Lead Data Engineer

Job Description

We are looking for a Lead Data Engineer to join our eCommerce Data team ed from NEXT Head Office in Leicestershire with a competitive salary range of £64,000 - £79,000 with great benefits!

eCommerce Data provides the department and the business the means to see what is working and what is not by drawing data and analysing patterns of shopping on our site and in general.

As an ML Ops Data Engineer within the eCommerce Data team at NEXT your role will involve building and maintaining robust data pipelines and deploying machine learning models into production. You will work closely with data scientists, software engineers, and IT teams to ensure seamless integration and operation of data and machine learning systems. What else is involved?

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Ensure data quality, integrity, and security across all data platforms.
• Collaborate with data scientists to understand data requirements and provide necessary data infrastructure.
• Manage and optimize databases and data warehouses for performance and scalability.
• Collaborate with data scientists to translate prototypes into production-ready solutions.
• Monitor and maintain deployed models to ensure they perform as expected.

You'll be doing all this from our Leicestershire Head Office. Our offices are inspiring, yes. But we understand that life happens. So, we’re big on making sure your work, works for you which is why we offer flexible working.

• Strong knowledge of Python, Spark (Databricks) and SQL and experience with relational and No
  
  SQL databases.
• Good understanding of Data Engineering principles and Data modelling methodologies.
• Advanced expertise in Spark, Performance Tuning and Optimization.
• Strong understanding of working with APIs for data transfers for large scale data.
• Experienced with building and managing CI/CD pipelines, Terraform.
• Excellent problem-solving skills and attention to detail.
• Knowledge of data preprocessing and feature engineering.

• Google Cloud Platform knowledge.
• MLFlow.
• Experience with machine learning frameworks such as MLFlow, Tensor Flow, PyTorch, or Scikit-learn.

So if you have proven experience within Data Engineering with great communication skills and the ability to translate business needs to technical requirements for building data engineering solutions, this is the place for you - and your career.

You know Next, but did you know we’re a FTSE-100 retail company employing over 35,000 people across the UK and Ireland. We’re the UK’s 2nd largest fashion retailer and for Kidswear we’re the market leader. At the last count we have over 500 stores, plus the Next Online and it’s now possible to buy on-line from over 70 countries around the world!

So we’ve gone global!

• 25% off most NEXT, MADE*, Lipsy*, Gap
  * and Victoria's Secret
  * products (
  * when purchased through NEXT)
• Company performance based bonus
• Sharesave scheme
• On-site Nursery available; OFSTED outstanding in all areas
• 10% off most partner brands & up to 15% off Branded Beauty
• Early VIP access to sale stock
• Access to fantastic discounts at our Staff Shops
• Restaurants with great food at amazing prices
• Access a digital GP and other free health and wellbeing services
• Free on-site parking
• Financial Wellbeing - Save, track and enhance your financial wellbeing
• Apprenticeship - Grow and develop on the job whilst gaining a qualification
• Direct to Work - Discount online and instore, collect your items the next day for free from your place of work or local store
• Support Networks - Access to Network Groups to empower and celebrate each other
• Wellhub - Discounted flexible monthly gym memberships, with apps, PT sessions and more

Conditions apply to all benefits. These benefits are discretionary and subject to change.

We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email  (please include 'Workplace Adjustments' in the subject line), or call us on  and leave a voicemail.