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- Tasks: Collaborate with teams to define data needs and optimise the firm's data platform.
- Company: Dynamic fintech startup in Newcastle with a focus on innovation.
- Benefits: Up to £120k salary, 25 days holiday, private healthcare, and a fun team atmosphere.
- Why this job: Shape the future of data engineering in a high-growth environment.
- Qualifications: Degree in Computer Science and experience with SQL, Python, and Apache Spark.
- Other info: Flexible working hours and continuous career development opportunities.
The predicted salary is between 72000 - 84000 £ per year.
Data Engineer (Python Spark SQL) *Newcastle Onsite* to £120k
Do you have a first class education combined with Data Engineering skills?
You could be progressing your career at a start-up Investment Management firm that have secure backing, an established Hedge Fund client as a partner and massive growth potential.
As a Data Engineer you will work closely with front office teams to understand and define their data needs, ensuring that data capabilities align with business objectives. You\’ll contribute to the ongoing development and operation of the firm\’s data platform, leveraging both in-house and third-party data tools to deliver scalable and efficient solutions.
A key focus will be on analysing and automating data-related processes, identifying opportunities to streamline workflows and reduce manual intervention. You will be responsible for building and maintaining data pipelines from a variety of external providers, ensuring the seamless integration of high-quality data into the firm\’s core platform.
Additionally, you\’ll curate and manage both internal and external datasets to support the front office\’s analytical and operational requirements. This will include designing and implementing pragmatic, best-practice data models and architectures that are fit for purpose in a fast-paced environment.
You\’ll also play a key role in establishing and enforcing data standards and quality controls, helping to ensure the integrity, consistency, and reliability of data across the organisation.
Location / WFH:
You\’ll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!).
About you:
What\’s in it for you:
As a Data Engineer you will earn a competitive package:
Data Engineer Python Spark SQL - Fintech employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Python Spark SQL - Fintech
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the hunt for a Data Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, Spark, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines or optimising data platforms, as this will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it gives you a better chance to stand out in the hiring process.
We think you need these skills to ace Data Engineer Python Spark SQL - Fintech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, Spark, and SQL, and don’t forget to mention any relevant projects or achievements that showcase your skills.
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. Keep it concise but engaging!
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills. Mention your experience with Azure, Databricks, and any other tools you’ve used. We love seeing practical examples of your work!
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 Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your Python, Spark, and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Business Context
Familiarise yourself with the fintech industry and the company's role within it. Knowing how data engineering supports business objectives will help you articulate your value during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or design data models on the spot. Practise explaining your thought process clearly and logically, as communication is key in collaborative environments.
✨Show Enthusiasm for Growth
This role is in a high-growth startup, so express your excitement about contributing to that journey. Share examples of how you've adapted to change and your eagerness to learn new tools like Azure and Databricks.
