Data Engineer

We’re on an exciting journey to expand our data and analytics capability, building a brand-new team that will transform how we use data across the business. As a Data Engineer, you will play a key role in designing, building, and maintaining scalable, efficient data pipelines and architectures that power the organisation’s analytics and decision‑making.

Working closely with fellow data engineers, analysts, and a range of stakeholders to ensure data is accessible, reliable, and consistently high quality across all systems and platforms, you’ll implement best practices in data engineering, managing complex data integration processes, and optimise data storage solutions to support growing business needs.

This role also offers strong opportunities for career progression, with clear pathways into positions such as Senior Data Engineer or Data Architect.

This role is full time office based in our office in Speke, Liverpool.

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• Build and maintain scalable, high‑performance data pipelines across diverse data sources.
  
• Integrate data from databases, APIs, and files with reliable, well‑structured ETL processes.
  
• Ensure high data quality through validation, cleansing, and proactive issue resolution.
  
• Design and optimise databases and data warehouses to support analytics and BI needs.
  
• Collaborate with data teams and stakeholders to deliver effective data solutions.
  
• Automate repetitive data tasks and optimise workflows for speed and cost efficiency.
  
• Produce clear documentation and create reports or visuals that support decision‑making.
  
• Implement strong data security, access control, and compliance practices.
  
• Drive continuous improvement by adopting best practices and emerging technologies.
  
• Follow Change Management processes, ensuring peer‑reviewed, assessed, and documented production changes.
  

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• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
  
• Proven experience in data engineering, with strong proficiency in designing and building data pipelines.
  
• Proficiency in programming languages such as Python, SQL, or Java.
  
• Experience with ETL tools and processes, such as dBt, Apache Airflow, Talend, or Informatica.
  
• Strong knowledge of databases (SQL and NoSQL) and data warehousing solutions (e.g., Amazon Redshift, Snowflake, Google BigQuery).
  
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their data services.
  
• Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus.
  
• Designing, building and working in a Snowflake Data Platform would be desirable.
  
• Strong problem‑solving skills and attention to detail.
  
• Excellent communication skills to collaborate effectively with team members and stakeholders.
  
• Relevant certifications in data engineering or cloud technologies are advantageous.
  

If this role excites you and you think you’ve got what it takes, we want to hear from you!

We offer you a range of great benefits including discount in our stores, a colleague portal offering discount for numerous retailers, hospitality & much more! Check out our full benefits here - https://careers.bmstores.co.uk/our-bm-benefits/

B&M Retail are an equal opportunity employer. We are committed to creating an inclusive and diverse environment for all colleagues.