Job Search and Career Advice Platform

Enable job alerts via email!

Remote Data Engineer: Databricks, SQL & Data Lakes

Markerstudy Ltd

Remote

GBP 50,000 - 70,000

Full time

Yesterday
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading insurance firm in the UK is looking for an experienced Data Engineer to support project delivery and create scalable data solutions. The role requires expertise in SQL, Databricks, and Azure data platforms. Responsibilities include developing data products, translating business needs into technical solutions, and resolving data issues. The position offers a collaborative work environment, private medical care, generous leave, and various employee benefits.

Benefits

Private medical health care plan
24 days annual leave plus Bank Holidays
Benefit scheme with discounts and cashback
Life Assurance 4x annual salary

Qualifications

  • Experience with SQL programming and systems integration.
  • Strong knowledge of Kimball methodology.
  • Experience in Insurance or Broking is preferred.

Responsibilities

  • Develop and maintain high-quality data products using Databricks.
  • Collaborate with analysts to translate business requirements.
  • Monitor and resolve data issues to ensure performance.

Skills

SQL programming
Data modeling
Data warehousing concepts
Databricks notebooks
Azure data
Python for scripting
Project management

Tools

Databricks
Azure SQL
Data lake
Data factory
Job description
A leading insurance firm in the UK is looking for an experienced Data Engineer to support project delivery and create scalable data solutions. The role requires expertise in SQL, Databricks, and Azure data platforms. Responsibilities include developing data products, translating business needs into technical solutions, and resolving data issues. The position offers a collaborative work environment, private medical care, generous leave, and various employee benefits.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.