At a Glance
- Tasks: Design and implement data pipelines using cutting-edge technologies.
- Company: Forward-thinking organisation in the banking and financial services sector.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Exciting projects with excellent career advancement potential.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: Experience in SQL, Python/Scala, and big data processing.
The predicted salary is between 50000 - 65000 £ per year.
12 months
Swindon - hybrid
Inside IR35 - umbrella only
Primary skills:
- Data Engineering & Pipeline Development (ETL/ELT design and implementation)
- Strong SQL & Data Modeling (query optimization, schema design)
- Programming Skills (Python / Scala for data processing)
- Big Data Processing (Spark / Databricks)
- Cloud Data Platforms (Azure / AWS / GCP - especially data services)
Secondary skills:
- API-based Data Integration & Microservices exposure
- Banking / Financial Services Domain Experience
If you're passionate about data engineering and eager to contribute to a forward-thinking organisation, we want to hear from you!
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Platform Engineer in Swindon employer: Experis
Join a dynamic and innovative team as a Platform Engineer in Swindon, where we prioritise employee growth and development within a collaborative work culture. Our commitment to cutting-edge technology and data solutions not only empowers our employees but also fosters a supportive environment that values creativity and initiative. With hybrid working options and a focus on the banking and financial services sector, we offer a unique opportunity to make a meaningful impact while enjoying a balanced work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer in Swindon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 data engineering projects, especially those involving SQL, Python, or big data tools like Spark. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and cloud platforms. Practise explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. 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 Platform Engineer in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering, SQL, and programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your experience with big data processing and cloud platforms like Azure or AWS. We’re looking for specific examples of how you’ve used these technologies in your previous roles.
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’s super easy!
How to prepare for a job interview at Experis
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially around ETL/ELT design and implementation. Be ready to discuss your experience with SQL and data modelling, as well as how you've optimised queries in past projects.
✨Show Off Your Programming Skills
Prepare to talk about your programming experience, particularly with Python and Scala. Have examples ready that showcase how you've used these languages for data processing, and be prepared to solve a coding challenge during the interview.
✨Familiarise Yourself with Big Data Tools
Since big data processing is key for this role, make sure you know your way around tools like Spark and Databricks. Be ready to explain how you've used these technologies in previous roles and any challenges you faced.
✨Understand Cloud Data Platforms
Get comfortable with cloud data platforms like Azure, AWS, or GCP, especially their data services. Be prepared to discuss how you've integrated APIs and worked with microservices, as this will show your versatility in the banking and financial services domain.
