At a Glance
- Tasks: Build and optimise data pipelines for large-scale, secure programmes.
- Company: Join a leading digital and cyber intelligence firm in London.
- Benefits: Hybrid working, structured career progression, and development support.
- Other info: Collaborate with experts in a dynamic, agile environment.
- Why this job: Make an impact on high-stakes projects while enhancing your technical skills.
- Qualifications: 2-4 years in Data Engineering, strong SQL and Python skills required.
The predicted salary is between 45000 - 55000 € per year.
Join one of the UK’s leading digital, cyber and intelligence environments and help deliver large-scale data engineering capabilities across secure, mission-critical programmes. Our client is continuing to expand its data engineering capability as demand grows across large-scale digital transformation and national security-focused programmes.
They are looking to hire Data Engineers to support the development, optimisation and maintenance of modern data platforms and pipelines used across highly complex environments. This role is focused on building scalable data flows, transforming and managing large datasets, and supporting cloud-based data infrastructure for downstream analytics and operational use.
You’ll work closely with data architects, analysts and wider engineering teams to help organisations better process, store and utilise data in fast-moving and technically challenging environments. The position is London-based with hybrid working.
- Building, improving and maintaining ETL and data processing pipelines.
- Supporting cloud-based data platforms and infrastructure.
- Applying software engineering and DataOps best practices to data delivery.
- Translating business requirements into scalable data engineering solutions.
- Supporting data modelling, orchestration, transformation and secure data management practices.
Requirements:
- Around 2–4 years’ experience within Data Engineering environments.
- Strong SQL and Python skills.
- Experience building ETL pipelines and data transformation processes.
- Exposure to cloud-based data environments and infrastructure.
- Understanding of data modelling, orchestration and data management principles.
- Ability to work within agile, delivery-focused technical teams.
Additional Information:
- Hybrid London working model.
- Exposure to large-scale, highly secure data programmes.
- Structured career progression and development support.
- Opportunity to work alongside experienced cyber, digital and data specialists.
Security Clearance: Candidates must be Sole British Nationals and eligible for UK Security Clearance due to the nature of the work.
This role suits junior to mid-level Data Engineers looking to move into larger-scale engineering environments where they can develop their technical capability while working on high-impact programmes involving cloud, data and modern engineering practices. It is particularly well suited to engineers who enjoy solving complex data challenges, building scalable pipelines, and working within collaborative technical teams.
Senior Engineer, Data Engineering employer: ANSON MCCADE
Join a forward-thinking organisation that prioritises employee growth and development in the heart of London. With a hybrid working model, you will enjoy a flexible work-life balance while collaborating with top-tier professionals on impactful data engineering projects. The company fosters a culture of innovation and teamwork, providing structured career progression opportunities and the chance to work on mission-critical programmes that make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL pipelines and cloud-based data platforms. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data modelling and transformation processes. Practising common technical questions can really help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with SQL, Python, and any cloud-based data environments you've worked in. We want to see how your skills align with what we're looking for!
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 mission. Don't forget to mention your experience with ETL pipelines and data transformation processes.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them! Whether it's building scalable data flows or optimising data platforms, we love seeing real-world examples of your work that demonstrate your capabilities.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Data Engineering Basics
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your experience with ETL pipelines and data transformation processes, as these are crucial for the role. Having specific examples from your past work can really help demonstrate your expertise.
✨Understand the Company’s Mission
Research the company’s focus on digital transformation and national security. Understanding their mission-critical programmes will allow you to tailor your answers to show how your skills align with their goals. This shows genuine interest and helps you stand out.
✨Prepare for Technical Questions
Expect technical questions related to cloud-based data environments and data management principles. Practise explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders. This will showcase your ability to bridge the gap between technical and business needs.
✨Showcase Your Teamwork Skills
Since the role involves working closely with data architects and analysts, be prepared to discuss your experience in collaborative environments. Share examples of how you've contributed to team projects and how you handle challenges within a team setting. This will highlight your fit for their agile, delivery-focused culture.
