Lead Data Engineer (Python, SQL, Cloud Engineer)

We are looking for a Lead Data Engineer support our Castle project team. You’ll be at the heart of a unique and exciting venture to assemble a new financial services platform as part of a greenfield project. You’ll leverage your industry knowledge to drive the key sourcing and commercials for the platform. Operating like an independent start-up, within an established organisation, you’ll be completely at home with agile frameworks and will fully embrace iterative and flexible commercial approaches.
What’s in it for you?

• Hybrid working
• 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days
• Annual bonus scheme
• Enhanced maternity and adoption leave
• Access to Apricity, a self-funding IVF benefit at a reduced rate
• 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 an Lead Data Engineer at N Brown?

• Lead a team of engineers to create, maintain, and extend our analytics platform.
• Take ownership of the data processing technical domain, including implementing frameworks that will allow N Brown to scale their data processing. You will work with Architecture to ensure we are delivering the very best technologies that deliver value for our business.
• 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.
• Working with governance you will drive solutions that are scalable and robust and ensure we deliver quality data for our customers.
• You will collaborate across squads, and teams driving the adoption of best practice as part of your role, whilst maintaining delivery and outcome focus.
• You will be working in an agile operating model with cross-functional teams.
• Work with our stakeholders whilst delivering the new Financial Services 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 Cloud Platforms is essential, it is not essential for this to be GCP but that would be beneficial.
• Curiosity to experiment and improve, whilst staying aligned on outcomes.
• Understanding of Agile in principles and practices and tools like Jira and Confluence.

What Software and Technology experience will you have?

• Experience with general Cloud products (Cloyd SQL, BigQuery, RedShift, Snowflake, Apache Beam, Spark) or similar products.
• Experience with open-source data-stack tools such as Airflow, Airbyte, DBT, Kafka etc.
• Awareness of data visualisation tools such as PowerBI, Tableau and/or Looker
• Knowledge of Teradata, Mainframe and/or Google Analytics is beneficial.
• Appreciation of data governance, 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