At a Glance
- Tasks: Build and maintain data pipelines while collaborating with experienced engineers.
- Company: Leading cyber and digital consultancy focused on mission-critical programmes.
- Benefits: Competitive salary, bonus, flexible benefits, and strong career progression.
- Other info: Excellent mentorship and exposure to modern cloud technologies.
- Why this job: Join a collaborative team and work on impactful, large-scale projects.
- Qualifications: 2-3 years in Data Engineering, strong Python and SQL skills.
The predicted salary is between 30000 - 40000 € 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 employer: ANSON MCCADE
Join a leading cyber and digital consultancy that offers an exceptional work environment for Junior Data Engineers. With a strong focus on mentorship and career development, you'll have the opportunity to work on large-scale, impactful projects while collaborating with highly experienced engineers. Enjoy a flexible benefits package and a culture that prioritises technical growth and teamwork in a dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer
✨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 seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your Python and SQL expertise, and any relevant projects you've worked on. 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. Show us your passion for data engineering and your eagerness to learn.
Showcase Your Projects:If you've worked on any data pipelines or cloud projects, make sure to mention them! We love seeing real examples of your work, so include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen to join our team at StudySmarter!
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 your previous projects, especially in building data pipelines or processing systems.
✨Understand the Role
Familiarise yourself with the key responsibilities of a Junior Data Engineer. Think about how your experience aligns with tasks like developing ETL/ELT pipelines and supporting cloud-hosted data infrastructure. This will help you articulate your fit for the role.
✨Show Your Willingness to Learn
This role is all about growth, so be prepared to talk about your eagerness to learn new technologies and concepts, especially around cloud environments and DataOps. Share examples of how you've pursued learning opportunities in the past.
✨Communicate Effectively
Strong communication skills are key in collaborative engineering teams. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with stakeholders who aren't as tech-savvy.
