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- Tasks: Design and optimise data platforms while developing data pipelines using cloud technologies.
- Company: Join UBDS Group, a forward-thinking tech company focused on transformation programmes.
- Benefits: Enjoy training, private medical cover, 25 days holiday, and a contributory pension scheme.
- Other info: Fast-paced environment with excellent mentorship and career growth opportunities.
- Why this job: Make an impact in a collaborative environment while enhancing your data engineering skills.
- Qualifications: Experience in data engineering, ETL processes, and familiarity with AWS or Azure.
The predicted salary is between 50000 - 70000 ÂŁ per year.
UBDS Group is seeking a skilled Data Engineer to support the design, development, and optimisation of data platforms across complex transformation programmes. The role suits an engineer with hands‑on experience in data pipelines, cloud platforms, and ETL processes, who is looking to further develop their expertise in a collaborative, delivery‑focused environment.
Key Responsibilities
- Develop and maintain data pipelines and ETL processes using cloud‑native technologies (e.g., Spark)
- Support integration of cloud and on‑premise data sources
- Assist in implementing event‑driven data pipelines, improving performance and scalability
- Contribute to the development of data access layers and reusable ETL components
- Support the onboarding of new data sources, including preparation and transformation of datasets
- Work with senior engineers to implement data engineering best practices and standards
- Contribute to CI/CD pipelines and Infrastructure as Code (IaC) activities
- Operate within AWS and Azure environments, supporting deployment and maintenance of data solutions
- Work with services such as AWS (EC2, EMR, S3, Lambda) and Azure (Blob Storage)
- Collaborate with wider teams to ensure data quality, reliability, and performance
- Participate in knowledge sharing and continuous improvement activities
Essential Skills & Experience
- Experience in data engineering or ETL development
- Working knowledge of data pipelines and data processing frameworks (e.g., Spark or similar)
- Experience with cloud platforms (AWS and/or Azure; exposure to both preferred)
- Understanding of ETL processes and data integration concepts
- Basic experience with Infrastructure as Code (e.g., Terraform) and/or CI/CD tools (e.g., GitLab)
- Familiarity with key services such as AWS (EC2, S3, EMR, Lambda) and Azure (Blob Storage)
- Understanding of version control and collaborative development practices
- Awareness of data security and governance considerations
Desirable
- Experience working with event‑driven architectures or streaming technologies
- Exposure to data access layers or data platform design
- Experience in public sector or regulated environments
- Knowledge of cloud networking fundamentals
- Exposure to fraud, analytics, or large‑scale data use cases
Security Requirements
Role requires Security Clearance (SC); candidates must be eligible and willing to undergo the clearance process.
Engineering Practices
- Understanding of DevOps and agile delivery practices
- Commitment to writing maintainable, scalable code
- Willingness to adopt automation and reusable patterns
- Participation in code reviews and team collaboration
Personal Attributes
- Eager to learn and develop technical skills
- Strong problem‑solving ability
- Collaborative and team‑oriented
- Comfortable working in fast‑paced delivery environments
Benefits
- Training programmes and mentorship opportunities
- Private medical cover via Vitality
- Discretionary bonus based on performance
- 25 days holiday plus additional days for birthday and work anniversary, and UK bank holidays
- Electric Vehicle leasing with salary sacrifice
- Contributory pension scheme
- Death in service cover
Equal Opportunities
We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Data Engineer - Multi-Cloud employer: UBDS Digital
Contact Detail:
UBDS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Multi-Cloud
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving data pipelines and cloud platforms. Share it on platforms like GitHub or your personal website to give potential employers a taste of your expertise.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of ETL processes and cloud technologies. Practice common interview questions and maybe even do some mock interviews with friends. Confidence is key, so make sure you can talk about your experience clearly and concisely.
✨Apply Through Us!
We’ve got your back! Check out our website for the latest job openings and apply directly. It’s a great way to get noticed, and we love seeing passionate candidates who are eager to join our team!
We think you need these skills to ace Data Engineer - Multi-Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, ETL processes, and cloud platforms like AWS and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: When filling out your application, make sure to mention your hands-on experience with tools like Spark, Terraform, and CI/CD practices. We’re looking for candidates who are comfortable in a tech-savvy environment, so let us know what you’ve got!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at UBDS Digital
✨Know Your Tech Stack
Make sure you’re familiar with the specific technologies mentioned in the job description, like Spark, AWS, and Azure. Brush up on your knowledge of data pipelines and ETL processes, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you tackled complex data challenges. Be ready to explain your thought process and how you approached problem-solving, especially in a collaborative environment.
✨Understand the Company’s Needs
Research UBDS Group and their projects. Understanding their focus on data quality, reliability, and performance will help you tailor your answers to show how you can contribute to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the company’s approach to data engineering best practices. This shows your genuine interest and helps you assess if it’s the right fit for you.