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- Tasks: Transform banking data using big data technologies and ETL processes.
- Company: Leading technology consultancy with a focus on innovation.
- Benefits: Competitive pay, flexible working, and opportunities for skill enhancement.
- Other info: 2 days onsite in Glasgow with great career advancement potential.
- Why this job: Join a dynamic team and work with cutting-edge banking datasets.
- Qualifications: 5+ years in data engineering, strong SQL and Python/Scala skills.
The predicted salary is between 48000 - 72000 £ per year.
A technology consultancy is seeking a Data Engineer based in Glasgow, UK, to work on contract with a focus on banking datasets and big data technologies.
The ideal candidate must possess over 5 years of experience, strong knowledge of SQL and Python/Scala, and familiarity with cloud platforms like AWS, Azure, or GCP.
The role requires hands-on experience with ETL processes and big data tools such as Spark and Kafka, alongside an understanding of the banking domain regulations.
This position is a 2-day onsite requirement.
Banking Data Engineer – Cloud, Big Data & ETL (Glasgow) employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Banking Data Engineer – Cloud, Big Data & ETL (Glasgow)
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and tech sectors. Attend meetups or webinars related to data engineering, and don’t be shy about mentioning you’re on the lookout for opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL, Python, and big data tools like Spark and Kafka. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of banking regulations and be ready to discuss how your experience aligns with the role. Practise common interview questions and have examples ready that highlight your ETL and cloud experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Banking Data Engineer – Cloud, Big Data & ETL (Glasgow)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python/Scala, and any cloud platforms you've worked with. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant 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 in the banking sector and how your background makes you a perfect fit for this role. We love seeing enthusiasm and a personal touch!
Showcase Your ETL Experience: Since this role focuses on ETL processes, make sure to detail your hands-on experience with these tools. Whether it's Spark or Kafka, we want to know how you've used them to solve real-world problems 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 – just a few clicks and you’re done!
How to prepare for a job interview at N Consulting Limited
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python/Scala skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to ETL processes and big data tools like Spark and Kafka.
✨Understand the Banking Domain
Familiarise yourself with banking regulations and how they impact data engineering. Being able to speak knowledgeably about compliance and data governance will show that you understand the industry and can navigate its complexities.
✨Cloud Platforms Are Key
Since the role involves cloud technologies, ensure you have a solid grasp of AWS, Azure, or GCP. Prepare to discuss any hands-on experience you have with these platforms, particularly in relation to data storage and processing.
✨Prepare for Practical Scenarios
Expect to face practical questions or case studies during the interview. Think through how you would approach real-world problems involving banking datasets and be ready to explain your thought process clearly.