Junior Data Engineer
Role details
Job location
Tech stack
Job description
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
Requirements
- 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
Benefits & conditions
Pulled from the full job description Referral programme Annual leave Employee discount Life insurance Employee assistance programme Company pension Private medical insurance, * 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