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- Tasks: Design and build scalable data systems for advanced analytics and machine learning.
- Company: People-focused digital consultancy supporting the UK public sector.
- Benefits: Competitive salary, hybrid work, continuous learning, and supportive teams.
- Why this job: Join a diverse team and make a real impact on public sector data solutions.
- Qualifications: Strong interest in data engineering and experience in Java, Python, or TypeScript.
- Other info: Embrace a collaborative culture with excellent career growth opportunities.
The predicted salary is between 40000 - 72000 £ per year.
You will join a people-focused digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams.
The consultancy works closely with government departments and public sector organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients and citizens.
This role is suited to Data Software Engineers with a strong technical foundation and an interest in data engineering, data science, and machine learning. You will work within agile, multidisciplinary teams alongside data scientists, platform engineers, and stakeholders to build robust data processing systems in secure environments.
Role Responsibilities- Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads.
- Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach.
- Collaborate closely with data scientists to enable effective use of data for analytics and machine learning.
- Build and operate cloud-based solutions, with a strong focus on AWS services.
- Work with messaging, streaming, or data flow technologies to support real-time and batch data processing.
- Contribute to infrastructure and platform automation using Infrastructure as Code.
- Participate in agile ceremonies, technical design discussions, and code reviews.
- Ensure solutions meet security, performance, and reliability requirements within public sector environments.
- A strong interest in data, particularly data engineering, data science, or machine learning.
- A solid technical background, with experience in Java, Python, TypeScript, or similar languages.
- Experience developing software using TDD or a strong willingness to adopt TDD practices.
- Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams.
- Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
- A proactive mindset with attention to detail and a commitment to quality.
- Experience working with cloud platforms, ideally AWS.
- A strong Linux background.
- Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools.
- Experience using Infrastructure as Code tools such as Terraform or CloudFormation.
- Previous experience working in a consultancy or public sector delivery environment.
- Familiarity with secure or regulated environments.
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Engineer - SC Cleared employer: Sanderson Government and Defence
Contact Detail:
Sanderson Government and Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - SC Cleared
✨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 field. Building relationships can open doors that job applications alone 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 processing or cloud solutions. This gives potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in data engineering. Practice common interview questions and be ready to explain your thought process clearly—communication is key!
✨Apply Through Our Website
We encourage you to apply directly through our website. It not only streamlines the process but also shows your genuine interest in joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Engineer - SC Cleared
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your technical background, especially in data engineering and software development, to show us you're a great fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your experience aligns with our values of collaboration and inclusion. This is your chance to showcase your personality and enthusiasm!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical examples of your skills, especially in cloud-based solutions and TDD practices.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Java, Python, and AWS. Brush up on your knowledge of data integration tools like Apache Kafka or RabbitMQ, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in data engineering or software development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your collaborative approach within multidisciplinary teams.
✨Emphasise Your TDD Experience
Since the role requires a strong focus on Test-Driven Development, be ready to explain your experience with TDD. If you haven’t used it extensively, express your willingness to adopt this practice and share any relevant experiences that demonstrate your commitment to quality coding.
✨Communicate Clearly
Practice explaining technical concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical stakeholders. This will show your ability to bridge the gap between different team members and ensure everyone is on the same page.