Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design, build, and maintain robust data systems using Python and SQL.
- Company: Join a globally renowned tech consultancy expanding their data function.
- Benefits: Enjoy health care, life assurance, 25 days holiday, and gym perks.
- Why this job: Work with cutting-edge technologies on innovative projects that make a real impact.
- Qualifications: Proficiency in Python, SQL, and cloud-based data storage is essential.
- Other info: Positions available at Mid, Senior, and Lead levels; hybrid work in Leeds.
The predicted salary is between 48000 - 84000 £ per year.
Job Description Data Engineers – AWS or Azure | Databricks or Snowflake | Python | SQL Our client, a globally renowned and award-winning technology consultancy are going through significant expansion of their data function and looking for a large number of Data Engineers & Data Architects as part of that expansion. Overview of roles: We’re looking for Data Engineers at all levels, from Mid, Senior and Lead. Locations: Leeds- two days a week Salary £60,000 – £75,000 (potential flex on this upwards for the lead level role) + Benefits (Health Care, Life Assurance, 25 days Holiday, Electric Vehicle scheme, Gym and more) Overview : This is a fantastic chance to work with cutting-edge technologies across a variety of industries, typically enterprise level, contributing to innovative projects that make a genine impact. As a Data Engineer, you’ll have both software engineering expertise and cutting-edge data practices to help clients turn data into actionable insights. You’ll design, build, and maintain robust data systems while championing modern Data principles. Oh, and expect lots of variety! Requirements Proficiency in object-oriented Python CI/CD pipelines. Experience with SQL (complex queries) and ETL processes. Strong understanding of cloud-based data storage and processing.
Data Engineer - Leeds employer: Xpertise
Contact Detail:
Xpertise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Leeds
✨Tip Number 1
Make sure to showcase your experience with cloud platforms like AWS or Azure. Highlight any projects where you've utilized these technologies, as this will demonstrate your hands-on expertise in a relevant environment.
✨Tip Number 2
Familiarize yourself with Databricks and Snowflake, as these are key tools for the role. If you have experience with them, be ready to discuss specific use cases or projects where you've implemented these technologies.
✨Tip Number 3
Prepare to discuss your knowledge of CI/CD pipelines and how you've applied them in your previous roles. This is crucial for demonstrating your ability to maintain robust data systems effectively.
✨Tip Number 4
Since the role involves working with complex SQL queries, brush up on your SQL skills. Be prepared to solve problems or answer questions related to SQL during the interview process to show your proficiency.
We think you need these skills to ace Data Engineer - Leeds
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements for the Data Engineer position. Highlight your relevant experience with AWS or Azure, Databricks or Snowflake, Python, and SQL.
Tailor Your CV: Customize your CV to reflect your skills and experiences that align with the job description. Emphasize your proficiency in object-oriented Python, CI/CD pipelines, and your experience with complex SQL queries and ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of modern data principles. Mention specific projects where you have successfully designed and maintained data systems.
Highlight Relevant Projects: In your application, include examples of past projects that demonstrate your ability to work with cutting-edge technologies and your impact on previous employers. This will help you stand out as a candidate who can contribute to innovative projects.
How to prepare for a job interview at Xpertise
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and cloud technologies like AWS or Azure. Highlight specific projects where you've implemented CI/CD pipelines or worked with ETL processes.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process clearly and concisely, as this will show your ability to tackle complex data challenges.
✨Understand the Company’s Data Vision
Research the consultancy's approach to data engineering and their recent projects. Being knowledgeable about their work will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Prepare Questions for the Interviewers
Have insightful questions ready about the team dynamics, the technologies they use, and the types of projects you'll be working on. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
