2 months ago
Remote, United KingdomEntry Level
Responsibilities
- Develop and maintain internal reporting solutions for operational and business decision-making.
- Build and improve reusable engineering frameworks, templates and accelerators.
- Produce technical documentation, standards and engineering guidance.
- Support internal tooling that improves delivery consistency and engineering quality.
- Participate in code reviews, technical knowledge sharing, mentoring and formal training.
- Shadow customer workshops and consulting engagements before gradually contributing to customer delivery projects.
Requirements
- A degree or expected degree in Computer Science, Data Science, Software Engineering, Mathematics or another relevant STEM subject.
- Approximately 6–12 months of practical industry experience through a placement year, internship, graduate programme or similar commercial experience.
- Basic knowledge of SQL and Python.
- Strong analytical, problem-solving, communication and attention-to-detail skills.
- Willingness to learn, work independently and collaborate with others.
- Desirable qualifications include exposure to Azure, AWS or Databricks; experience with Git or other version control systems; and understanding of relational databases, data modelling and ETL/ELT concepts.
- Relevant experience from university projects, hackathons or personal development is desirable.
Benefits
- Structured graduate development programme with dedicated mentoring and regular technical training.
- Certification support and exposure to modern Cloud, Data and AI technologies.
- Clear progression into a customer-facing Data Engineering Consultant role.
- Primarily remote working with required attendance at the London office and customer locations for collaboration, training, workshops and team events.
- Collaborative culture, technical knowledge sharing, team meet-ups and socials.
- Competitive salary is stated, but no amount is provided.
About Nasstar
Nasstar provides managed IT and cloud services, including cloud migration, infrastructure operations, networking, security, and data platform enablement for enterprise and mid-market clients. It delivers consulting and ongoing managed services across Microsoft Azure and AWS, with expertise in automation, governance, and CI/CD. Founded in 1998 and headquartered in Wakefield, West Yorkshire, it is part of GCI Com after previously being listed on the London Stock Exchange.