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- Tasks: Design, build, and maintain robust data systems using Python and SQL.
- Company: Join a globally renowned tech consultancy expanding its data function.
- Benefits: Enjoy health care, life assurance, 25 days holiday, and gym perks.
- Why this job: Work with cutting-edge tech on innovative projects that make a real impact.
- Qualifications: Proficiency in Python, SQL, and cloud-based data storage required.
- Other info: Flexible salary based on experience; hybrid work model in Manchester.
The predicted salary is between 48000 - 72000 £ per year.
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: Manchester- 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 proces…
Data Engineer - Manchester employer: Xpertise Recruitment Ltd
Contact Detail:
Xpertise Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Manchester
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as AWS, Azure, Databricks, and Snowflake. Having hands-on experience or projects showcasing your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with current Data Engineers or professionals in the industry through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and best practices in data engineering. Participating in relevant online courses or webinars can not only enhance your knowledge but also demonstrate your commitment to continuous learning.
✨Tip Number 4
Prepare for technical interviews by practicing coding challenges related to Python and SQL. Websites like LeetCode or HackerRank can help you sharpen your skills and boost your confidence before the interview.
We think you need these skills to ace Data Engineer - Manchester
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Highlight the key skills required, such as proficiency in Python, SQL, and experience with AWS or Azure.
Tailor Your CV: Customize your CV to reflect your experience with relevant technologies like Databricks or Snowflake. Emphasize your software engineering expertise and any projects where you've turned data into actionable insights.
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 examples of how you've contributed to innovative projects in the past.
Highlight Relevant Experience: In your application, make sure to detail your experience with CI/CD pipelines and ETL processes. Use metrics and outcomes to demonstrate the impact of your work in previous roles.
How to prepare for a job interview at Xpertise Recruitment Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and cloud platforms 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.
✨Familiarize Yourself with the Company’s Projects
Research the company’s recent projects and technologies they use. Being knowledgeable about their work will help you ask insightful questions and demonstrate your genuine interest in contributing to their innovative projects.
✨Prepare for Behavioral Questions
Be ready to discuss your teamwork and communication skills. Data Engineers often collaborate with various teams, so sharing examples of successful collaborations or how you handled conflicts can set you apart.
