At a Glance
- Tasks: Build and enhance data platforms in AWS for a major logistics transformation.
- Company: Join a leading logistics organisation embracing data-driven innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting chance to work with large-scale datasets and modern cloud infrastructure.
- Why this job: Make a real impact by creating scalable data solutions in a dynamic environment.
- Qualifications: Strong AWS, Python, SQL skills, and experience with data engineering best practices.
The predicted salary is between 50000 - 70000 € 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.
- Strong AWS experience
- Python and SQL
- 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.
Ingegnere dei dati (f/m) employer: Synapri
Synapri is an excellent employer for data engineers, offering a dynamic work environment within a large logistics organisation that is at the forefront of a significant data transformation programme. Employees benefit from a culture that prioritises innovation and collaboration, alongside opportunities for professional growth in cutting-edge technologies like AWS. With a focus on building scalable data solutions, this role provides a meaningful chance to contribute to a data-centric business while enjoying a supportive and forward-thinking workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AWS, Python, and SQL. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Ingegnere dei dati (f/m)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your AWS experience and data engineering skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your Python, SQL, and ETL expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about this opportunity and how your experience can help us in our data transformation journey. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any data platforms or large-scale datasets, make sure to mention them. We love seeing real-world examples of your work, especially if they demonstrate modern data engineering best practices.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to 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 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 Lambda. Being able to discuss how you've used these tools in past projects will show that you're not just familiar with them, but that you can leverage them effectively.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks. Bring examples of previous work where you’ve used these languages to build data solutions, as this will highlight your hands-on experience.
✨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, ETL processes, and how you’ve optimised data storage and retrieval in the past. This will show that you understand the bigger picture of data management.
✨Emphasise Your Problem-Solving Skills
Data engineering often involves tackling complex problems. Prepare to share specific examples of challenges you've faced in previous roles and how you approached solving them. This will demonstrate your analytical thinking and ability to adapt, which are crucial for a role focused on building scalable data solutions.
