At a Glance
- Tasks: Build and enhance data platforms using AWS and large-scale datasets.
- Company: Join a leading logistics organisation driving major data transformation.
- Benefits: Competitive salary up to £85,000, flexible remote work, and career growth.
- Other info: Work in a dynamic environment with a focus on modern data practices.
- Why this job: Be at the forefront of data engineering in a data-centric business.
- Qualifications: Strong AWS, Python, SQL skills, and experience with ETL/ELT pipelines.
The predicted salary is between 85000 - 85000 € per year.
Synapri are looking for a Data Engineer to join a large logistics organisation undergoing a major data transformation programme. The role will focus on building and improving data platforms within AWS, working across large-scale datasets and modern cloud infrastructure.
Salary up to £85,000 London – 1 day per week onsite.
Key skills needed:
- Strong AWS experience
- Python and SQL
- ETL / ELT pipeline development
- Data warehousing and cloud data platforms
- Experience with modern data engineering best practices
This is a good opportunity for someone who enjoys building scalable data solutions in a business where data is central to operations. If this role interests you, apply now!
Data Engineer in City of London employer: Synapri
Synapri offers an exceptional work environment for Data Engineers, providing the opportunity to be part of a large logistics organisation that is at the forefront of a significant data transformation programme. With a strong focus on employee growth and development, the company fosters a collaborative culture where innovation thrives, and employees can enjoy the flexibility of working remotely with just one day a week onsite in London. This role not only promises competitive remuneration but also the chance to work with cutting-edge technologies in AWS, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Synapri or similar companies. A friendly chat can give you insights and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, Python scripts, and any ETL pipelines you've built. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on data engineering best practices. Be ready to discuss how you've tackled challenges in previous roles and how you can contribute to their data transformation programme.
✨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 take the initiative to connect with us directly.
We think you need these skills to ace Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your AWS experience, Python, and SQL skills. We want to see how your background aligns with the data engineering role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about this data transformation programme and how your experience can contribute to building scalable data solutions. Keep it engaging and personal!
Showcase Your Technical Skills:When detailing your experience, focus on your ETL/ELT pipeline development and any work with cloud data platforms. We love seeing specific examples of how you've tackled challenges in data engineering!
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 regarding your application status!
How to prepare for a job interview at Synapri
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Familiarise yourself with the specific services relevant to data engineering, like S3, Redshift, and Glue. Being able to discuss how you've used these tools in past projects will show you're ready to hit the ground running.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your coding skills in Python and SQL during the interview. You might be asked to solve a problem or optimise a query on the spot. Practising common data manipulation tasks and ETL processes can give you the edge you need.
✨Understand Data Warehousing Concepts
Brush up on your data warehousing knowledge, especially if you have experience with cloud data platforms. Be ready to discuss different architectures and best practices for building scalable data solutions. This will show that you understand the bigger picture of data management.
✨Be Ready to Discuss Modern Best Practices
Familiarise yourself with modern data engineering best practices, such as CI/CD for data pipelines and data governance. Being able to articulate how you’ve implemented these practices in previous roles will demonstrate your commitment to quality and efficiency in data engineering.
