At a Glance
- Tasks: Join our Group Analytics team to develop and maintain data reporting and analytics.
- Company: Reflex Group, the UK's largest privately owned print and packaging company.
- Benefits: Hybrid work, flexible hours, competitive salary up to £35,000, and career growth.
- Other info: Opportunity to work in a fast-paced, innovative company with a focus on quality and ethics.
- Why this job: Make a real impact by ensuring accurate data for decision-making in a dynamic environment.
- Qualifications: Strong SQL skills and experience with Power BI and ERP systems required.
The predicted salary is between 30000 - 35000 £ per year.
Established in 2002, the Reflex Group is now the largest privately owned print and packaging company in the UK having grown to over 1000 employees across 27 sites in the UK, Europe, America and Australia. The company prides itself on quality, efficiency, ethics, and low environmental impact whilst being innovative and dynamic.
Location: Hybrid, with a minimum of two days per week at Langley Mill, Derbyshire
Position type: Full time, Permanent
Working Hours: Monday to Friday, flexible office hours
Salary: up to £35,000 depending on experience
About the Role
We are seeking a Junior Data Engineer to join our Group Analytics team. This is a hands-on role suited to someone with strong technical ability and experience working with business data. You will support the development, maintenance, and improvement of our reporting and analytics environment, working across SQL, Power BI, Microsoft Fabric, and multiple ERP systems. The role is key to ensuring business users have access to accurate, reliable, and timely data to support decision-making.
Key Responsibilities
- Develop, maintain, and support SQL queries for reporting and data extraction
- Work with data from multiple ERP systems and internal platforms
- Support the development and maintenance of Power BI dashboards, reports, and semantic models
- Assist with Microsoft Fabric processes (Datamarts, Warehouses, Lakehouses, and reporting outputs)
- Transform, clean, and validate data from multiple sources
- Support Excel reporting and Power Query processes where required
- Troubleshoot reporting issues, data inconsistencies, and failed refreshes
- Help improve the quality, structure, and reliability of reporting outputs
- Work with internal stakeholders to understand reporting requirements and deliver data solutions
- Document data logic, reporting processes, and recurring tasks
- Identify opportunities to improve manual reporting and enhance data quality
Required Skills & Experience
- Strong SQL skills, including writing and troubleshooting queries
- Experience supporting or developing Power BI reports and dashboards
- Experience with Microsoft Fabric or exposure to Fabric-based tools
- Experience working with data from ERP or business systems
- Strong Excel skills, including formulas and data structuring
- Working knowledge of Power Query or similar tools
- Proficiency in Microsoft 365
- Understanding of data validation, accuracy, and reporting principles
- Strong communication skills and ability to work with both technical and non-technical stakeholders
- High attention to detail and problem-solving ability
Desirable Skills
- Python for data processing or automation
- Power Platform experience
- DAX and Power BI optimisation
- Data modelling and semantic model design
- Data warehousing concepts
- API integration or data extraction
- Git or version control
- Experience within manufacturing, print, packaging, or labels
- Experience working with finance, sales, production, or customer data
- Exposure to data governance and documentation processes
Personal Attributes
- Analytical and logical thinker
- Curious and keen to learn
- Detail-focused and accuracy-driven
- Able to solve technical problems independently
- Clear communicator with non-technical stakeholders
- Well-organised and able to manage competing priorities
- Proactive and solution-focused
- Comfortable working in a fast-paced, evolving environment
What Success Looks Like
- Reporting systems run reliably and consistently
- SQL, Power BI, and Fabric outputs are well maintained and continuously improved
- Data from multiple systems is accurate and consistent
- Reporting issues are resolved quickly and effectively
- Business users have access to clear and actionable data
- Manual reporting effort is reduced
- Processes and reporting logic are well documented
- The business continues to improve its data and analytics capability
Senior Engineer, Data Engineering employer: Reflex Group
At Reflex Group, we pride ourselves on being an innovative and dynamic employer that values quality, efficiency, and ethics. Our hybrid working model allows for flexibility while fostering a collaborative environment at our Langley Mill site in Derbyshire. With over 1000 employees, we offer ample opportunities for professional growth and development, ensuring that our team members are equipped to thrive in their roles and contribute to our commitment to low environmental impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Power BI dashboards, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and problem-solving approach, especially when it comes to SQL and data validation.
✨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 proactive about their job search.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Junior Data Engineer. Highlight your SQL skills, experience with Power BI, and any relevant projects you've worked on. We want to see how your background fits 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 your skills align with our needs. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! If you’ve worked on specific projects involving SQL or Power BI, mention those. We’re keen to see how you’ve applied your knowledge in real-world scenarios.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Reflex Group
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with writing and troubleshooting queries, as this is a key requirement for the role. Practising common SQL problems can help you feel more confident when discussing your technical abilities.
✨Show Off Your Power BI Skills
Since the role involves developing and maintaining Power BI dashboards, it’s essential to showcase your experience with this tool. Bring examples of reports or dashboards you've created, and be ready to explain your thought process behind the design and data selection.
✨Understand the Business Context
Familiarise yourself with the Reflex Group and its operations. Understanding how data impacts decision-making in a print and packaging company will help you connect your technical skills to their business needs. This shows that you're not just a techie but also someone who understands the bigger picture.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially regarding data inconsistencies or reporting issues. Think of specific examples from your past experiences where you successfully identified and resolved such challenges, and be ready to share them during the interview.
