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Data Analytics Engineer
Posted 7 hours 50 minutes ago by Harnham
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.
Harnham
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