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- Tasks: Design and maintain data solutions, optimise ETL pipelines, and create insightful dashboards.
- Company: The Barcode Warehouse, a leading provider of barcode technology and enterprise solutions in the UK.
- Benefits: Birthday off, additional holidays, employee wellbeing budget, and volunteer days.
- Why this job: Join a transformative company and make a real impact with your data skills.
- Qualifications: 2+ years in Data Engineering, strong SQL skills, and experience with Power BI.
- Other info: Dynamic team culture with opportunities for career growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
The Barcode Warehouse is the UK’s leading specialist provider of barcode technology, RFID, labelling and enterprise mobility solutions. The business is currently embarking on a significant transformation, raising the bar to establish itself as a leading technology and software solutions provider across many sectors through investment in systems, infrastructure, people, and a new purpose-built Innovation and Customer Experience centre.
We are seeking a motivated Data Engineer with experience in data modelling, ETL development, and data analytics to join our growing Software & Data Engineering team. The ideal candidate will play a key role in designing, developing, and maintaining our enterprise data warehouse and infrastructure to support customer-facing software and reporting, and data-driven decision-making across the organization.
Key Responsibilities:- Design, develop, and maintain scalable data warehouse architecture and solutions to consolidate data from multiple in-house and third-party sources.
- Build and optimize ETL pipelines using modern tools, automation, and best practices.
- Develop and maintain dashboards, visualizations, and reports using Power BI.
- Collaborate with business stakeholders to gather requirements, translate them into data solutions, and deliver actionable insights.
- Ensure data integrity, quality, consistency, and security across the warehouse and reporting environments.
- Optimize performance of queries and data loads in the warehouse environment.
- Troubleshoot and optimize models for efficient performance.
- Maintain documentation of data models, data flows, and reporting solutions.
- Participate in data governance and contribute to the continuous improvement of data architecture and standards.
- Collaborate with and support our AI team to leverage LLM and machine learning tools to enhance reporting capabilities, automate data insights, and drive predictive analytics.
- 2+ years of experience in Software or Data Engineering, ETL development, and data analytics.
- Proficiency in SQL and data modelling techniques.
- Strong analytical and problem-solving skills with an ability to work independently in an agile development environment.
- Experience with reporting platforms such as Power BI.
- Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar).
- Ability to manage multiple projects simultaneously.
- Excellent communication and collaboration skills.
- Exposure to Agile/Scrum methodologies.
- Experience with cloud platforms (Azure, AWS, or GCP).
- Experience in working with large-scale datasets and performance improvements.
We are an equal opportunities employer and disability confident.
Data Engineer in Newark on Trent employer: The Barcode Warehouse
Contact Detail:
The Barcode Warehouse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Newark on Trent
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at The Barcode Warehouse. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving ETL development and data visualisation. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and data modelling techniques. Be ready to discuss how you've tackled challenges in previous roles and how you can contribute to the exciting transformation at The Barcode Warehouse.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our team at The Barcode Warehouse.
We think you need these skills to ace Data Engineer in Newark on Trent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience in data modelling, ETL development, and analytics. We want to see how your skills align with 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 passionate about data engineering and how you can contribute to our transformation at The Barcode Warehouse. Keep it engaging and personal!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include examples of your work with data warehouses, ETL pipelines, or Power BI dashboards. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at The Barcode Warehouse
✨Know Your Data Inside Out
Make sure you brush up on your data modelling and ETL development skills. Be prepared to discuss specific projects where you've designed or optimised data warehouses, and how you tackled challenges in those scenarios.
✨Showcase Your Analytical Skills
Be ready to demonstrate your problem-solving abilities. Think of examples where you've used SQL or reporting tools like Power BI to derive insights from data. This will show that you can not only handle data but also turn it into actionable information.
✨Understand the Company’s Vision
Research The Barcode Warehouse and their recent transformation initiatives. Knowing their goals and how your role as a Data Engineer fits into their plans will help you align your answers with their vision during the interview.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of times when you've worked with stakeholders to gather requirements or improve data solutions. Be ready to discuss how you communicate and collaborate effectively with others.
