LEAD DATA ENGINEER

We’re looking for a Lead Data Engineer to join our Data Engineering team. Are you looking to shape a new team, work with the latest technologies in data, and solve complex problems? We are looking for a Data Engineering Lead to help bring data to the heart of N Brown. You will be part of Group Data and will focus on exploring solutions to maintain, improve, and scale our use of data.

What’s in it for you?

• Hybrid working and flexible start times
• 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days
• Annual bonus scheme
• Enhanced maternity and adoption leave
• Company pension with up to 8% N Brown contribution
• Mental Health support both internally and externally, including access to our wellbeing champions and counselling services
• A range of financial wellbeing support
• Colleague discount across all N Brown brands
• Onsite café with subsidised rates and local restaurant discounts!
• Life Assurance and Private Medical Insurance
• Paid volunteer time – all our colleagues can take a full day paid to volunteer for a charity of their choice

What will you do as a Lead Data Engineer at N Brown?

• Lead a team of engineers to create, maintain, and extend our analytics platform.
• Be responsible for the design patterns for ingesting, transforming, and exposing data.
• You will drive the adoption of strong CICD practises to reduce risks to deployments.
• Coach your team in best practice and coding standards. Work with the wider Data Engineering and Group Data team to share ways of working.
• Develop your team’s capabilities in software development to better enable them to support the analytics platform. Champion test-driven quality first engineering practises.
• You will collaborate across technology squads and teams as part of your role, whilst maintaining delivery and outcome focus.
• You will be working in an agile operating model with cross-functional teams.
• Effectively manage the Analytics Platform, ensuring the platform is reliable, scalable, and secure. You will take a proactive approach to monitoring.

What skills and experience will you have?

• A strong communicator, able to bring complex technical concepts to life for business stakeholders and equally convey business needs effectively to technical audiences.
• Experience delivering large-scale transformation projects with focus on defining end-to-end data architecture.
• An experienced data engineer with a deep interest in how data architectures can improve experiences and drive better business decision making.
• Experience working with the Google Cloud Platform stack (GCS, Big Query, Composer, Dataflow, Cloud Functions, Cloud Run, GKE) is preferred, but not essential.
• Curiosity to experiment and improve, whilst staying aligned on outcomes.
• Understanding of Agile in principles and practices and tools like Jira and Confluence.
• Experience with Google Cloud products (BigQuery, GCS, Cloud Composer, Dataflow etc.) or similar products from other cloud platforms
• Experience with open-source data-stack tools such as Airflow, Airbyte, DBT, Kafka etc.
• Experience with data visualisation tools such as PowerBI, Tableau and/or Looker
• Knowledge of Teradata, Mainframe and/or Google Analytics is preferable
• Appreciation of data management, analytics, science, and visualisation workflows and data needs
• Appreciation of the modern cloud data stack, headless BI, analytics engineering, data meshes and lake-houses

Our promise to you:

We’re an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

What happens when you apply to a role at N Brown?

As soon as we receive your application, we’ll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck!

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.