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Data analytics engineer

Gillingham (Kent)
Harnham Search & Selection
Data analytics engineer
Posted: 13h ago
Offer description

Job Description

Job Title: Data Analytics Engineer


Reports To: Head of Data

Location: 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.



Key Responsibilities:


* 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.



What You'll Need:


* 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.



What Will Make You Stand Out:


* 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.

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