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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; work two days a week in Liverpool.
The predicted salary is between 60000 - 75000 £ 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 : Liverpool- 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 - Liverpool employer: Xpertise Recruitment Ltd
Contact Detail:
Xpertise Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Liverpool
✨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 passion for data engineering by staying updated on the latest trends and advancements in the field. Consider sharing relevant articles or insights during your conversations with the hiring team to showcase your enthusiasm and commitment.
We think you need these skills to ace Data Engineer - Liverpool
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of a Data Engineer. Highlight your experience with AWS or Azure, Databricks or Snowflake, Python, and SQL in your application.
Tailor Your CV: Customize your CV to reflect your relevant skills and experiences that align with the job description. Emphasize your proficiency in object-oriented Python, CI/CD pipelines, and your understanding of cloud-based data storage.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to contribute to innovative projects. Mention specific technologies you've worked with and how they relate to the role.
Highlight Your Achievements: In both your CV and cover letter, include specific examples of past projects or achievements that demonstrate your expertise in data engineering and your ability to turn data into actionable insights.
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 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.
✨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.
