Data Analytics Engineer

JR United Kingdom; Gillingham; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A fast-growing retail client seeks a Data Analytics Engineer in Gillingham to build scalable data solutions. This pivotal role requires data pipeline management and collaboration across teams to enhance customer experiences and operational efficiency. The engineer will need solid SQL and Python skills, experience with cloud data warehouses, and proficiency in BI tools like Power BI or Tableau.

Qualifications

• Proven experience in data engineering or analytics engineering.
• Hands-on experience with cloud data warehouses.
• Ability to translate complex data into clear insights.

Responsibilities

• Design, build, and manage robust data pipelines.
• Create and maintain dashboards using BI tools.
• Collaborate with teams to gather requirements and deliver insights.

Skills

SQL

Python

Data Modelling

ETL/ELT Workflows

Data Validation

BI Tools

Stakeholder Management

Tools

Snowflake

Redshift

BigQuery

Power BI

Tableau

Looker

dbt

Fivetran

Azure

Job description

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

About the Role

Job Title: Data Analytics Engineer

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.

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.