Medical technology internship Work, Jobs (with Salaries)

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- Annual leave
- Employee assistance programme
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Junior Data Engineer

Valda Energy -
Bicester

Apply Now

Job details

Graduate
£30,000 - £35,000 a year
5 days ago

Benefits

Annual leave
Company pension
Company events
Employee assistance programme
Private medical insurance
Employee discount
Life insurance
Referral programme

Qualifications

Azure
Computer Science
Engineering
Spark
Analysis skills
Data pipeline
Software development
APIs
Communication skills
Data warehouse
Python

Full job description

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. Experience with Microsoft Fabric, Azure or the wider Microsoft data ecosystem is beneficial but not essential — we’ll provide support and mentoring as you grow.

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

If you like the sound of this role, we encourage you to apply even if you aren’t confident that you meet all of the requirements – you may be just who we’re looking for. 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. We are here to support you, so please reach out to our team on [email protected]

Apply Now

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