At a Glance
- Tasks: Design and build scalable data pipelines and cloud-based solutions.
- Company: Leading organisation launching a new engineering and data function in Newcastle.
- Benefits: Competitive salary, hybrid working model, and excellent career development opportunities.
- Other info: Flexible tech stack and dynamic environment for growth.
- Why this job: Join exciting greenfield projects and make a real impact in data engineering.
- Qualifications: Experience in data engineering, programming, and cloud technologies; SC Clearance required.
The predicted salary is between 40000 - 50000 € per year.
Location: We are working with a leading organisation who are building a brand-new engineering and data function in Newcastle. They are looking to hire multiple Data Engineers across Junior, Mid-level, and Senior levels. Due to the nature of the projects, candidates must hold active SC Clearance or be eligible to obtain SC Clearance.
This is an exciting opportunity to work on complex, high-impact data platforms, helping to design, build, and maintain scalable data pipelines and cloud-based data solutions.
- Design, build, and maintain scalable data pipelines and ETL processes.
- Develop and optimise data models for analytics and reporting.
- Work closely with software engineers, analysts, and stakeholders.
- Ensure data quality, reliability, and performance.
- Implement best practices in data engineering, governance, and security.
- Build and maintain cloud-based data platforms.
- Support deployment, monitoring, and troubleshooting of data systems.
The technology stack is flexible, but experience in some of the following are nice to have:
- Data Engineering & Programming:
- Python
- SQL
- Data modelling and warehousing concepts
- AWS (S3, Redshift, Glue, EMR, Lambda)
- Data lake and data warehouse architectures
- Experience working in agile environments
- Understanding of secure data handling practices
Security Clearance:
- 0–2 years commercial experience
- 2–5 years commercial experience
- 5+ years commercial experience
Competitive salary (dependent on experience), hybrid working model, excellent career development and training opportunities, modern cloud-based data platforms, greenfield projects and long-term programmes.
If you are a Data Engineer looking for your next challenge and hold (or are eligible for) SC Clearance, we would love to hear from you.
Ingegnere dei dati (f/m) employer: Experis UK
Join a forward-thinking organisation in Newcastle that is dedicated to building a cutting-edge engineering and data function. With a strong emphasis on employee growth, you will have access to excellent career development and training opportunities while working on innovative greenfield projects. The hybrid working model and collaborative work culture ensure a balanced and rewarding work environment for Data Engineers at all levels.
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 current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially any work with Python, SQL, or cloud platforms. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or optimising data models – clarity is key!
✨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 hearing from passionate candidates like you who are ready to tackle exciting data challenges.
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 reflects the skills and experiences that match the Data Engineer role. Highlight your experience with data pipelines, cloud solutions, and any relevant technologies like Python or SQL. We want to see how you can contribute to our exciting projects!
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 aligns with our needs. Don’t forget to mention your eligibility for SC Clearance – it’s a big plus for us!
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your work, especially if they involve scalable data solutions or cloud platforms.
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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Experis UK
✨Know Your Tech Stack
Make sure you brush up on the technologies mentioned in the job description, especially Python, SQL, and AWS services like S3 and Redshift. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand Data Governance
Since the role involves ensuring data quality and security, be prepared to discuss best practices in data governance. Familiarise yourself with secure data handling practices and be ready to explain how you've implemented these in your previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, and how they measure success in their data engineering function. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
