Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain data pipelines using Microsoft Fabric to drive insights.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Enjoy a fantastic hybrid working environment and career growth opportunities.
- Other info: Collaborate with a dynamic team and enhance your skills in a supportive environment.
- Why this job: Kickstart your data engineering career and make a real impact in various industries.
- Qualifications: Eager learners with a passion for data and problem-solving are encouraged to apply.
The predicted salary is between 28000 - 35000 £ per year.
We are seeking a Junior Data Engineer to support the design, development, and maintenance of our data platform within the Microsoft Fabric environment. This role is ideal for someone early in their data engineering career who is eager to build scalable data solutions that drive insights across manufacturing, supply chain, and retail operations. You will work closely with data engineers, analysts, and business stakeholders to ensure reliable, high-quality data pipelines and contribute to a modern, cloud-based analytics ecosystem.
Responsibilities and Qualifications
- Assist in building and maintaining data pipelines using Microsoft Fabric components (Data Factory, Dataflows, Lakehouse, Warehouse)
- Ingest data from multiple sources including ERP, POS systems, IoT devices, and third-party vendors
- Support ETL/ELT processes to transform raw data into curated datasets for analytics and reporting
- Write and optimize SQL queries and Spark-based transformations
- Monitor data pipelines and troubleshoot failures or performance issues
- Ensure data quality, consistency, and integrity across systems
- Participate in data model design for reporting and analytics use cases
- Work with analysts and business teams to understand data requirements
- Support reporting needs in Power BI by delivering clean, structured datasets
- Contribute to documentation of data flows, pipelines, and data definitions
- Learn and apply best practices in data engineering, DevOps, and data governance
- Identify opportunities to improve automation, reduce data latency, and enhance data reliability
- Can be relied upon to work proactively – a candidate who would prefer to be less busy need not apply.
- Takes ownership – data engineering is often about fixing processes that are broken before anyone else notices; successful candidate will demonstrate willingness to identify and fix problems without input from other people.
- Strong attention to detail – details matter; demonstration of going above and beyond to ensure development is consistent and well organised.
- Flexibility and humility – essential for good team working.
- Demonstrated detail-oriented mindset.
- Demonstrated interest in computer-related problem solving (development, scripting, PC-building and performance tuning, electronics etc).
- Fantastic hybrid working environment: working Mon-Thu on site and generally Fridays from home.
- Opportunity to grow your career.
Junior Data Engineer employer: Wonderfield Group
Contact Detail:
Wonderfield Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with data engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric components. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and Spark-based transformations. Be ready to discuss how you've tackled data quality issues or improved data pipelines in past experiences. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Junior Data Engineer role. Highlight any relevant projects or coursework, especially those involving Microsoft Fabric components or data pipelines.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of how you've tackled data-related challenges or projects, and express your eagerness to contribute to our team.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL and any experience with ETL/ELT processes. If you’ve worked with Power BI or similar tools, let us know! We love seeing candidates who can hit the ground running.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Wonderfield Group
✨Know Your Tech Stack
Familiarise yourself with Microsoft Fabric components like Data Factory, Dataflows, and Lakehouse. Be ready to discuss how you've used similar tools or technologies in your projects, even if they're from your studies or personal projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges. Whether it's fixing a broken process or optimising a query, demonstrating your proactive approach will impress the interviewers.
✨Understand Data Quality
Be prepared to talk about the importance of data quality, consistency, and integrity. Share any experiences where you ensured high-quality data in your previous work or academic projects.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the role and the company. Inquire about their current data challenges or how they envision the future of their data platform. This shows you're engaged and eager to contribute.