance. The position requires strong expertise in SQL, Azure Data Factory, Fabric, and CI/CD automation, with an emphasis on documentation, performance tuning, and secure data practices.

Tech4 Ltd Oxford, Oxfordshire, United Kingdom £60,000 – £65,000 pa
Hybrid Permanent

Data Analytics Engineer

Role:Data Analytics EngineerLocation: NottinghamWorking Arrangement:Remote, quarterly visitsSalary:Up to £48kAre you passionate about turning data into meaningful business insights? Whether you're an experienced Data Analyst looking to move into Analytics Engineering, an early-career professional eager to develop modern data skills, or...

Rebel Recruitment Nottingham, Nottinghamshire, United Kingdom £40,000 – £48,000 pa

Senior Analytics Engineer - Fabric

This role involves building and maintaining ELT pipelines within the Azure ecosystem, focusing on data migration, modernisation, and improving data quality and processing efficiency. The engineer will work closely with cross-functional data teams to enhance Power BI reporting, support legacy system integration, and contribute to architectural decisions in an Agile environment. The position offers ownership of a regional data estate within a growing international organisation.

Harnham - Data and Analytics Recruitment London, United Kingdom £65,000 pa
See all 10 roles →
Hiring locations

Where this role is hiring

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

London

Location
4 open

Oxford

Location
2 open

Birmingham

Location
1 open

Nottingham

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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