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- Tasks: Design and implement scalable data architectures in the cloud and lead development projects.
- Company: Join a leading IT services company with a focus on innovation and collaboration.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Why this job: Make an impact by building secure data pipelines and mentoring fellow engineers.
- Qualifications: Strong skills in AWS, Terraform, Python, Spark, and SQL required.
- Other info: Dynamic role with potential for long-term career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Initial contract until the end of March 2026
Remote based + with ad hoc client workshops
Must be able to start at short notice
Responsibilities:
- Design and implement scalable data architectures in the cloud, ensuring secure and reliable data pipelines.
- Work across the full data lifecycle, supporting data scientists, analysts, and engineering teams.
- Lead development projects, data modelling, and cloud data platform deployments.
- Mentor data engineers and contribute to best practices across the team.
Qualifications:
- Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation).
- Strong experience in SQL, Python, Spark or Iceberg.
- Strong Terraform experience.
- Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild).
- Knowledge of infrastructure as code, performance tuning, and data migration.
- Exposure to DBT, Docker, or Microsoft BI stack is a plus.
Seniority level: Mid‑Senior level
Employment type: Contract
Job function: Information Technology
Industries: IT Services and IT Consulting and Software Development
Location: London, England, United Kingdom
Data Engineer employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Terraform, and Python. 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. Be ready to discuss your experience with data architectures, ETL processes, and cloud services. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that you won't find elsewhere. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Terraform, Python, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
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 your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's designing data architectures or implementing pipelines, we love seeing real-world applications of your skills.
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 from our team!
How to prepare for a job interview at Vallum Associates
✨Know Your Tech Stack
Make sure you brush up on your AWS, Terraform, Python, and Spark skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Architecture Skills
Prepare to talk about your experience designing and implementing scalable data architectures. Think of examples where you've built secure and reliable data pipelines, and be ready to explain your thought process and the tools you used.
✨Demonstrate Leadership and Mentorship
Since the role involves mentoring other data engineers, come prepared with examples of how you've led projects or supported team members in the past. Highlight your approach to fostering best practices within a team.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This shows your genuine interest and helps you assess if the company is the right fit for you.
