Chief Data Engineering Manager

4 weeks ago


London, Greater London, United Kingdom Saga Group Full time

Saga Group is a leading provider of products and services to people aged over 50 in the UK.

As a Chief Data Engineering Manager, you will be responsible for leading our team of data engineers to deliver high-quality data solutions that meet the needs of our business.

With a salary up to £80,000 depending on experience, you will have the opportunity to work with our established team to implement data architecture strategies, maintain data quality, and collaborate with stakeholders to achieve business objectives.

We are committed to treating all employees fairly and offering equal opportunities in all aspects of employment and advancement.

The ideal candidate will have extensive experience working with cloud technologies, ELT processes, and agile methodologies. They will also possess strong leadership skills, problem-solving abilities, and a commitment to continuous learning and improvement.

We offer a range of benefits, including:

  • A competitive salary up to £80,000
  • 25 days holiday + bank holidays
  • Option to purchase additional leave up to 5 extra days
  • Pension scheme matched up to 10%
  • Life assurance policy on joining us
  • Wellbeing programme
  • Colleague discounts including family discounts on cruises and holidays
  • Range of reductions and offers from leading retailers, travel groups, and entertainment companies
  • Enhanced maternity and paternity leave
  • Grandparents leave
  • Company performance related annual bonus - Up to 5%
  • Income protection

About the role:

Key Responsibilities
  1. Lead the team of data engineers to deliver high-quality data solutions
  2. Maintain and scale our data architecture strategy
  3. Collaborate with teams to design and maintain effective data models
  4. Oversee the development and optimisation of ELT processes
  5. Enforce data quality standards
  6. Collaborate with business stakeholders and technical colleagues to understand data requirements
  7. Ensure data security and compliance measures are in place
  8. Identify and address performance bottlenecks in data processing
Requirements
  1. Cloud technology experience, particularly Azure
  2. ELT experience, including data lakes and data warehouses
  3. Agile working experience
  4. Strong leadership skills
  5. Problem-solving abilities
  6. Continuous learning and improvement mindset


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