Data Engineering Manager
£80,000 – £90,000+ Benefits
London – Hybrid
The Company
This Data Engineering Manager role operates within the commercial and retail space with one of the great retailers that operate within the U.K. They are a multi-channel, multi-brand business serving millions of customers a day with an ever-evolving set of digital platforms. All of this equals over 1.2 billion transactions a year, presenting a volume, depth, and complexity of data that few can match whilst using the most cutting-edge technology.
The Role
As a Data Engineering Manager, you will lead a multi-skilled team of 8 engineers to build capabilities for their cloud data platform
In specific, you can expect the following:
- Recruit, lead, develop and motivate your multi-skilled engineering team
- Plan and deliver your team's roadmap of technical products
- Contribute to the design and implementation of new systems using cutting-edge cloud technology
- Deeply understand the products you own throughout their lifecycle – through build + run
- Advocate and embed Agile methodology
- Collaborate with product managers, architects, and the wider data community
Your Skills And Experience
The successful Data Engineering Manager will have the following skills and experience:
- Proven experience in leading high-performing engineering teams to deliver complex systems
- An empathetic leader who empowers and mentors your colleagues
- Comfortable rolling up your sleeves to collaborate on complex technical problems when needed
- Experienced writing production systems in at least one language
- A proponent of solid engineering practices i.e DevOps, CI/CD, and IaC
- Ideally, data engineering experience with tools such as Python, SQL, Snowflake, and Spark
The Benefits
The successful Data Engineering Manager will receive a salary up to £90,000, a great working from home structure (2 days in the office a week), and 10% dedicated time towards your professional development
Apply
Please register your interest by sending your CV to Ashley Lal via the Apply link on this page
Keywords:
Python, Cloud, AWS, GCP, Software, Data, Big Data, Leadership, Management, Manager, Stakeholder, Automation, CI/CD, Testing, Agile, Developer
