Data Analytics Engineer

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Gillingham / £65000 - £75000 annum

INFO

Salary
SALARY:

£65000 - £75000

Location

LOCATION

Gillingham

Job Type
JOB TYPE

Permanent

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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