Job Title: Data Analytics Engineer Reports To: Head of Data
Gillingham, Hybrid Working 3 days per week in office.
About the Role 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.
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. 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.
Understanding of data challenges in large-scale retail environments.
Strong stakeholder management skills and a track record of delivering value from data.