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- Tasks: Design and build scalable data pipelines to transform how we use data.
- Company: Join a forward-thinking team at BM Retail in Speke, Liverpool.
- Benefits: Enjoy discounts, a colleague portal, and great career progression opportunities.
- Why this job: Make a real impact on data-driven decision-making in a dynamic environment.
- Qualifications: Bachelor's degree in a related field and experience in data engineering.
- Other info: Strong focus on collaboration and continuous improvement with emerging technologies.
The predicted salary is between 28800 - 48000 £ per year.
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.
Responsibilities:- 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.
To be successful in this role, you will have a 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!
BM Retail are an equal opportunity employer. We are committed to creating an inclusive and diverse environment for all colleagues.
Data Engineer in Liverpool employer: B&M Retail Limited
Contact Detail:
B&M Retail Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Liverpool
✨Tip Number 1
Network like a pro! Reach out to current data engineers or professionals in the field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like this one.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving ETL processes or data pipelines. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your programming skills, especially in Python and SQL. Practice common data engineering problems and be ready to discuss your thought process during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant programming languages like Python or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our data journey. Be genuine and let your personality come through – we love that!
Showcase Your Projects: If you've worked on any cool data projects, don’t forget to mention them! Whether it's a personal project or something from a previous job, showcasing your hands-on experience can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at B&M Retail Limited
✨Know Your Data Tools
Familiarise yourself with the specific data tools and technologies mentioned in the job description, like Python, SQL, and ETL processes. Be ready to discuss your experience with these tools and how you've used them to build data pipelines or solve problems in past roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in data engineering and how you overcame them. This could involve optimising a data pipeline or ensuring data quality. Highlighting your analytical thinking will demonstrate your fit for the role.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex data concepts in simple terms. Be prepared to discuss how you've worked with stakeholders in the past to deliver effective data solutions, showcasing your communication skills.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, the data projects they’re working on, or their approach to data security and compliance. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
