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Data Engineer

Searchability®
Kent
1 month ago
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  • Opportunity for a Data Engineer to join an exciting Motor Finance Company in the Southeast
  • Salary up to £95,000 + some fantastic benefits hybrid working, Tech scheme, Office social Activities and much more!
  • Apply online or contact Chelsea Hackett via



WHO WE ARE:


A fast-growing UK motor finance provider helping drivers get into quality used cars with speed and simplicity. By combining intelligent automation with quick credit decisions, it delivers straightforward, accessible hire-purchase plans backed by wide dealer support.


OUR BENEFITS:


  • Flexible and hybrid working
  • Autonomous working
  • Companywide collaborative events
  • Performance reward and achievements
  • Private Health Insurance
  • Pension Plan
  • Tech scheme
  • Gym Membership Discount
  • Premium bonds for children
  • Personal and professional development schemes
  • And more…



WHAT WILL YOU BE DOING?


We’re looking for a skilled Data Engineer to play a pivotal role in shaping and scaling our modern data platform. You’ll be responsible for designing and maintaining robust data pipelines, integrating data from a wide range of systems, and ensuring high standards of quality, security and compliance. Working across cloud-based technologies such as Azure Synapse/Fabric, Data Lake and Databricks, you’ll enable the business to make data-driven decisions and support advanced analytics, reporting, and regulatory needs.


This role will see you collaborating closely with BI developers, data scientists, risk, finance and compliance teams to deliver trusted, well-governed data. You’ll combine strong technical engineering skills with a focus on optimisation, governance and automation, making sure our data platform is scalable, efficient and ready to support both today’s reporting and tomorrow’s AI-driven insights.


DATA ENGINEER – ESSENTIAL SKILLS


  • Strong SQL skills, including T-SQL, stored procedures and performance tuning
  • Experience developing ETL/ELT pipelines (e.g. Azure Data Factory, SSIS, dbt)
  • Knowledge of data modelling (star/snowflake, relational and dimensional)
  • Hands-on with Azure data services (Data Lake, Synapse, SQL DB, Functions, Logic Apps)
  • Understanding of data security, access control and governance in regulated environments
  • Proficiency in Python or PySpark for data engineering tasks


TO BE CONSIDERED…


Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

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