Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transition core data platform to Azure and enhance data quality through event streaming.
- Company: Join a fast-growing start-up Investment Management firm in Newcastle with secure funding.
- Benefits: Enjoy a competitive salary, 25 days holiday, and team social events.
- Why this job: Be part of a collaborative team in a modern office with great views and flexible options.
- Qualifications: Degree in Computer Science or related field; experience in SQL, Spark, Python, and data engineering.
- Other info: Full-time role with early Friday finishes and facilities for cyclists and walkers.
The predicted salary is between 42000 - 84000 £ per year.
Data Engineer (Python Spark SQL) – Newcastle (Onsite) – Up to £70k
Are you a talented Data Engineer with expertise in Python, Spark, and SQL? Join a start-up Investment Management firm in Newcastle, backed by secure funding and with a strong growth trajectory.
In this role, you\’ll help transition the core data platform to Azure, manage third-party data ingestion, and enhance data quality through event streaming. You\’ll work closely with a small, collaborative team in a modern office environment.
Location / WFH:
Based in Newcastle city centre, working full-time (Monday to Friday, 0900-1800) with flexible options. The office offers great views, onsite showers, and facilities for cyclists and walkers.
About you:
- Degree in Computer Science or a related field, with at least a 2.1 from a top-tier university; minimum A A B grades at A-level
- Experience in Data Engineering using SQL, Apache Spark, Python, PySpark, and Pandas
- Knowledge of modern data engineering practices
- Preferred: experience with Azure and Data Bricks
- Enthusiastic about shaping a role in a start-up environment
- Excellent communication and collaborative skills
What’s in it for you:
- Competitive salary up to £150k (negotiable)
- Bonus
- 25 days holiday
- Team social events and early Friday finishes
#J-18808-Ljbffr
Data Engineer Python Spark SQL 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
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Spark, and SQL. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in start-ups or investment management. Attend local meetups or online webinars to connect with potential colleagues and learn more about the industry.
✨Tip Number 3
Research the company’s culture and values to understand what they are looking for in a candidate. Tailor your conversations during interviews to reflect your enthusiasm for working in a collaborative start-up environment.
✨Tip Number 4
Prepare to discuss your experience with Azure and Data Bricks, even if it's not a strict requirement. Highlight any relevant projects or coursework that demonstrate your ability to adapt and learn new technologies quickly.
We think you need these skills to ace Data Engineer Python Spark SQL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Spark, and SQL. Include specific projects or roles where you utilised these skills, especially in data engineering contexts.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the start-up environment and your ability to contribute to the team. Mention your relevant qualifications and how they align with the company's goals.
Showcase Relevant Experience: In your application, emphasise any experience you have with Azure and Data Bricks, as well as your knowledge of modern data engineering practices. Use concrete examples to demonstrate your expertise.
Highlight Soft Skills: Since the role requires excellent communication and collaboration skills, make sure to include examples of how you've successfully worked in teams or communicated complex ideas in previous roles.
How to prepare for a job interview at Client Server
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Spark, and SQL in detail. Bring examples of projects you've worked on that demonstrate your proficiency in these technologies, especially any relevant work involving Azure or Data Bricks.
✨Understand the Company Culture
Research the start-up's values and mission. Since they emphasise collaboration and a modern work environment, be ready to explain how you can contribute to their team dynamics and culture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data engineering and how you overcame them, particularly in relation to data quality and ingestion.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data platform transition to Azure and their future plans. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.