Data Analytics Engineer - Harnham - Data & Analytics Recruitment : Job Details

Reports To: Head of Data

Location: Gillingham, Hybrid Working 3 days per week in office.

Our retail client is a fast-growing business where data plays a critical role in driving decisions, improving customer experience, and enabling operational efficiency. As a Data Analytics Engineer, you'll be responsible for building and optimising scalable data solutions that power reporting, insights, and analytics across the organisation. This is a high-impact role ideal for someone who enjoys solving problems with data and collaborating across technical and business teams.

• Design, build, and manage robust data pipelines to extract, transform, and load data from various sources.
• Develop scalable, well-structured data models that support analytics and reporting needs.
• Create and maintain dashboards and reports using business intelligence tools.
• Implement data quality checks, monitoring, and validation processes.
• Collaborate with cross-functional teams to gather requirements and deliver actionable insights.

• Proven experience in data engineering, analytics engineering, or a similar role.
• Proficiency in SQL and/or Python for data transformation and automation.
• Hands-on experience with cloud data warehouses (e.g. Snowflake, Redshift, BigQuery).
• Strong understanding of data modelling, ETL/ELT workflows, and data validation.
• Experience with BI tools such as Power BI, Tableau, or Looker.
• Ability to translate complex data into clear insights for non-technical stakeholders.

• Experience with modern data stack tools such as dbt, Fivetran, and Snowflake.
• Familiarity with Azure cloud services and automation frameworks.
• Understanding of data challenges in large-scale retail environments.
• Clear, confident communicator who can simplify technical findings for business users.
• Strong stakeholder management skills and a track record of delivering value from data.

If you are interested in this role please apply, to follow up please email me.