Senior Analytics Engineer | Remote, Bonus, High-Impact Data

Harnham; England; On-site; GBP 81,000 - 99,000; Full time

Benefits offered by this job

Fully remote within the UK

Quarterly travel to Brighton

Quarterly performance bonus

Comprehensive benefits package

High-impact data initiatives

Job summary

Harnham is seeking a Senior Analytics Engineer to lead analytics and data solutions across business initiatives. The role is fully remote (UK) with quarterly travel to Brighton and a £90,000 base salary plus quarterly bonus and benefits.

You will design data models, build transformation pipelines, semantic layers, and ensure data quality. Collaboration with stakeholders and mentoring others are key components of the role.

Qualifications

• Strong experience in Analytics Engineering, Data Engineering, BI, or similar roles.
• Advanced SQL and data modelling capabilities.
• Experience with cloud data platforms and data warehousing technologies.
• Strong understanding of ETL/ELT frameworks and analytics engineering best practices.
• Experience with source control, CI/CD, and modern development practices.
• Excellent stakeholder management and communication skills.

Responsibilities

• Design and deliver scalable analytics and data engineering solutions.
• Develop data models, transformation pipelines, and semantic layers.
• Translate business requirements into robust, scalable data solutions.
• Lead technical workshops and stakeholder discussions.
• Drive data quality, testing, documentation, and governance standards.
• Identify and proactively manage project risks and blockers.
• Mentor colleagues and contribute to the wider data function.

Skills

Analytics Engineering

Data Engineering

Business Intelligence

Advanced SQL

Data Modelling

Tools

BigQuery

dbt

Looker

Job description

Harnham is seeking a Senior Analytics Engineer to lead analytics and data solutions across business initiatives. The role is fully remote (UK) with quarterly travel to Brighton and a £90,000 base salary plus quarterly bonus and benefits.

You will design data models, build transformation pipelines, semantic layers, and ensure data quality. Collaboration with stakeholders and mentoring others are key components of the role.