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- 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 £33k, enjoy 25 days holiday, Bupa healthcare, and a generous pension contribution.
- Why this job: Gain hands-on experience in a collaborative environment with continuous career development opportunities.
- Qualifications: Minimum 2.1 degree from a Russell Group university and experience with SQL, Apache Spark, and Python.
- Other info: Work in modern Newcastle offices with great views and flexible hours; onsite showers available.
The predicted salary is between 19800 - 46200 £ per year.
About
Graduate Data Engineer (Python Spark SQL) *Newcastle Onsite* to £33k
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 Graduate Data Engineer you\’ll join a graduate trainee scheme, initially you\’ll get to grips with intensive training for the first three months, you\’ll then move on to shadow more experienced Data Engineers working with their clients and following that (at around six months) you\’ll move on to working with your own clients to provide them the data services they need. You\’ll gain exposure to a wide range of technology, primarily using Python and SQL.
Location / WFH:
You\’ll 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 Russel 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\’re collaborative with excellent communication skills, comfortable liaising with clients and providing a service
What\’s In It For You
As a Graduate Data Engineer you will earn a competitive package:
Starting salary of £33k
Bonus
25 days holiday
Bupahealthcare
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\’re 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.
Nice-to-have skills
- Python
- SQL
- PySpark
- Pandas
- Azure
- Newcastle upon Tyne, England
Work experience
- Data Engineer
Languages
- English
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Graduate Data Engineer Python Spark SQL employer: TieTalent
Contact Detail:
TieTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Engineer Python Spark SQL
✨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.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who have experience with Azure and Data Bricks. Attend local meetups or online webinars to connect with industry experts and gain insights into the role.
✨Tip Number 3
Prepare for potential interviews by practising common data engineering interview questions. Focus on problem-solving scenarios that involve SQL queries and data manipulation using Python, as these are likely to come up.
✨Tip Number 4
Showcase your collaborative skills by participating in group projects or hackathons. Highlight any experiences where you successfully communicated with team members or clients, as this is a key aspect of the role.
We think you need these skills to ace Graduate Data Engineer Python Spark SQL
Some tips for your application 🫡
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 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.
Highlight Relevant Skills: In your application, clearly outline your technical skills, especially those related to data engineering such as PySpark, Pandas, and any experience with Azure or Data Bricks. This will help you stand out as a candidate.
Showcase Soft Skills: Don't forget to mention your communication and collaboration skills. The role involves liaising with clients, so demonstrating your ability to work well in a team and communicate effectively is crucial.
How to prepare for a job interview at TieTalent
✨Showcase Your Academic Achievements
Make sure to highlight your academic record, especially if you have a 2.1 or higher from a Russell Group university. Be prepared to discuss how your studies in Mathematics, Physics, or Computer Science have equipped you with the skills necessary for a Data Engineering role.
✨Demonstrate Technical Proficiency
Familiarise yourself with Python, SQL, Apache Spark, and any other relevant technologies mentioned in the job description. Be ready to discuss specific projects or experiences where you've applied these skills, particularly using PySpark and Pandas.
✨Emphasise Collaboration and Communication Skills
Since the role involves liaising with clients, it's crucial to demonstrate your ability to communicate effectively. Prepare examples of past experiences where you've worked in a team or interacted with clients to showcase your collaborative nature.
✨Research the Company Culture
Understand the company's values and culture, especially their commitment to diversity and continuous learning. This will help you align your answers with what they are looking for and show that you're genuinely interested in being part of their team.
