Analytics Engineer

Futureheads; United Kingdom; Hybrid; GBP 92,000 - 129,000; Full time

Benefits offered by this job

Remote/Hybrid work

Job summary

Futureheads is seeking an Analytics Engineer on a 6-month contract. The role focuses on analytics engineering, data modelling and semantic layer design to support trusted datasets and scalable analytics.

You will design dbt models, modernise legacy data structures, and ensure high data quality while enabling self-service analytics across the business. The position offers remote/hybrid work and a strong extension potential.

Qualifications

• Strong hands-on experience with dbt tooling.
• Advanced SQL and data modelling expertise.
• Experience with modern cloud data platforms.
• Understanding of semantic layers and metrics frameworks.
• Experience modernising legacy data models and migrations.
• Ability to work independently in a fast-paced environment.
• Strong communication and stakeholder management skills.

Responsibilities

• Design, build, and optimise scalable dbt models.
• Refactor data models to improve performance and quality.
• Develop semantic layer definitions and trusted metrics.
• Support large-scale data and system transformation programmes.
• Ensure data quality via testing and monitoring.
• Enable self-service analytics across the organisation.
• Contribute to analytics engineering governance and docs.

Skills

dbt

SQL

data modelling

semantic layer

stakeholder management

communication

independence

Tools

dbt

Airflow

Cloud platforms

Job description

Analytics Engineer

6-Month Contract | Immediate Start | Remote/Hybrid

We're partnering with a fast-growing retail subscription business that is investing heavily in its data platform and analytics capabilities. As part of a major transformation programme, they're looking for a Senior Analytics Engineer to help modernise their analytics environment, improve data quality, and support the rollout of new business-critical systems and reporting capabilities.

This is a highly visible role where you'll play a key part in ensuring the business has trusted, scalable data foundations that support commercial decision-making, customer insights, performance reporting, and future AI-driven initiatives.

The role is heavily focused on analytics engineering, data modelling, and semantic layer design, rather than dashboard development.

The Opportunity

• Design, build, and optimise scalable dbt models.
• Refactor and modernise existing data models to improve performance, quality, and maintainability.
• Develop robust semantic layer definitions and trusted business metrics.
• Support large-scale data and systems transformation programmes.
• Ensure data quality through testing, monitoring, and engineering best practices.
• Enable self-service analytics across the organisation.
• Contribute to analytics engineering standards, governance, and documentation.

What We're Looking For

• Strong hands-on experience with dbt.
• Advanced SQL and data modelling expertise.
• Experience working with modern cloud data platforms.
• Strong understanding of semantic layers, metrics frameworks, and analytics engineering best practices.
• Experience modernising legacy data models and supporting platform migrations.
• Ability to operate independently in a fast-paced environment.
• Strong communication and stakeholder management skills.

Nice to Have

• Experience with modern BI and analytics platforms.
• Airflow or similar orchestration tools.
• Python.
• Experience working with customer, CRM, eCommerce, subscription, or commercial data.
• Familiarity with AI-assisted development tools and ways of working.

Why Join?

• Be part of a major data transformation programme.
• Influence the future analytics architecture of a growing business.
• Work on projects with real visibility and business impact.
• Join an established data community with strong engineering standards.
• Help shape how data is consumed across the business, including emerging AI use cases.
• Initial 6-month contract with strong extension potential.

Location: UK Remote / Hybrid

Contract Length: Initial 6 Months - strong chance to extend

Start Date: ASAP

Rate: Competitive Day Rate

We're particularly interested in speaking with Analytics Engineers who enjoy solving complex data modelling challenges, improving data quality, and building trusted datasets that drive better business decisions at scale.

We encourage applicants from all backgrounds, so if there is anything we can do to make our recruitment processes better for you and to allow you to show your best self, let us know. We also understand that some people require extra time to complete assessments, require alternative application methods and can also benefit from having interview questions or a guide to the type of questions pre-interview. We are open to any suggestions or requests that you may have and are always looking for creative ways to assess talent. Our commitment to you is that you should always feel safe and secure when you’re working with us.