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- Tasks: Design, build, and maintain robust data systems for actionable insights.
- Company: Join a globally renowned, award-winning consultancy making a real difference.
- Benefits: Enjoy hybrid work options and competitive salary between £60,000-£70,000.
- Why this job: Work in a fast-paced, agile environment with skilled teams on modern data platforms.
- Qualifications: Proficiency in Python, SQL, and cloud-based data storage is essential.
- Other info: Expect to leverage cutting-edge tools like Databricks, AWS, and Azure.
The predicted salary is between 60000 - 70000 £ per year.
Data Engineer Opportunity Location: Hybrid (2 days/week) – Nottinghamshire Salary: £60,000-£70,000 Are you passionate about creating scalable, reliable data solutions that make a real difference? We’re hiring for a number of Data Engineer role with a globally renowned, award-winning consultancy. About the Role As a Data Engineer, you’ll combine software engineering expertise with cutting-edge data practices to help clients turn data into actionable insights. You’ll design, build, and maintain robust data systems while championing DataOps principles. Working in a fast-paced, agile environment, you’ll collaborate with skilled, multidisciplinary teams to deliver modern data platforms for large organizations. Expect variety – you’ll work across cloud platforms like Azure, AWS, and GCP, leveraging tools such as Databricks, Data Factory, Synapse, Kafka, Glue, Redshift, BigQuery, and more. About You You’re an engineer at heart, with a passion for building efficient, scalable data systems. To succeed, you’ll need: Proficiency in object-oriented Python and CI/CD pipelines. Experience with SQL (complex queries) and ETL processes. Strong understanding of cloud-based data storage and processing. Knowledge of coding best practices, parallel computing, and workflow automation….
Data Engineer employer: Xpertise Recruitment Ltd
Contact Detail:
Xpertise Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with the specific cloud platforms mentioned in the job description, such as Azure, AWS, and GCP. Having hands-on experience or certifications in these areas can significantly boost your chances of standing out.
✨Tip Number 2
Showcase your experience with tools like Databricks, Data Factory, and Kafka in your discussions. Being able to speak confidently about how you've used these tools in past projects will demonstrate your practical knowledge and readiness for the role.
✨Tip Number 3
Highlight any experience you have with CI/CD pipelines and ETL processes during your conversations. This will show that you understand the importance of automation and efficiency in data engineering.
✨Tip Number 4
Prepare to discuss your approach to DataOps principles and how you’ve implemented them in previous roles. This will illustrate your commitment to modern data practices and your ability to work in agile environments.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required skills, such as proficiency in Python, SQL, and cloud platforms.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your expertise in data systems, CI/CD pipelines, and any specific tools mentioned like Databricks or AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to create scalable solutions. Mention specific projects or experiences that demonstrate your skills and how they relate to the role.
Highlight Collaboration Skills: Since the role involves working in multidisciplinary teams, make sure to include examples of past collaborations in your application. Show how you’ve successfully worked with others to deliver data solutions.
How to prepare for a job interview at Xpertise Recruitment Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in object-oriented Python and CI/CD pipelines. Bring examples of past projects where you implemented these skills, as this will demonstrate your hands-on experience and technical expertise.
✨Demonstrate Your Data Knowledge
Make sure to highlight your experience with SQL and ETL processes. Be ready to explain complex queries you've written and how you've optimized data workflows in previous roles.
✨Familiarize Yourself with Cloud Platforms
Since the role involves working with cloud platforms like Azure, AWS, and GCP, it’s crucial to understand their features and benefits. Prepare to discuss any relevant experience you have with these platforms and how you've utilized them in your work.
✨Emphasize Collaboration and Agile Experience
This position requires working in multidisciplinary teams within an agile environment. Share examples of how you've successfully collaborated with others and adapted to fast-paced changes in previous projects.
