Lead Data Engineer at Boots
Nottingham, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

15 Aug, 25

Salary

0.0

Posted On

15 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Spark, Coaching, Scrum, Leadership Skills, Ml, Data Engineering, Line Management, Python, Team Leadership, Kimball, Sql, Commercial Awareness, Project Delivery

Industry

Information Technology/IT

Description

SUMMARY

Job Reference: 252416BR
Nottingham Support Office
Permanent
37.5 Hours
Job Title: Lead Data Engineer
Location: Nottingham
Contract: Perm
Recruiter: Noaman Hussain

Responsibilities

ABOUT THE ROLE

The Data Platform team builds and maintains our self-serve data platform for our international divisions. Seeking to better align ourselves with our organisation needs, we take a business domain-oriented approach to organising our data engineering and data products. Data domains are very broad across our business encompassing Retail, Pharmacy, Healthcare, Marketing, Product, Merchandising, Opticians etc.
As a Lead Data Engineer, you will work with the platform teams to design and implement engineering patterns that allow us to maximise the value of our data for our customers and patients. You will report to the Head of Analytics Engineering and you will line manage Senior Data Engineers. Using your data engineering expertise, you will coach and support your team, building it into a high performing team fostering a culture of continuous learning and improvement. Your expertise will be crucial in optimizing data workflows and implementing best practices to support our data-driven initiatives.

These are the essential skills or experience needed to succeed in this role.

  • Experience developing data warehouses, Business Intelligence/Management Information or ML and AI solutions
  • Experience developing large scale data engineering solutions in Microsoft Azure cloud technologies (preferably Databricks too)
  • ‘Hands on’ experience of data engineering within an analytics environment.
  • Expert knowledge of one or more data languages including SQL, Python and Spark.
  • Experience of coaching and developing your peer’s knowledge and understanding of modern data engineering principles and practices.
  • Experience of data warehousing techniques such as Kimball dimensional modelling.
  • Experience of line management or team leadership.
  • Excellent communication, organizational and leadership skills.
  • Strong problem-solving abilities and attention to detail
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