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- Tasks: Build and maintain data pipelines, automate processes, and ensure data quality.
- Company: Exciting fintech start-up with strong backing and growth potential.
- Benefits: Competitive salary up to £120k, bonus, healthcare, generous pension, and 25 days holiday.
- Why this job: Join a dynamic team and shape your role in a fast-paced environment.
- Qualifications: Strong academic background and experience with SQL, Databricks, and Python.
- Other info: Collaborative culture with social events and flexible working hours.
The predicted salary is between 43200 - 72000 £ per year.
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 has 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 will 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 will 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 will 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 will join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours 0900-1800 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:
- You have an academic record of achievement, minimum 2.1 at BSc from a top tier university, Computer Science or similar technical/scientific discipline, backed by minimum A A B grades at A-level.
- You have commercial Data Engineering experience and a strong understanding of modern data engineering best practices.
- You have experience with Databricks, ideally also Azure.
- You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas.
- You are excited to join a start-up in a role that you can shape and influence.
- You are collaborative with excellent communication skills.
What’s in it for you:
- Salary to £120k
- Bonus
- 25 days holiday
- Bupa healthcare
- Generous pension contribution
- Continuous career development opportunities
- Social team atmosphere with a range of events and early finish for drinks on Fridays.
Apply now to find out more about this Data Engineer (SQL Databricks Python) opportunity.
At Client Server, we believe in a diverse workplace that allows people to play to their strengths and continually learn. We are an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Data Engineer SQL Databricks - Fintech in Newcastle upon Tyne employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer SQL Databricks - Fintech in Newcastle upon Tyne
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. The more you engage with others, the better your chances of landing that Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving SQL, Databricks, and Python. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your data engineering concepts and problem-solving skills. Practice common interview questions and be ready to discuss how you've tackled challenges in past roles.
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who take the initiative and show genuine interest in joining our team!
We think you need these skills to ace Data Engineer SQL Databricks - Fintech in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Databricks, and Python, 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 excited about this opportunity and how your background aligns with the company’s goals. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to analyse and automate data-related processes. Share examples of how you've streamlined workflows or improved data quality in 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Databricks, and Python 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
Research the fintech industry and the specific company you're interviewing with. Understand their data needs and how your role as a Data Engineer will contribute to their objectives. This will show that you're not just technically skilled but also business-savvy.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or optimise data processes. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to streamline workflows effectively.
✨Showcase Your Collaborative Spirit
Since you'll be working closely with front office teams, highlight your communication and teamwork skills. Share examples of how you've successfully collaborated in the past, and be prepared to discuss how you would approach working with different stakeholders in this new role.