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- Tasks: Join a dynamic team to design and optimise secure data solutions using IBM DataStage.
- Company: Be part of a large-scale, innovative programme with a focus on critical data capabilities.
- Benefits: Enjoy a competitive rate, remote work flexibility, and long-term stability until December 2026.
- Why this job: Make a real impact in a modern AWS-driven data landscape while enhancing your engineering skills.
- Qualifications: Strong experience with IBM DataStage, AWS tools, and data migration processes required.
- Other info: We value diversity and inclusivity, welcoming applicants from all backgrounds.
Location: Remote (UK-based only)
Start: ASAP
Duration: Contract running through to December 2026
Clearance: Active SC highly desirable (must be SC eligible at minimum)
Rate: £460 per day (Inside IR35)
We are recruiting for an experienced Data Engineer to join a large-scale, secure programme delivering critical data capabilities within a complex environment. This is a long-term engagement offering genuine stability through to the end of 2026, working as part of a high-performing, multidisciplinary team.
The role is fully remote; however, candidates must be UK-based. Due to the nature of the programme, active SC clearance is highly desirable. You will be working across a modern AWS-driven data landscape, contributing to the design, build and optimisation of robust, secure, and scalable data solutions. This role will suit someone comfortable operating in structured environments, with strong engineering fundamentals and a proactive, delivery-focused mindset.
Core Skills & Experience Required:
- Strong hands-on experience with IBM DataStage
- Proven expertise with Amazon Redshift, Amazon S3, and Amazon QuickSight
- Extensive experience in data migration and ETL processes (both batch and real-time)
- Data warehouse architecture, development, and optimisation
- Strong understanding of DevSecOps principles and secure engineering practices
- Solid Java development experience
- Advanced SQL skills
- Strong knowledge of relational databases
- Experience using GitHub or GitLab for version control and CI/CD workflows
Nice to Have:
- Experience with data quality frameworks and tooling
- XML processing experience
- AWS Data Specialty certification
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 - IBM DataStage 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 - IBM DataStage
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with IBM DataStage. 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 projects, especially those involving AWS and ETL processes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Data Engineer - IBM DataStage
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with IBM DataStage and the other core skills mentioned in the job description. We want to see how your background aligns with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this Data Engineer role. We love seeing enthusiasm and a clear understanding of our needs, so let your personality come through while keeping it professional.
Showcase Your Technical Skills: Since this role involves working with AWS and various data tools, make sure to highlight your technical expertise. We’re keen on seeing your hands-on experience with data migration, ETL processes, and any relevant certifications you might have!
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 whole process smoother for everyone involved!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Tech Inside Out
Make sure you brush up on your IBM DataStage skills and be ready to discuss your hands-on experience. Be prepared to share specific examples of how you've used Amazon Redshift, S3, and QuickSight in past projects.
✨Showcase Your Problem-Solving Skills
During the interview, highlight your experience with data migration and ETL processes. Think of a challenging scenario you've faced and explain how you approached it, focusing on your proactive mindset and delivery-focused approach.
✨Understand the Security Landscape
Since this role requires a strong understanding of DevSecOps principles, be ready to discuss how you've implemented secure engineering practices in your previous roles. Mention any relevant experiences that demonstrate your commitment to security.
✨Familiarise Yourself with Version Control
As version control is crucial for this position, ensure you can talk about your experience using GitHub or GitLab. Be prepared to explain how you've used these tools in CI/CD workflows to enhance collaboration and efficiency.