At a Glance
- Tasks: Build and maintain data pipelines using modern Microsoft technologies.
- Company: Seetec, an employee-owned organisation with a strong social purpose.
- Benefits: Competitive salary, 25 days leave, volunteer days, and healthcare cash plan.
- Other info: Inclusive workplace with opportunities for growth and learning.
- Why this job: Launch your career in data engineering and make a real impact.
- Qualifications: Degree in relevant field and knowledge of T-SQL and Python.
The predicted salary is between 30000 - 38000 £ per year.
Are you ready to launch your career in data engineering? We’re looking for a motivated Junior or Graduate Data Engineer to join our Digital & Data team. We also welcome applications from Software Developers.
In this role, you’ll help build and maintain data pipelines, support cloud-based data platforms, and work with modern Microsoft technologies including Azure Synapse, ADLS Gen2 and Microsoft Fabric. This is a great opportunity for someone with strong technical foundations who is keen to learn, grow and make an impact in a collaborative environment.
At Seetec, we’re an employee-owned organisation with a strong social purpose. Our culture is shaped by values including ownership, curiosity, respect, trust and customer focus, and we’re committed to helping people and communities thrive. You’ll join a team where learning is encouraged, your ideas are valued, and your work will contribute to building better data foundations for the future.
If you’re excited by data, cloud technologies and the chance to grow your career in a supportive team, we’d love to hear from you. We welcome applications from candidates with diverse backgrounds and experiences and are committed to creating an inclusive workplace where everyone can succeed.
In return for your dedication, knowledge, and commitment, we’re offering a competitive salary range £30,000 to £38,000 pa (dependent on experience) with these great benefits:
- 25 days annual leave + Bank Holidays + Birthday Day off (with the opportunity to buy additional days)
- 2 Volunteer Days
- Pension - 5% Employee 5% Employer
- Healthcare Cash Plan, incl. 3 x salary life assurance
- Annual Salary pay review
- Refer a Friend Scheme
- Free access to BenefitHub – an online portal with access to a wide range of retail discounts, cycle to work scheme and additional voluntary benefits
Location: Hybrid/Remote
Hours: 37 hours a week
Closing Date: 18 June 2026
Interested? There’s an easy to apply route below to upload your CV! If you need any further information, talk to our experienced Internal Recruitment Team on 01702 595200.
Key Responsibilities
- Develop, maintain and optimise data pipelines to ensure reliable, timely data integration.
- Support existing Azure Synapse and ADLS Gen2 data architecture and help improve performance and stability.
- Build and enhance data transformation processes to improve data quality and usability.
- Assist with data modelling to support analytics and reporting needs.
- Contribute to the transition towards a modern Microsoft Fabric-based data platform.
- Work closely with development teams and stakeholders to deliver data solutions that meet business needs.
- Create clear technical documentation and support continuous improvement across the data estate.
Skills and Experience
- A degree, or equivalent experience, in a relevant subject such as Computer Science, Software Development, Mathematics or Data Science.
- Knowledge of T-SQL and Python.
- An understanding of data engineering fundamentals and data quality principles.
- Familiarity with data modelling concepts such as star schema or snowflake models is desirable.
- Aware of source control and development practices, such as Git or Azure DevOps, is desirable.
- Strong problem-solving skills, attention to detail, and the ability to manage priorities effectively.
- Good communication skills and a collaborative approach to working with others.
Seetec is committed to safeguarding and promoting the welfare of young people and vulnerable adults and expects all staff to share and uphold this commitment in conjunction with the requirements of the Prevent Duty and the positive promotion of modern British values. Dependent on the role you are applying to, you may be required to process a Disclosure and Barring Service (DBS/DS) check. Seetec supports the recruitment of ex-offenders and will not discriminate in any way. Our full policy statement of “Ex-Offenders” can be found on our website under “About us”. Seetec is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.
Junior/Graduate Data Engineer employer: Seetec
Seetec is an exceptional employer that prioritises employee ownership and social purpose, fostering a culture of curiosity, respect, and collaboration. As a Junior or Graduate Data Engineer, you'll benefit from a supportive environment that encourages learning and values your contributions, all while enjoying competitive benefits such as generous annual leave, volunteer days, and a comprehensive healthcare plan. With opportunities for professional growth and a commitment to inclusivity, Seetec is the ideal place to launch your data engineering career.
StudySmarter Expert Advice🤫
We think this is how you could land Junior/Graduate Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 data pipelines or cloud technologies. 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 your technical knowledge and problem-solving skills. Practice common data engineering questions and be ready to discuss your experience with tools like Azure Synapse and Python.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who are genuinely excited about joining our team and contributing to our mission.
We think you need these skills to ace Junior/Graduate Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Junior Data Engineer role. Highlight any relevant projects or coursework, especially those involving data pipelines or cloud technologies like Azure.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share your passion for data engineering and how you align with our values of curiosity and collaboration.
Showcase Your Technical Skills:Don’t forget to mention your knowledge of T-SQL, Python, and any experience with data modelling concepts. We want to see your technical foundations shine through in your application!
Apply Through Our Website:For a smooth application process, make sure to apply directly through our website. It’s the easiest way for us to receive your application and get back to you quickly!
How to prepare for a job interview at Seetec
✨Know Your Tech
Make sure you brush up on your knowledge of T-SQL and Python, as these are key skills for the role. Familiarise yourself with Azure Synapse and ADLS Gen2, and be ready to discuss how you've used these technologies in your projects or studies.
✨Show Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data engineering or software development. Think about specific problems you've solved, the steps you took, and the outcomes. This will demonstrate your analytical thinking and ability to manage priorities.
✨Understand Data Modelling Concepts
While it’s desirable, not everyone knows about star schema or snowflake models. If you’re familiar with these concepts, be ready to explain them. If not, do a bit of research beforehand so you can at least show your understanding of data quality principles and how they relate to data modelling.
✨Be Collaborative
Since the role involves working closely with development teams and stakeholders, highlight your teamwork experiences. Share instances where you’ve collaborated effectively, communicated ideas clearly, and contributed to a positive team environment. This aligns well with the company’s values of respect and trust.
