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- Tasks: Design and build scalable data systems for 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.
Reasonable Adjustments: 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 in Luton 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 in Luton
✨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 to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your data engineering skills. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨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 consider doing mock interviews with friends or mentors to build confidence.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Data Engineer - SC Cleared in Luton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your technical background, especially in Java, Python, or TypeScript, and any relevant experience with cloud platforms like AWS.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your background makes you a great fit for our team. Don’t forget to mention your interest in working collaboratively within multidisciplinary teams!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We love seeing candidates who can think critically and work well under pressure, especially in agile environments.
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 don’t miss out on any important updates during the recruitment process!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Tech Stack
Make sure you’re familiar with 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 well as Infrastructure as Code tools like Terraform. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in a collaborative environment. Think about how you’ve used TDD in your previous projects and be ready to explain your thought process. This will demonstrate your strong problem-solving skills and your ability to work effectively within multidisciplinary teams.
✨Communicate Clearly
Practice explaining technical concepts in simple terms, as you’ll need to communicate with both technical and non-technical stakeholders. Consider doing mock interviews with friends or colleagues to refine your communication style. Clear communication is key in a consultancy role, so make it a priority!
✨Embrace the Agile Mindset
Familiarise yourself with agile methodologies and be prepared to discuss your experience in agile ceremonies and technical design discussions. Highlight any past experiences where you contributed to code reviews or collaborated closely with data scientists. Showing that you can thrive in an agile environment will set you apart from other candidates.