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- Tasks: Design and optimise data platforms, develop data pipelines, and support cloud integration.
- Company: Dynamic tech firm focused on innovative data solutions in a collaborative environment.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Security clearance required; great chance to work on impactful projects.
- Why this job: Join a cutting-edge team and enhance your skills in cloud technologies and data engineering.
- Qualifications: Experience with data pipelines, cloud platforms, and ETL processes is essential.
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.
Skills & Experience (Essential)
- 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.
Security Requirements
This role requires Security Clearance (SC). Candidates must be eligible and willing to undergo the clearance process.
SC Cleared Data Engineer employer: IO Associates
Contact Detail:
IO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SC Cleared Data Engineer
✨Network Like a Pro
Get out there and connect with folks 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 when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your experience with data pipelines, ETL processes, and cloud platforms. Share it on your LinkedIn or personal website to catch the eye of recruiters.
✨Ace the Interview
Prepare for those technical interviews by brushing up on your knowledge of Spark, AWS, and Azure. Practice common data engineering problems and be ready to discuss your past experiences. Confidence is key, so walk in ready to impress!
✨Apply Through Us!
We’ve got your back! Make sure to apply through our website for the best chance at landing that Data Engineer role. We’re all about helping you find the right fit, so don’t hesitate to reach out if you need any tips or support along the way.
We think you need these skills to ace SC Cleared Data Engineer
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 your hands-on experience with AWS, Azure, and any relevant tools like Terraform or GitLab. We’re looking for those who can hit the ground running!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at IO Associates
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially data pipelines and cloud platforms like AWS and Azure. Brush up on your knowledge of Spark and ETL processes, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've developed or optimised data solutions. Think about challenges you faced and how you overcame them, particularly in a collaborative environment. This will demonstrate your hands-on experience and ability to work within a team.
✨Understand the Importance of Data Security
Since this role requires SC clearance, be ready to talk about data security, governance, and compliance. Familiarise yourself with relevant regulations and best practices, as this shows you take data integrity seriously and understand the implications of working in regulated environments.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data engineering practices, team dynamics, and ongoing projects. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.