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- Tasks: Design and optimise data platforms using cloud technologies and develop data pipelines.
- Company: Join UBDS Group, a forward-thinking tech company focused on transformation.
- Benefits: Enjoy training, private medical cover, performance bonuses, and generous holiday leave.
- Other info: Fast-paced environment with opportunities for personal and professional growth.
- 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
Data Engineer - Multi-Cloud in London employer: UBDS Digital
Contact Detail:
UBDS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Multi-Cloud in London
✨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 works in data engineering. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud platforms. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of ETL processes and cloud technologies like AWS and Azure. Practice common interview questions and be ready to discuss your past projects in detail.
✨Apply Through Our Website
When you find a job that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Engineer - Multi-Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, cloud platforms, and ETL processes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Data Engineer position and how your background makes you a great fit. We love seeing genuine enthusiasm and a bit of personality in your application.
Showcase Your Technical Skills: Be specific about your technical expertise, especially with tools like Spark, AWS, and Azure. If you've got experience with CI/CD or Infrastructure as Code, make sure to mention that too. We’re looking for hands-on experience that can help us optimise our data platforms!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at UBDS Digital
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially cloud platforms like AWS and Azure. Brush up on your knowledge of data pipelines, ETL processes, and tools like Spark. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've tackled complex data challenges. Whether it’s optimising a data pipeline or integrating new data sources, having specific stories ready will demonstrate your hands-on experience and problem-solving abilities.
✨Understand the Company Culture
Research UBDS Group and their approach to collaboration and delivery-focused environments. Be ready to discuss how you can contribute to their team dynamics and align with their values. This shows that you’re not just interested in the role, but also in being a part of their culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and the technologies they use. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you. Questions about their CI/CD practices or data governance strategies can spark great conversations.