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- Tasks: Design and optimise data platforms, develop data pipelines, and support cloud integration.
- Company: Join a dynamic tech team in London with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Security clearance needed; great chance to enhance your technical skills.
- Why this job: Make an impact by building scalable data solutions in a collaborative environment.
- Qualifications: Experience with data pipelines, cloud platforms, and ETL processes required.
The predicted salary is between 45000 - 65000 £ per year.
We are seeking a skilled Data Engineer to support the design, development, and optimisation of data platforms across complex transformation programmes. This position is ideal for an engineer with hands-on experience in data pipelines, cloud platforms, and ETL processes who wants to deepen their technical expertise within a collaborative, delivery-focused environment.
You’ll play a key role in building reliable, scalable data solutions that enable analytics, reporting, and operational use cases.
Key Responsibilities- Develop and maintain data pipelines and ETL processes using cloud-native technologies (e.g. Spark).
- Support integration across cloud and on-premise data sources.
- Help design and implement event-driven data pipelines, improving performance and scalability.
- Contribute to the development of data access layers and reusable ETL components.
- Support onboarding of new data sources, including preparation and transformation of datasets.
- Work with senior engineers to apply 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.
- Collaborate with wider teams to ensure data quality, reliability, and performance.
- Participate in knowledge sharing and continuous improvement initiatives.
- Strong knowledge of data pipelines and processing frameworks (e.g. Spark or similar).
- Hands-on experience with cloud platforms (AWS and/or Azure; exposure to both advantageous).
- Solid understanding of ETL processes and data integration concepts.
- Basic experience with Infrastructure as Code tools (e.g. Terraform) and/or CI/CD tools (e.g. GitLab).
- Understanding of version control and collaborative development practices.
- Awareness of data security, governance, and compliance considerations.
- Experience working with event-driven architectures or streaming technologies.
- Exposure to data access layers and data platform design.
- Experience in public sector or regulated environments.
- Knowledge of cloud networking fundamentals.
- Background in fraud, analytics, or large-scale data use cases.
- Growing understanding of DevOps and Agile delivery practices.
- Commitment to writing maintainable, scalable code.
- Enthusiasm for automation and reusable engineering patterns.
- Active participation in code reviews and collaborative development sessions.
This role requires Security Clearance (SC). Candidates must be eligible and willing to undergo the clearance process.
SC Cleared Data Engineer in London employer: IO Associates
Contact Detail:
IO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SC Cleared Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with cloud platforms. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and ETL processes. Use GitHub to share your projects and demonstrate your hands-on experience with tools like Spark and cloud services.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with AWS and Azure, and how you've tackled challenges in data integration and performance optimisation.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers. Your next big opportunity could be just a click away, so get your application in and let’s make it happen!
We think you need these skills to ace SC Cleared Data Engineer 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!
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 impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, be sure to mention specific technologies you’ve worked with, like Spark, AWS, or Azure. We’re looking for hands-on experience, so let us know what you’ve done in real-world scenarios.
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 IO Associates
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data pipelines, ETL processes, and cloud platforms like AWS and Azure. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience and technical expertise.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, especially around data integration and performance optimisation. Companies love candidates who can think critically and come up with innovative solutions, so have a few stories ready that highlight your problem-solving abilities.
✨Understand the Company’s Needs
Research the company and its projects, especially those related to data engineering in the public sector. Understanding their goals and challenges will help you tailor your answers and demonstrate how you can contribute to their success.
✨Be Ready for Technical Questions
Expect some technical questions or even a practical test during the interview. Brush up on your knowledge of tools like Terraform and GitLab, and be prepared to discuss best practices in data engineering, CI/CD pipelines, and Infrastructure as Code.