Data Engineering Manager

Notonthehighstreet.com; United Kingdom; Remote; GBP 85,000 - 95,000; Full time

Job summary

An innovative e-commerce platform in the UK is seeking a Data Engineering Manager to lead their data infrastructure strategy. This hands-on role involves overseeing a team of engineers and managing the complete data engineering stack to drive business insights. Ideal candidates will possess strong Python, SQL, and AWS skills, along with a commitment to agile practices. This position offers a competitive salary and supports a remote-first work culture.

Benefits

Private medical insurance

Health cash plan

20% discount on website

25 days of holidays plus bank holidays

Flexible remote work arrangements

Qualifications

• Experienced data engineer comfortable leading both technical architecture and team development.
• Proven ability in mentoring technical talent and developing high-performing engineering teams.
• Strong stakeholder management skills.

Responsibilities

• Own the complete data engineering stack, from pipelines through to platform architecture and BI tools.
• Support and develop 3 data engineers and data scientists.
• Collaborate with the Analytics team, delivering infrastructure supporting actionable business insights.

Skills

Expert Python and SQL skills

Strong AWS expertise

Extensive ETL/ELT pipeline development

Data warehouse experience

Docker containerisation knowledge

Experience with Orchestration tools

Advanced dbt experience

Job description

Data Engineering Manager

Department: Product

Employment Type: Full Time

Location: United Kingdom

Compensation: £85,000 - £95,000 / year

Description

The Role
In the role of our Data Engineering Manager, you'll be a hands-on technical leader driving our data infrastructure strategy. You'll own the complete data engineering stack whilst supporting a focused team of 3 engineers and data scientists. This position offers significant technical authority and business impact, shaping how data powers our marketplace decisions and customer experiences. Our current stack includes: Snowflake, dbt, Airflow, AWS, Stitch, Looker and Count.

The ideal candidate will be:

• An experienced data engineer comfortable leading both technical architecture and team development.
• Equally effective in writing production code and mentoring engineers with a hands-on leadership style.
• Respected for translating complex business needs into scalable technical solutions.
• Committed to agile practices, continuous learning and cross-functional collaboration.

Accountabilities

Technical Leadership & Architecture

• Own the complete data engineering stack, from pipelines through to platform architecture and BI tools.
• Design marketplace-focused data models enabling rapid experimentation and reliable insights.
• Build robust ETL/ELT pipelines managing large-scale datasets with exceptional performance standards.
• Ensure data quality, reliability and system performance across all infrastructure.

Team Development & Culture

• Support and develop 3 data engineers and data scientists through mentoring and technical guidance.
• Foster a technical excellence culture, promoting continuous learning and best practices.
• Drive agile delivery methods, ensuring iterative improvement and consistent value delivery.

Business Partnership & Impact

• Collaborate with the Analytics team, delivering infrastructure supporting actionable business insights.
• Enable self-service data access, empowering product and commercial teams with direct data control.
• Support machine learning initiatives through scalable data foundations and robust architecture.
• Transform business requirements into technical solutions, driving measurable customer outcomes.

Some key skills and experience you’ll need...

Technical Expertise

• Expert Python and SQL skills with proven performance optimisation experience in production environments.
• Strong AWS expertise in designing and implementing cloud-native data architectures.
• Extensive ETL/ELT pipeline development, managing complex data workflows and transformations.
• Data warehouse experience, preferably Snowflake or BigQuery, with advanced modelling capabilities.
• Docker containerisation knowledge and test-driven development practices.
• Experience with Orchestration tools like Airflow or Dagster.
• Advanced dbt experience, including the use of custom macros and complex incremental models.

Leadership Skills

• Proven ability in mentoring technical talent and developing high-performing engineering teams.
• Strong stakeholder management skills, working effectively across business functions.
• Experience translating business needs into technical roadmaps and architectural decisions.
• Excellent communication skills, influencing technical and non-technical stakeholders.

Desirable Experience

• Machine learning pipeline development and MLOps practices.
• Infrastructure as Code experience using Terraform or similar technologies.
• Experience with GitHub Actions, Jenkins or other similar technologies.

Don’t meet every single requirement? No problem. Your strengths, passion & fresh perspective could be just what we’re looking for - so we encourage you to apply!

What we offer

Our perks

It's super important to us to make sure everyone feels safe and looked-after, which is why we've got a wide range of benefits in place. From supporting you and your loved ones with healthcare to cheeky \'just because\' gifts, we're here for you. We've got a ton of good stuff for everyone - like private medical insurance, a health cash plan, an electric vehicle scheme, mental health platform access, cycle to work scheme, and a 20% discount on our website. To find out more about what we offer, have a look here.

We've also worked very hard to come up with a set of policies to support our people in any situation- like medicalised leave, menstrual leave, and primary carer leave.

Full-time NOTHS-ers get 25 days of holidays each year (plus bank hols!), as well as having the opportunity to work from anywhere for two calendar months a year. Did someone say beach holiday?

How we work

Here at NOTHS, we embrace a remote-first approach to work, recognising the value of flexibility and the diverse talents that remote teams bring to the table. Our remote work culture is designed to empower our employees, foster collaboration, and create a community that transcends physical boundaries. Under this framework, all of us operate remotely, convening as teams at regular intervals that suit each team best. These gatherings serve various purposes, including ideation sessions, hackathons, or simply fostering valuable face-to-face interactions. Every quarter, we hold a Get Together and the whole company meets for a fun-filled day (with no shortage of food!) with some special guests... our small brand Partners!

Want to find out more? Take a look here.

Diversity, Equity, & Inclusion

DEI is really important to us and that’s why everyone’s welcome at Not On The High Street – whoever they are, whatever their background. We are committed to embracing and encouraging our employees’ uniquenesses- whether this is in age, people with disabilities, ethnicity, family structures, gender, LGBTQ+ identity, lower income backgrounds, race, religion, the intersectionality or all/any of these and other aspects making us who we are. We take pride in treating all of our employees fairly and we want our people to feel respected, valued and recognised within the workplace. As part of your application, you’ll be asked to complete an optional demographic survey to help us learn more about who wants to work with us. Responses will only be used to help us figure out how to make our team even more inclusive and attract more brilliant people to join us! We'll also ask whether you need us to make any reasonable adjustments to the interview process should you need them and you can answer this question should you choose to in the application phase.

Apply to join Team NOTHS!

Our recruitment processes are fully remote, taking advantage of the wonders of modern-day technology.

We’d love to hear more about you, your experience and why you want to join our team.

Good luck!