At a Glance
- Tasks: Join our team to develop and maintain data pipelines using Microsoft Fabric.
- Company: Valda Energy, a dynamic energy supplier focused on innovation and customer service.
- Benefits: Competitive salary, bonus scheme, generous leave, private medical insurance, and more.
- Other info: Supportive culture with opportunities for personal development and team events.
- Why this job: Kickstart your career in data engineering with hands-on experience and mentorship.
- Qualifications: Degree in relevant field or equivalent experience; passion for data and technology.
The predicted salary is between 30000 - 35000 £ per year.
The Energy Revolution
Valda Energy is a dynamic and rapidly growing energy supplier based in Bicester, committed to driving business success through smart, reliable energy solutions. Established in 2019 by industry experts, we bring together a diverse combination of talent to foster continuous sustainable growth. We challenge the existing marketplace with our leading, tech-driven, and customer-focused approach. Our passion for innovation and dedication to exceptional service sets us apart. At Valda Energy, we live by our core values: communicate, collaborate, own it, embrace change, and put the customer first. We believe that our people are our greatest asset, and we are dedicated to fostering a supportive and evolving culture. From introducing new benefits to offering structured training opportunities and hosting frequent social events, we ensure our employees thrive.
How you will Energise Our Team
Valda Energy is investing in a modern data platform built on Microsoft Fabric, transforming how data is integrated, managed and used across the business. We’re looking for a Junior Data Engineer to join our growing Business Intelligence team and help build scalable data solutions that support reporting, analytics and automation. This is a great opportunity for someone with a strong technical foundation and a passion for data engineering and software development. You may have experience from a junior commercial role, placement, internship or academic projects, or be a recent graduate ready to take the next step. Working alongside experienced data engineers, you’ll develop data pipelines, integrate data from multiple systems and build your expertise in modern cloud technologies and data platforms.
The day-to-day responsibilities will include:
- Developing and maintaining data pipelines using Microsoft Fabric to ingest, transform and deliver data from a variety of internal and external sources
- Building scalable data solutions that support reporting, analytics and business automation across the organisation
- Integrating data from APIs, databases, files and other business systems into Valda's modern data platform
- Assisting with the design and implementation of data engineering solutions, following established engineering standards and best practices
- Troubleshooting data pipelines, identifying issues and implementing improvements to reliability and performance
- Supporting the automation of manual data processes, helping improve efficiency and reduce operational effort across the business
- Working closely with BI Analysts and business stakeholders to understand data requirements and deliver practical engineering solutions
- Producing clear technical documentation for data pipelines, integrations and engineering processes
- Contributing to the continuous improvement of Valda's Microsoft Fabric platform, engineering standards and ways of working
- Taking ownership of your personal development by learning new technologies, sharing knowledge and developing your data engineering capability
The Spark we're Looking For
- A degree in Computer Science, Software Engineering, Data Science, Mathematics or a related discipline, or equivalent commercial experience
- Around 12 months' experience in a data engineering, software engineering or data platform role, or demonstrable experience through university, personal projects or internships
- Experience building or supporting data pipelines (ETL/ELT) using Python or PySpark, with an understanding of data warehousing or Lakehouse concepts
- Exposure to Microsoft Fabric, Azure Data Services or the wider Microsoft data ecosystem, with a genuine interest in modern cloud-based data platforms
- Strong analytical and problem-solving skills, with a structured approach and a passion for learning new technologies
- Experience working collaboratively within a team, with good communication skills and the ability to explain technical concepts to non-technical stakeholders
Perks that Power Your Journey
- Annual salary between £30k to £35k (dependent on experience)
- Company annual bonus scheme
- 25 days of annual leave plus bank holidays, a length of service award increasing up to 30 days, plus an extra day off during your birthday month
- Private Medical Insurance with Vitality Health
- Access to The Grid, our employee engagement and rewards platform, giving you exclusive discounts at hundreds of retailers, wellbeing resources, recognition tools, and more
- Life Insurance policy, providing coverage at four times your salary
- Employee Assistance Programme offering confidential support and guidance
- Enjoy an array of complimentary snacks, drinks, and lunch options in our office
- Salary sacrifice pension scheme where we will match contributions up to 5%
- In-house learning and development team devoted to nurturing your talent, unlocking potential and propelling you towards being your best
- Refer a friend scheme (up to £500), monthly team events, annual company events & recognition awards
We are extremely proud to be an equal opportunity employer and actively encourage applications from all backgrounds. To make your recruitment experience with us accessible to you, we encourage you to let us know if you have any individual requirements.
Junior Data Engineer in Bicester employer: Valda Energy Limited
Valda Energy Limited is an exceptional employer located in Bicester, offering a dynamic work environment that fosters innovation and collaboration. Employees benefit from a competitive salary, annual bonus schemes, and private medical insurance, alongside ample opportunities for professional growth within the Business Change team. The company's commitment to service excellence ensures that every team member plays a vital role in driving impactful projects that align with strategic business objectives.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in Bicester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Valda Energy Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Engineer at Valda Energy Limited.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Valda Energy Limited.
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We think you need these skills to ace Junior Data Engineer in Bicester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Valda Energy Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Valda Energy Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Valda Energy Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Valda Energy Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
