Analytics Engineer Jobs

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

Open roles

• 7
• Salary range: £50k – £105k
• Hiring companies: 4

Analytics Engineers are the backbone of data-driven organisations. They design, build, and maintain the data pipelines and models that transform raw data into actionable insights. Working closely with data scientists, business analysts, and product teams, Analytics Engineers ensure that data is clean, reliable, and accessible. This role is crucial in industries ranging from finance and healthcare to e-commerce and technology, where data accuracy and efficiency are paramount.

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, testing data pipelines, and working with cross-functional teams to ensure data integrity and performance.

1. Design and implement data pipelines
2. Write and optimise SQL queries
3. Test and debug data transformations
4. Collaborate with data scientists and business analysts
5. Document and maintain data models
6. Monitor and optimise data infrastructure performance

Salary on the board

£50k – £105k
Based on advertised midpoints across the 8 priced listings posted in the last 12 months. Base salary only.

By seniority

What hiring managers ask for

Skills mentioned in job descriptions (% of 8 listings):

• SQL: 88%
• Data Modelling: 88%
• dbt: 63%
• Snowflake: 63%
• Power BI: 50%
• Data Pipelines: 38%
• ELT: 38%
• CI/CD: 38%
• Data Governance: 38%
• Databricks: 38%
• Python: 38%
• Data Quality: 25%

Career ladder: From Junior to Principal

Level 1: Junior Analytics Engineer (0–2 yrs)

Assists in building and testing data pipelines, with a focus on learning and gaining hands-on experience.

Level 2: Mid-Level Analytics Engineer (2–5 yrs)

Takes ownership of specific data pipelines and models, ensuring they are robust, scalable, and well-documented.

Level 3: Senior Analytics Engineer (5–8 yrs)

Leads the design and implementation of complex data solutions, mentors junior team members, and drives best practices.

Level 4: Principal Analytics Engineer (8+ yrs)

Strategises and oversees the entire data infrastructure, influences organisational data strategy, and leads cross-functional projects.

How to become an Analytics Engineer

1. Learn the Basics: Start with foundational skills in SQL, Python, and data warehousing.
2. Build Pipelines: Work on small to medium-sized data pipelines, focusing on data extraction, transformation, and loading (ETL).
3. Optimise and Scale: Refine and optimise existing pipelines for performance and scalability.
4. Lead Projects: Take ownership of large-scale data projects, leading cross-functional teams and mentoring junior engineers.
5. Influence Strategy: Contribute to the overall data strategy of the organisation, driving innovation and best practices.
6. Thought Leadership: Become a recognised expert in the field, contributing to industry standards and influencing the direction of data engineering.

7 live roles

Analytics Engineer at TRIA

This role involves building and maintaining scalable data pipelines using Python and SQL, designing dimensional data models in cloud platforms like Snowflake, and collaborating with BI teams to deliver actionable insights.
Location: Woking, Surrey, United Kingdom
Salary: £58,000 – £68,000 pa
Type: Hybrid, Permanent

Analytics Engineer at Harnham - Data and Analytics Recruitment

This role involves building and managing end-to-end data pipelines using Azure-based tools.
Location: London, United Kingdom
Salary: £50,000 – £60,000 pa
Type: Hybrid, Permanent

Analytics Engineer at Harnham - Data and Analytics Recruitment

This role involves owning and developing a cloud-based data platform on GCP.
Location: Sheffield, United Kingdom
Salary: £65,000 – £70,000 pa
Type: Remote, Permanent

Senior Analytics Engineer at Synthesia

As a Senior Analytics Engineer, you will work closely with Product, Analytics, and Engineering teams to transform raw data into trusted datasets and metrics.
Location: London, United Kingdom
Type: Remote, Permanent

Pricing Analytics Engineer at Datatech

An exciting opportunity to join a highly respected consumer-focused organisation.
Location: Bristol, United Kingdom

Data Analytics Engineer at Applause IT Recruitment Ltd

This role involves developing business-critical reporting and analytics capabilities using Power BI, SQL, and data engineering.
Location: Birmingham, West Midlands, United Kingdom
Type: Hybrid, Permanent

Senior Analytics Engineer at Harnham - Data and Analytics Recruitment

This role emphasizes collaboration, data modelling, and enabling a data-driven culture across a growing organisation.
Location: London, United Kingdom
Salary: £80,000 – £85,000 pa
Type: Hybrid, Permanent

Where this role is hiring

• London: 2 open
• Birmingham: 1 open
• Bristol: 1 open
• Sheffield: 1 open
• Woking: 1 open

Common questions

• What skills are essential for an Analytics Engineer?
  Proficiency in SQL, Python, and data warehousing. Knowledge of ETL tools like dbt and Airflow is also crucial.

• How do Analytics Engineers work with Data Scientists?
  They provide the clean, reliable data needed for analyses and collaborate to ensure data is accurate and accessible.

• What are the career progression opportunities?
  Typically moves from hands-on technical roles to leadership positions, influencing data strategy and leading cross-functional projects.

• What is the difference between an Analytics Engineer and a Data Engineer?
  Analytics Engineers focus on the transformation and modelling of data for business intelligence, whereas Data Engineers focus on building and maintaining the infrastructure.

• What is the salary range for Analytics Engineers?
  Salaries vary widely based on experience and location. Refer to the salary section for specifics.