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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 impactful projects across various industries.
- Qualifications: Proficiency in Python, SQL, and cloud-based data storage required.
- Other info: Flexible salary based on experience; hybrid work model in Sheffield.
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: Sheffield- 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 process…
Data Engineer - Sheffield employer: Xpertise Recruitment Ltd
Contact Detail:
Xpertise Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Sheffield
✨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 professionals in the data engineering field, especially those who work with the technologies listed. Attend meetups, webinars, or online forums to connect with others and gain insights into the industry trends and best practices.
✨Tip Number 3
Prepare to discuss your experience with CI/CD pipelines and ETL processes during the interview. Be ready to provide examples of how you've implemented these in past projects, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Show your enthusiasm for working on innovative projects that make a genuine impact. Research the company’s recent projects or initiatives and be prepared to discuss how your skills and interests align with their mission and values.
We think you need these skills to ace Data Engineer - Sheffield
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 the technologies mentioned in the job description. Emphasize your expertise in data engineering, cloud services, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your skills align with the company's needs. Mention specific projects or experiences that demonstrate your ability to contribute to innovative data solutions.
Highlight Relevant Experience: In your application, be sure to highlight any experience you have with CI/CD pipelines, ETL processes, and complex SQL queries. Use concrete examples to illustrate your capabilities and achievements in these areas.
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 consultancy'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 team.
✨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.
