At a Glance
- Tasks: Build and maintain data pipelines, develop scalable solutions, and support cloud infrastructure.
- Company: Leading cyber and digital consultancy with a focus on government and national security.
- Benefits: Competitive salary, bonus, flexible benefits, and strong career development support.
- Other info: Mentorship opportunities and exposure to modern cloud technologies.
- Why this job: Join a collaborative team and work on impactful projects in a respected engineering environment.
- Qualifications: 2-3 years in Data Engineering, strong Python and SQL skills, eager to learn.
The predicted salary is between 35000 - 45000 € per year.
An opportunity has opened for a Data Engineer to join a leading cyber and digital consultancy delivering mission-critical programmes across government, defence and national security environments. This role is particularly well suited to somebody around 2-3 years into their Data Engineering career who is looking to step into a stronger project environment, work alongside highly experienced engineers, and accelerate their technical development on genuinely complex programmes.
About the Role
You’ll join multidisciplinary engineering teams helping clients process, store and utilise large-scale datasets across modern cloud environments. The team are looking for somebody with solid fundamentals across Python, SQL and data pipelines, who is eager to continue learning and develop deeper expertise across cloud, DataOps and enterprise-scale data engineering.
Key Responsibilities
- Building and maintaining ETL / ELT data pipelines
- Developing scalable data processing solutions using Python and SQL
- Supporting cloud-hosted data infrastructure
- Working with architects, analysts and wider engineering teams
- Applying software engineering and DataOps best practices
- Supporting data modelling, orchestration and data management activities
- Collaborating with stakeholders to understand technical and business requirements
Key Skills & Experience
- Around 2-3 years experience within Data Engineering or Software Engineering
- Strong fundamentals in Python and SQL
- Experience working with data pipelines or data processing systems
- Exposure to cloud environments (AWS, Azure or GCP)
- Understanding of data modelling, orchestration or DevOps concepts
- Strong communication skills and willingness to learn
- Experience working within collaborative engineering teams
Why Join?
- Excellent opportunity to develop within a highly respected engineering environment
- Work on large-scale, high-impact projects rarely found elsewhere in the market
- Strong mentorship and career development support
- Exposure to modern cloud and data technologies
- Flexible benefits package, bonus and strong progression opportunities
- Collaborative and technically strong team culture
If you’re looking for the next step in your Data Engineering career and want to work on projects with real-world impact, apply now for a confidential discussion.
Junior Data Engineer in London employer: ANSON MCCADE
Join a leading cyber and digital consultancy in London, where you'll be part of a collaborative and technically proficient team dedicated to delivering mission-critical programmes. With a strong focus on employee growth, you will benefit from excellent mentorship, exposure to cutting-edge technologies, and a flexible benefits package that supports your career development in a dynamic work environment. This is an exceptional opportunity for those looking to make a meaningful impact while advancing their Data Engineering skills.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 Python, SQL, and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your Python and SQL expertise, as well as any experience with data pipelines or cloud environments. We want to see how you fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our needs. Don’t forget to mention your eagerness to learn and grow within a collaborative environment.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or during your studies, make sure to include them. We love seeing practical examples of your work with ETL/ELT pipelines or cloud technologies!
Apply Through Our Website:We encourage you to apply directly 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 Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building ETL/ELT pipelines. It’s a great way to show you’re not just familiar with the tech but can actually apply it.
✨Understand the Role
Take some time to really understand what a Data Engineer does, especially in a cloud environment. Familiarise yourself with concepts like DataOps and data modelling. This will help you answer questions more confidently and show that you're genuinely interested in the role.
✨Show Your Collaborative Spirit
Since the role involves working with multidisciplinary teams, be prepared to share examples of how you've collaborated with others in the past. Highlight any experiences where you’ve worked alongside architects or analysts to meet project goals.
✨Ask Smart Questions
Prepare a few insightful questions to ask at the end of your interview. This could be about the team culture, the types of projects you'll be working on, or how they support career development. It shows you’re engaged and thinking about your future with the company.
