Data Engineer

NEW LOOK; Weymouth; On-site; GBP 40,000 - 70,000

Job description

We're the feel-good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK.

By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other.

THE ROLE

We are seeking a highly skilled and experienced Data Engineer to join our dynamic team.

As a Data Engineer, you will play a critical role in the design, development, and maintenance of our data infrastructure and pipelines.

You will work closely with data scientists, business stakeholders, and other cross-functional teams to ensure that data is accessible, reliable, and secure.

WHATS IN IT FOR YOU

• 40% staff discount plus friends & family discounts throughout the year
• Access to our reward platform for external discount and offers
• Private pension scheme
• Profit related bonus scheme
• Virtual GP access for you and your children - it allows you to speak to a doctor at a time and date that suits you
• All employees are covered by our life assurance policy from day one
• Unlock extra leave with our buy more holiday scheme.
• Celebrate YOU! Enjoy an extra paid day off on your birthday each year
• Spread the cost of your commute with interest-free season ticket loans
• Do your bit for the environment and save money with our Cycle2Work scheme
• We're proud to partner with the Retail Trust and Fashion & Textile Children's Trust

WHAT YOU'LL BE DOING

• Design, build, and maintain scalable data pipelines for large datasets.
• Monitor and optimize the performance of data pipelines and systems.
• Follow best practices, coding standards, and data engineering principles within the team.
• Ensure data security and privacy through the implementation of appropriate access controls and data encryption.
• Stay up to date with the latest advancements in data engineering and big data technologies.
• Work with data scientists to ensure that their models can be effectively integrated into production environments.
• Preparing data for predictive and prescriptive modelling.
• Identifying ways to improve data reliability, efficiency, and quality.
• Use data to discover tasks that can be automated.
• Work in short development cycles and with high deployment frequency to incrementally deliver data products, from data ingestion and transformation to dashboards, reports, and BI and ML pipelines.
• Play a key role in technical design and ongoing development of templates, reference code examples, and code libraries for data products ETLs, and analytics and machine learning pipelines.
• Build and maintain highly validated data-marts with ensured clarity and correctness of key business metrics for BI reporting purposes.

WHO YOU ARE

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Strong experience in data pipeline development and management.
• Excellent knowledge of programming languages such as Python and SQL.
• Proficient in big data technologies such as Hadoop, Spark, and NoSQL databases.
• Experience with cloud computing platforms such as AWS, GCP, and Azure.
• Ability to effectively communicate technical concepts to non-technical stakeholders.
• Experience with big data processing framework such as PySpark.
• Experience with a cloud-based platform for big data processing and machine learning such as Databricks.
• You are committed and determined to break down barriers to progress and you deliver results quickly. You innovate boldly and make improvements to solve business wide problems. You lead others by inspiring and always embrace change.
• You can adapt your style, content, and method of communication to the situation and audience.

WHY NEW LOOK?

We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We're proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values.

We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals.

We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we're keen to discuss this with you in line with the output needed for the role.

Please ensure that your CV is in simple format e.g. Microsoft Word when applying using your CV to ensure smooth application process.