Data, AI & Analytics

Analytics Engineer Jobs & Careers

Looking for your next Analytics Engineer opportunity?

HOK Consulting connects Analytics Engineers with organisations transforming raw data into trusted, structured datasets for reporting, analytics and business decision-making across permanent, contract and interim opportunities.

Whether your experience covers SQL, dbt, Snowflake, Databricks, Microsoft Fabric or cloud-based data platforms, explore current opportunities or upload your CV to join HOK’s technology talent network.

Current Analytics Engineer Jobs

Explore current Analytics Engineer opportunities available through HOK Consulting.

Can’t see the right Analytics Engineer role?

If there are currently no suitable Analytics Engineer vacancies listed, upload your CV and tell us what you’re looking for. Our team can contact you when a relevant permanent, contract or interim opportunity becomes available.

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What Does an Analytics Engineer Do?

Analytics Engineers bridge the gap between data engineering and data analysis, transforming raw information into reliable and well-structured datasets that analysts and business teams can use confidently.

The role commonly involves data transformation, modelling, testing and documentation within modern cloud data platforms, helping create consistent definitions and trusted data layers for reporting and analytics.

Analytics Engineers often work alongside Data Engineers, Data Analysts, Business Intelligence Developers and data stakeholders to improve data quality, simplify analysis and ensure important business metrics are built from dependable information.

Analytics Engineer Skills & Experience

The exact technical requirements vary between organisations, but Analytics Engineer roles commonly involve experience across areas such as:

  • Analytics Engineering
  • SQL
  • dbt
  • Data Modelling
  • Data Transformation
  • Data Analytics
  • Data Engineering
  • Data Quality
  • Data Governance
  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Azure Data Services
  • Azure Data Factory
  • AWS Data Services
  • Google BigQuery
  • Amazon Redshift
  • Power BI
  • Tableau
  • Python

Analytics Engineers may specialise in particular cloud warehouses or transformation technologies, while others work across wider data modelling, reporting and analytics environments.

Strong SQL skills and an understanding of data modelling, testing, documentation and business requirements are particularly important when creating trusted datasets that can be reused across an organisation.

Typical Analytics Engineer Responsibilities

  • Transforming raw data into structured analytics-ready datasets
  • Developing and maintaining SQL and dbt data models
  • Designing reusable data models and metric definitions
  • Working with cloud platforms such as Snowflake, Databricks and BigQuery
  • Testing data transformations and identifying quality issues
  • Documenting datasets, models and business definitions
  • Improving the reliability and maintainability of analytics data
  • Supporting data governance and quality standards
  • Optimising data models and transformation performance
  • Working with Data Engineers to improve source data and pipelines
  • Supporting Data Analysts and BI teams with reliable reporting datasets
  • Helping establish consistent analytics engineering practices across the organisation

Responsibilities vary depending on the organisation, data architecture and whether the role focuses on transformation, modelling, business intelligence or wider analytics platform development.

Analytics Engineer Salary Expectations

Analytics Engineer salaries vary according to experience, location, cloud platform, technical specialism, sector and the complexity of the organisation’s data environment.

Permanent Analytics Engineer

Around £57,000 per year

UK average base salary

Contract Analytics Engineer

Around £530 per day

Related UK Data Analytics Engineer contract benchmark

Senior Analytics Engineers and professionals with specialist dbt, Snowflake, Databricks, cloud data, financial services or complex enterprise analytics experience may command higher salaries or contract rates.

Salary information is provided as a general UK market guide. Permanent pay uses current Analytics Engineer salary data, while the contract figure uses the closely related Data Analytics Engineer vacancy market because exact-title contract data is limited.

Analytics Engineer Career Progression

Analytics Engineering can lead into senior analytics engineering, data architecture, data engineering and wider data leadership positions.

Typical Analytics Engineer Career Path

Analytics Engineer
Senior Analytics Engineer
Analytics Engineering Lead

Alternative Career Paths

Analytics Engineers may also progress into roles such as:

  • Data Engineer
  • Data Architect
  • Business Intelligence Developer
  • Analytics Lead
  • Head of Data
  • Data Platform Engineer

The right progression depends on whether you want to deepen your analytics engineering expertise, move further into data engineering or architecture, or take responsibility for wider analytics teams and data strategy.

Your Next Move

Looking for Your Next Analytics Engineer Opportunity?

If you’re considering your next permanent position, contract assignment or interim opportunity, send HOK Consulting your CV.

Tell us about the data models you’ve built, the analytics platforms and technologies you work with and the type of opportunity you’re looking for.

Upload Your CV

Specialist Recruitment

Data, AI & Analytics Recruitment

Analytics Engineering forms part of HOK Consulting’s wider Data, AI & Analytics recruitment expertise, connecting organisations with professionals across data engineering, data science, artificial intelligence, machine learning, business intelligence, analytics and data architecture.

Explore Data, AI & Analytics Recruitment ↗

Hiring?

Recruiting Analytics Engineers?

HOK Consulting supports organisations looking for experienced Analytics Engineers across permanent, contract and interim requirements.

Whether you’re building a modern analytics platform, introducing dbt, improving data quality or creating trusted datasets for reporting and decision-making, speak to HOK about your requirements.

Discuss Your Requirement

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