How to Become an Analytics Engineer in the UK
Analytics engineers sit between the data engineer, who builds pipelines, and the data analyst, who answers business questions. You turn raw data in a cloud data warehouse into clean, tested and documented tables that analysts and business teams can trust. Typical work includes writing SQL models, testing data quality, managing transformations in tools such as dbt, and defining metrics so everyone uses the same numbers.
The role is fairly new. Most analytics engineers start in analyst or business intelligence roles and move across once they have strong SQL.
Quick facts
- Starting salary
- £40,000 - £55,000
- Mid-career salary
- £65,000 - £90,000
- Senior salary
- £100,000 - £140,000
- Work environment
- Office or remote, desk-based
- Time to entry
- 1 - 3 years
- Degree required
- Helpful, not always required
- Category
- AI, Data and Automation
Compare pay across careers in the UK salaries by career report. Also in: High-paying careers, Career change.
What a Analytics Engineer does
Sit between data engineers and analysts - model raw data into clean, trusted tables teams can use.
- dbt Modelling - Build modular SQL models and tests in dbt.
- Data Warehousing - Design star / data vault schemas in Snowflake / BigQuery.
- Metrics Layer - Define and govern company-wide metrics.
- Reverse ETL - Sync warehouse data back to SaaS tools.
How to become an analytics engineer in the UK
There is no formal qualification. The usual route is a data analyst or business intelligence role first, often reached through a degree in a numerate subject or a Level 4 data analyst apprenticeship. From there you build analytics engineering skills: advanced SQL, data modelling, dbt, version control with Git, and cloud data warehouses such as Snowflake, BigQuery, Redshift or Databricks. Some people come from software engineering instead and learn the business side. dbt Labs offers an analytics engineering certification, but a portfolio of real data models is more persuasive.
- Get very strong at SQL, including window functions, CTEs and query performance, ideally while working in a data analyst or BI role.
- Learn dbt by building a small project on a free cloud data warehouse trial, with models, tests and documentation.
- Use Git for all your work, including branches and pull requests, because analytics engineering teams work like software teams.
- Study data modelling, such as dimensional modelling with fact and dimension tables, and apply it to a real dataset.
- Volunteer to clean up and document messy reporting tables at work, then measure the time it saves analysts.
- Apply for analytics engineer roles, often at tech companies, scale-ups and data teams that use a modern cloud data stack.
| Route | How long | Cost | Best for |
|---|---|---|---|
| Data analyst or BI developer, then move across | 1-3 years | Free, on the job | Analysts who enjoy building data models |
| Level 4 data analyst apprenticeship, then specialise | Around 2 years, then experience | Paid by the employer | School leavers and career changers |
| Move across from software engineering | 6-12 months | Self-study, often free | Engineers interested in data |
How long it takes
Most analytics engineers get there in one to three years, usually after working as a data analyst and adding dbt, Git and data modelling skills.
Analytics Engineer salary in the UK
Analytics engineers usually start on around £40,000 to £55,000. With experience, pay rises to £65,000 to £90,000, and senior, staff or lead analytics engineers earn £100,000 to £140,000. Tech companies, financial services and London roles pay the most. Strong data modelling, experience with large cloud data warehouses and the ability to agree metric definitions with business teams all push pay up. Contract roles can pay higher day rates.
Key skills
- dbt
- SQL
- Git
- Data modelling
- Documentation
Analytics Engineer FAQs
How do I become an analytics engineer in the UK?
Most people start as a data analyst or BI developer, build strong SQL, then learn dbt, Git, data modelling and cloud data warehouses. A portfolio project showing tested, documented data models helps you move into an analytics engineer role.
Do you need a degree to be an analytics engineer?
No. Many analytics engineers have numerate degrees, but others came through data apprenticeships or self-study. Employers care most about SQL, data modelling, version control and evidence that you have built reliable data models that others depend on.
How much do analytics engineers earn in the UK?
Starting pay is typically £40,000 to £55,000. Experienced analytics engineers earn £65,000 to £90,000, and senior or lead analytics engineers earn £100,000 to £140,000. Tech and financial services roles in London pay the most.
What is the difference between an analytics engineer and a data engineer?
Data engineers build the pipelines and infrastructure that move data into the warehouse. Analytics engineers work inside the warehouse, turning that data into clean, tested models for analysis. The roles overlap, and some people move between the two.
Is Analytics Engineer right for you?
Career Compass ranks careers from your interests and priorities and explains every suggestion, with UK routes and trade-offs. See how well Analytics Engineer actually fits you. £19.99 once, full report included.
Still deciding whether analytics engineer is the career for you? Here is which career test is actually worth taking, and what a free quiz will not tell you.