At a Glance
- Tasks: Join a graduate trainee scheme, learn data engineering, and work with clients using Python and SQL.
- Company: A start-up Investment Management firm with strong backing and growth potential.
- Benefits: Earn Β£33k, enjoy 25 days holiday, Bupa healthcare, and a generous pension contribution.
- Why this job: Gain hands-on experience, work in a vibrant team, and enjoy a flexible work environment.
- Qualifications: Minimum 2.1 degree from a Russell Group university and experience with SQL, Apache Spark, and Python.
- Other info: Work in brand new Newcastle offices with great views and onsite showers for cyclists.
The predicted salary is between 19800 - 46200 Β£ 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 Graduate Data Engineer, you will join a graduate trainee scheme. Initially, you will undergo intensive training for the first three months, then move on to shadow more experienced Data Engineers working with their clients. After around six months, you will work with your own clients to provide them the data services they need. You will gain exposure to a wide range of technology, primarily using Python and SQL.
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 Russell Group university, Mathematics, Physics, Computer Science or similar technical/scientific discipline, backed by minimum A A A grades at A-level.
- You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas.
- You have a good understanding of modern data engineering best practices.
- Ideally, you will also have experience with Azure and Data Bricks.
- You are collaborative with excellent communication skills, comfortable liaising with clients and providing a service.
Whatβs in it for you:
- Starting salary of Β£33k.
- 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 Graduate Data Engineer (Python Spark SQL) 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.
Contact Detail:
Client Server Ltd. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Graduate Data Engineer Python Spark SQL
β¨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, especially Python, SQL, and Apache Spark. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.
β¨Tip Number 2
Network with professionals in the data engineering field, particularly those who have experience with investment management firms. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
β¨Tip Number 3
Prepare for technical interviews by practising coding challenges related to data engineering. Websites like LeetCode or HackerRank can help you sharpen your problem-solving skills in Python and SQL.
β¨Tip Number 4
Demonstrate your collaborative skills by engaging in group projects or team-based activities. Highlight any experiences where you've successfully communicated with clients or worked within a team to solve problems.
We think you need these skills to ace Graduate Data Engineer Python Spark SQL
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your academic achievements, particularly your degree and A-level results. Emphasise any relevant experience with Python, SQL, Apache Spark, and any other technologies mentioned in the job description.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of modern data practices. Mention specific projects or experiences that demonstrate your skills in Python and SQL, and how they relate to the role.
Highlight Soft Skills: In your application, don't forget to mention your collaborative nature and communication skills. Provide examples of how you've successfully worked in teams or liaised with clients in previous roles or projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering.
How to prepare for a job interview at Client Server Ltd.
β¨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and Apache Spark during the interview. Be prepared to discuss specific projects or coursework where you applied these technologies, as this will demonstrate your practical knowledge and readiness for the role.
β¨Understand Data Engineering Best Practices
Familiarise yourself with modern data engineering best practices before the interview. This could include topics like data warehousing, ETL processes, and data governance. Showing that you have a solid understanding of these concepts will impress your interviewers.
β¨Prepare for Behavioural Questions
Expect questions about teamwork and communication, as collaboration is key in this role. Think of examples from your academic or work experience where you successfully worked with others or communicated complex ideas clearly.
β¨Research the Company Culture
Take some time to learn about the company's values and culture. Understanding their commitment to diversity and continuous learning can help you align your answers with what they are looking for, making you a more attractive candidate.