Senior Engineer, Data Engineering

5 days ago

Bolton Greater Manchester, United Kingdom AO Full time

Coupled with our high-reaching growth plans over the coming years, now is the right time to grow our Data Engineering team. Reporting to the Data Engineering lead, this role will be responsible for implementing the new data technologies and pipelines required to support our business as they move towards a data-driven future.
We’ll be looking for you to deliver new data technologies and data pipelines within AO’s Azure and AWS environment. Working with Snowflake, Databricks and lakehouse, you will be responsible for ensuring data is at our business users’ fingertips as and when they need it.
You will be entering a brown-field environment, helping us to deliver to current business commitments plus also build out our new, next-gen analytics environment. This will enable real-time analytics, machine learning and AI to be democratised across the business.
Working daily hand-in-hand with the business to uncover data engineering use cases and embed solutions in their daily processes. We’ll look to you to help develop and implement standards, best-practices, subject matter expertise and guidelines for the department and wider business.
You’ll bring significant, relevant long-term experience, ideally across a mixture of technical data engineering disciplines and working closely with business. You will have already driven data engineering projects and delivered business benefits in earlier roles. You’ve got fresh ideas and a desire to build a data-driven culture. You’ve got a proven record of keeping your stakeholders up to speed in terms of art of the possible, and in terms of immediate deliverables.
The ideal candidate will have extensive expertise in building and maintaining data pipelines, optimizing data workflows, and ensuring the reliability and scalability of our data infrastructure. You will play a key role in designing and implementing solutions to support our data analytics initiatives.
Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Glue, Databricks/Snowflake, and Lambda functions.
Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
Optimize data workflows for performance, reliability, and cost-efficiency.
Implement best practices for data governance, security, and compliance.
Troubleshoot and resolve issues related to data processing, storage, and access.
Develop and maintain documentation for data pipelines, schemas, and processes.
Mentor junior members of the team and provide technical guidance and support.
Help define and embed data engineering standards, processes, best practices and design patterns.
When it comes to appliances and electricals, we’ve got the lot. Washing machines? Yep. TVs? Check. Everything except doorbells (just kidding, we’ve got those too).
We’re known for helping our customers brilliantly - and it’s no different for AOers. Holidays; 25 days, plus bank holidays (increasing to 27 days after 2 years with us)
Pension; discounted gym membership, an onsite spa and our Help @ Hand scheme giving you access to virtual GP’s, Mental Health support and much more.
Discounts; exclusive discounts across our product range.
Family leave; Enhanced Maternity, Paternity and Adoption leave.
start your day with free on site parking, grabbing a complimentary breakfast and a coffee at our subsidised Starbucks

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