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Data Engineer (Azure)

Oscar
Southampton
1 month ago
Applications closed

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Role – Data Engineer (Azure)


Skills – Azure / ETL / DataBricks / Data Factory


Location – Remote, UK Based


Salary – Up to £55,000


Work Pattern – One day per year to the Manchester office


Summary

This long-established company are looking for a Data Engineer to join their team on a permanent basis. Your work would involve ETL processes for data integration, migration to a new cloud environment, data feed / pipeline management / database management and maintenance and more. Their entire data environment is now in the cloud and their technology is almost exclusively Microsoft based.


The role is offered on an almost remote basis, with one visit per year to their Manchester office.

This is a great opportunity to add real value to an established organisation and will offer the applicant opportunities for progression and will provide a supportive work environment.


For this role we are also looking for some “core skills in Business Intelligence” too… so SQL programming and knowledge in this area.


The Company

They are a large company, with a wide-ranging suite of products and services. Due to acquisition and growth, they are the absolute leader in their field and are continuing to invest heavily in technology to ensure they stay ahead of their rivals. Their technology team has gone from 10 people 6 years ago to well over 100 now and they have adopted cutting edge, best in practise technologies to help grow.


As an employee you will have access to a discretionary performance bonus, courses and certifications to promote self-development, life insurance, pension scheme and retail discounts!


The Role

We are looking for an individual who is ready to share their expertise with junior team members, collaborate with stakeholders to ensure aligned business goals. Therefore, excellent communication skills and a keenness to share knowledge are a must.


  • Collaborate with stakeholders across the organisation to align Data Engineering / Business Intelligence with strategic business goals.
  • Design and develop the architecture and infrastructure of their data systems, including data warehouse structure, data integration processes and data modelling techniques.
  • Implement and optimise Extract, Transform, Load (ETL) processes for integrating data from various sources into the data warehouse.
  • Establish data governance policies, data protection mechanisms, and data retention policies.
  • Monitor system performance, identify bottlenecks, and optimise database queries for improved system efficiency.
  • Collaborate with stakeholders, gather requirements, and provide technical guidance to ensure the data system meets the organisation's needs.
  • Mentor and provide leadership to your junior team members.
  • Assist in resource allocation and project management activities, ensuring projects are delivered within timelines and budgets.


Technical Requirements

  • Profound knowledge of Business Intelligence – Data Warehouse methodology, ETL, etc.
  • Cloud Solutions in Azure
  • DataBricks / Data Factory experience is highly advantageous


Benefits

  • Performance Bonus
  • Generous Annual Leave allowance
  • Buy and Sell Holiday scheme
  • Medical coverage
  • Life insurance
  • Pension
  • Retail Discounts


Apply Now!

If you are an experienced Data Engineer and you are looking to progress with an organisation that has a fantastic approach to work in a supportive and creative environment, then look no further – this is the role for you!


Referrals:

If this role isn’t right for you, do you know someone that might be interested? You could earn £1,000 of retail vouchers if you refer a successful candidate to Oscar. Email: to recommend someone for this role.


Interviews for this role will be held imminently. To be considered, please send your CV to me now to avoid disappointment.


Role – Data Engineer (Azure)


Skills – Azure / ETL / DataBricks / Data Factory


Location – Remote, UK Based


Salary – Up to £55,000


Work Pattern – One day per month in the office

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