Senior Engineer – AWS, Terraform, Docker, Python/PySpark, SQL, Snowflake, DBT

Why join us

We’re unlocking petabytes of untapped potential. We have thousands of shops, hundreds of thousands of colleagues, and millions of customers. Just imagine the data. We want to use it all to enable business decisions that can’t be made anywhere else. You’ll also have the chance to be yourself – analytical, curious, and unafraid to learn new skills or challenge the status quo. You’ll always look to improve the way things are done in your team, too.

What you'll do

As the central repository for sales data, we develop key business metrics for our data teams and business users to utilise in various critical discussions related to business strategies, campaigns, marketing initiatives, and workforce forecasting. This is achieved through the utilisation of cutting-edge technologies such as Snowflake, DBT, and other tools in the market space. These solutions enhance efficiency, accelerate data ingestion into our reporting platform, improve data quality, and guarantee data security and compliance.

We prioritise product development and data analysis, placing a strong emphasis on design and seeing projects through from start to end. This involves extensive coding, as well as implementing automation for tasks such as deployments(CICD) and testing (TDD). Additionally, we prioritise the use of DQ checks and Monitoring/ Alerting aspects to ensure the smooth operation of live applications.

As a Senior Data Engineer, your role will be pivotal in collaborative design sessions and the creation of efficient pipelines using Snowflake, as well as establishing infrastructure in AWS to construct API services for data delivery to end users. Your deep understanding of technology and engineering principles will enable you to drive the product technical road map and contribute to optimising OPEX and CAPEX spend.

As a role model for best practices, you will champion a customer-centric mindset, mentor other engineers, and support performance within the team. Your expertise in SQL and programming languages within our ecosystem, coupled with your passion for data and delivering solutions, continuous improvement, and staying updated with emerging technologies, will contribute to our mission of providing amazing shopping experiences for our millions of customers across the UK.

Who you are

You are an accomplished professional driven by a passion for data and for delivering cutting-edge technology solutions that elevate customer experiences and optimise business operations. With our extensive and intricate datasets, you have the opportunity to architect and develop large-scale pipelines in Snowflake and cloud-based API services to deliver data to end users using tools/languages like Snowflake, DBT, AWS, Terraform, Docker, SQL and Python/PySpark. Your expertise in programming languages within our ecosystem, deep knowledge of engineering and architectural principles, and strong understanding of software design and implementation make you a valuable asset to our engineering team.

Thriving in dynamic, agile environments, you are committed to continuous improvement, championing best practices, and staying up to date with emerging technologies. Your drive, inquisitive nature, and customer-centric mindset empower you to mentor and support colleagues, fostering a culture of excellence and ensuring the delivery of top-notch products. Equally important is your background as a Data Engineer or in a related field, coupled with a dedication to implementing sound coding practices.

Initiative and curiosity are going to be crucial, and you’ll also prefer to take ownership of your work so that you can see it through. Furthermore, as a data and engineering enthusiast, you're encouraged to share your perspectives and innovative ideas on both the areas — we love new thinking.

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.

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APPLY HERE: Senior Engineer - AWS, Terraform, Docker, Python/PySpark, SQL, Snowflake, DBT