Data Engineer

ao.com; Bolton; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading online electrical retailer in Bolton is seeking an experienced Data Engineer to design and maintain data pipelines using AWS and Databricks. You will collaborate with cross-functional teams to optimize workflows and implement data governance standards. Ideal candidates have a track record in data engineering and a passion for building a data-driven culture. This position offers competitive benefits and a hybrid work model.

Benefits

25 days holidays plus bank holidays

5% pension contribution

Discounted gym membership

On site perks including free breakfast

Enhanced family leave

Qualifications

• Significant experience in data engineering projects with business impact.
• Expertise in building and maintaining data pipelines.
• Familiarity with optimizing data workflows for performance.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with teams to understand data requirements.
• Optimize data workflows for reliability and cost-efficiency.
• Implement best practices for data governance and security.

Skills

Data pipeline design

AWS

ETL processes

Databricks

Snowflake

Data governance

Education

Relevant degree in computer science or related field

Tools

AWS Glue

Lambda functions

Job description

We’ve seen exponential growth here at AO over the past 12 months. 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.

Here’s What You Can Expect To Be Doing

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.

You’ll be an influencer of technology and business teams. 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.

A Few Things About You

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’ll be comfortable with delivering change in a fast-paced, demanding environment and driving results that change the business.

You’ll be in-the-know about industry trends and best practice. 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.

Key Responsibilities

• 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.
• Deliver quick wins to the AO business.
• 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.
• Create strong relationships with key stakeholders across both Tech and the wider group.

A Bit About Us

When it comes to appliances and electricals, we’ve got the lot. Washing machines? Yep. TVs? Check. Laptops? Absolutely. Everything except doorbells (just joking, we’ve got those too).

We’re known for helping our customers brilliantly - and it’s no different for AOers. We care about more than what’s on your CV, because together we can do extraordinary things.

Our benefits are designed to cover the moments that matter to AOers. From health and wellness to giving back - you’ll be rewarded inside and outside of work.

• Holidays; 25 days, plus bank holidays (increasing to 27 days after 2 years with us!)
• Pension; Contribute 5% of your annual salary and we'll do the same, giving you a little extra support for the future.
• Be a VIP at the AO Arena; we have loads of opportunities to win free tickets and pre-sale access!
• Health & wellbeing; 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.
• Making a difference; 2 fully paid days a year to donate your time to any charity of your choice.
• On site perks; start your day with free on site parking, grabbing a complimentary breakfast and a coffee at our subsidised Starbucks!

To see all our benefits and perks, visit our AO Benefits page.

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Job Title:Data Engineer Location:Bolton Hybrid

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