Junior Data Engineer: Python, PySpark & Azure Databricks in Manchester

Junior Data Engineer: Python, PySpark & Azure Databricks in Manchester

Manchester Full-Time 28800 - 43200 £ / year (est.) No working from home possible
Robert Walters UK

At a Glance

  • Tasks: Build and maintain scalable data pipelines using Python and PySpark.
  • Company: Join a dynamic recruitment agency in Manchester with a collaborative spirit.
  • Benefits: Enjoy a competitive salary and hybrid work flexibility.
  • Other info: Great opportunity for growth while working with diverse teams.
  • Why this job: Kickstart your career in data engineering and enhance your skills in a supportive environment.
  • Qualifications: Degree in a technical field and proficiency in Python required.

The predicted salary is between 28800 - 43200 £ per year.

A recruitment agency is seeking a motivated Junior Data Engineer in Manchester. You will develop and maintain scalable data pipelines, ensuring data integrity and quality while using Python and PySpark. This entry-level role offers the opportunity to enhance your skills in a collaborative environment, working with various teams to meet data needs.

A degree in a technical field is required, alongside proficiency in Python. The role offers a hybrid work environment with a competitive salary.

Junior Data Engineer: Python, PySpark & Azure Databricks in Manchester employer: Robert Walters UK

Join a dynamic team in Manchester as a Junior Data Engineer, where you'll thrive in a collaborative work culture that prioritises employee growth and development. With a hybrid work environment and competitive salary, this role not only allows you to enhance your technical skills in Python and PySpark but also offers unique opportunities to engage with diverse teams, making your contributions impactful and rewarding.

Robert Walters UK

Contact Details:

Robert Walters UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Engineer: Python, PySpark & Azure Databricks in Manchester

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects using Python and PySpark. This will not only demonstrate your technical abilities but also give you something tangible to discuss during interviews.

Tip Number 3

Prepare for those interviews! Research common questions for Junior Data Engineers and practice your answers. We recommend focusing on your problem-solving approach and how you ensure data integrity in your work.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to get noticed by recruiters. Plus, we’re always looking for passionate individuals ready to dive into the world of data engineering.

We think you need these skills to ace Junior Data Engineer: Python, PySpark & Azure Databricks in Manchester

Python
PySpark
Data Pipeline Development
Data Integrity
Data Quality
Collaboration Skills
Technical Degree

Some tips for your application 🫡

Show Off Your Python Skills:Make sure to highlight your proficiency in Python in your application. We want to see how you've used it in past projects or coursework, so don’t hold back on those details!

Tailor Your CV:Customise your CV to reflect the skills and experiences that align with the Junior Data Engineer role. We love seeing candidates who take the time to connect their background with what we’re looking for.

Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you express your enthusiasm for the role without rambling on.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.

How to prepare for a job interview at Robert Walters UK

Know Your Tech

Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss how you've used these technologies in past projects or coursework, as this will show your practical understanding and readiness for the role.

Understand Data Pipelines

Familiarise yourself with the concept of data pipelines and how they function. Be prepared to explain how you would approach developing and maintaining scalable data pipelines, as this is a key part of the job.

Show Your Collaborative Spirit

Since the role involves working with various teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can contribute to a team environment.

Ask Smart Questions

Prepare thoughtful questions about the company's data needs and the tools they use. This not only shows your interest in the role but also gives you insight into how you can fit into their team and contribute effectively.