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- Tasks: As a Senior Data Engineer, you'll design and implement data solutions using cutting-edge technologies.
- Company: Join nudge, a forward-thinking company revolutionising the financial landscape with innovative data solutions.
- Benefits: Enjoy flexible working hours, remote work options, and a vibrant company culture that values creativity.
- Why this job: This role offers the chance to work on impactful projects in open banking, shaping the future of finance.
- Qualifications: You need expertise in Open Banking, programming (Python, Scala, Java), cloud platforms, and SQL.
- Other info: Ideal for tech-savvy individuals eager to make a difference in the fintech industry.
The predicted salary is between 54000 - 84000 £ per year.
Skills Required
When applying for this position, the ideal candidate should have:
Knowledge of Open Banking
It is essential to have a solid understanding of open banking frameworks, protocols, and APIs, including examples such as Open Banking UK and PSD2.
Programming Proficiency
Proficiency in programming languages such as Python, Scala, or Java is necessary for this role.
Experience with Cloud Data Platforms
The candidate should have experience working with cloud data platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse).
SQL Expertise
Being an expert in SQL is a key requirement for this position.
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Senior Data Engineer in London - nudge employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London - nudge
✨Tip Number 1
Familiarise yourself with the latest trends and updates in open banking. This will not only help you understand the frameworks better but also show your potential employer that you're proactive and knowledgeable about the industry.
✨Tip Number 2
Engage with online communities or forums related to data engineering and open banking. Networking with professionals in these spaces can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Consider working on personal projects or contributing to open-source projects that utilise Python, Scala, or Java. This hands-on experience can be a great talking point during interviews and demonstrates your coding skills.
✨Tip Number 4
Brush up on your SQL skills by solving real-world problems or challenges. Being able to discuss specific scenarios where you've used SQL effectively can set you apart from other candidates.
We think you need these skills to ace Senior Data Engineer in London - nudge
Some tips for your application 🫡
Understand Open Banking: Familiarise yourself with open banking frameworks, protocols, and APIs. Highlight your knowledge of Open Banking UK and PSD2 in your application to demonstrate your expertise.
Showcase Programming Skills: Make sure to emphasise your proficiency in programming languages like Python, Scala, or Java. Provide specific examples of projects or tasks where you utilised these languages effectively.
Highlight Cloud Experience: Detail your experience with cloud data platforms such as GCP or Azure. Mention specific tools like BigQuery, Dataflow, Data Factory, or Synapse that you have worked with to showcase your relevant skills.
Demonstrate SQL Expertise: Since SQL expertise is crucial for this role, include examples of how you've used SQL in past projects. Discuss any complex queries or data manipulation tasks you've successfully completed.
How to prepare for a job interview at WorksHub
✨Brush Up on Open Banking Knowledge
Make sure you have a solid understanding of open banking frameworks, protocols, and APIs. Familiarise yourself with examples like Open Banking UK and PSD2, as this will likely come up during the interview.
✨Showcase Your Programming Skills
Be prepared to discuss your proficiency in programming languages such as Python, Scala, or Java. Consider bringing examples of past projects where you utilised these languages effectively.
✨Demonstrate Cloud Data Platform Experience
Highlight your experience with cloud data platforms like GCP or Azure. Be ready to discuss specific tools you've used, such as BigQuery or Data Factory, and how they contributed to your previous projects.
✨SQL Expertise is Key
Since SQL expertise is crucial for this role, be prepared to answer technical questions or even solve problems on the spot. Brush up on complex queries and be ready to explain your thought process.
