> Markdown version of [/jobs/ext/3520682-senior-data-analytics-consultant](https://www.wearedevelopers.com/jobs/ext/3520682-senior-data-analytics-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analytics Consultant - **Company:** Harnham - **Location:** London, UK - **Experience:** Expert - **Salary:** £60,000.0 - £70,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, BigQuery, Code Review, Information Engineering, Data Migration, Python (Programming Language), SQL Databases, Cloud Platform System, ReactJS, Git, Data Analytics, Looker Analytics, Data Pipelines, Databricks - **Published:** October 1, 2026 - **Apply:** https://www.reed.co.uk/jobs/senior-data-analytics-consultant/57408291 ## About the Role * Strong commercial experience in Data Engineering, Analytics Engineering, or BI * Excellent SQL and dbt skills * Experience building production-grade data pipelines * Strong data modelling and cloud platform knowledge * Experience with tools such as Databricks, BigQuery, AWS, or Azure * Strong stakeholder management and communication skills * Comfortable working directly with senior business stakeholders * Experience mentoring or leading others * STEM degree from a Russell Group university Please only apply if you hold a STEM degree from a Russell Group university., Applicants must have the right to work in the UK without current or future visa sponsorship ## Description * Build scalable data pipelines and analytics solutions * Design data models and cloud-based data platforms * Lead technical delivery across client projects * Mentor and support junior team members * Review code and promote engineering best practice * Translate business requirements into technical solutions * Present recommendations to senior stakeholders * Support data migration, integration, and transformation projects * Contribute to architecture and tooling decisions * Tech stack includes SQL, Python, dbt, Databricks, BigQuery, AWS, Azure, Looker, APIs, Git, and React.