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For Companies At a Glance
- Tasks: Develop and support enterprise-level information systems for a major UK rail network.
- Company: Join one of the largest rail infrastructure companies in the UK, focused on innovation.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of impactful projects that enhance customer satisfaction and operational efficiency.
- Qualifications: Experience in data modelling, Azure Data Lake, and data pipeline development is essential.
- Other info: Ideal for tech-savvy individuals eager to make a difference in the rail industry.
The predicted salary is between 36000 - 60000 £ per year.
One of the biggest UK rail network companies operating with rail infrastructure and asset management has a need to develop and support enterprise-level information systems. Align the data science initiatives with the overall business goals. This could range from improving customer satisfaction, enhancing operational efficiency, to driving sales growth.
Responsibilities:
- DWH development
- Data modelling
- Requirements clarification
- Customer communications
Skills:
Must have:
- Data Modelling
- Azure Data Lake
- Azure Data Factory
- Data Pipeline development
- Postgres, MySQL and SQLite
Nice to have:
- Machine learning
- Python
Data Engineer employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Data Lake and Azure Data Factory. Having hands-on experience or projects showcasing these technologies can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with rail infrastructure or similar industries. Attend relevant meetups or webinars to gain insights and potentially get referrals.
✨Tip Number 3
Prepare to discuss how your previous experiences align with the company's goals, particularly in improving customer satisfaction and operational efficiency. Be ready to share specific examples of how you've contributed to similar outcomes in past roles.
✨Tip Number 4
Stay updated on the latest trends in data engineering and machine learning. Being knowledgeable about current advancements can help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities of a Data Engineer as outlined in the job description. Familiarise yourself with data warehousing development, data modelling, and the specific technologies mentioned like Azure Data Lake and Azure Data Factory.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your expertise in data modelling, pipeline development, and any experience with databases such as Postgres, MySQL, and SQLite.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the company's goals. Discuss how your skills in data engineering can enhance operational efficiency and improve customer satisfaction, as mentioned in the job description.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or typos. A polished application reflects attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at Click To Hired
✨Showcase Your Data Modelling Skills
Be prepared to discuss your experience with data modelling in detail. Bring examples of past projects where you successfully designed and implemented data models, and be ready to explain your thought process and the tools you used.
✨Demonstrate Your Knowledge of Azure Tools
Since the role requires expertise in Azure Data Lake and Azure Data Factory, make sure you can articulate how you've used these tools in previous roles. Discuss specific scenarios where you leveraged these technologies to solve problems or improve processes.
✨Prepare for Technical Questions
Expect technical questions related to data pipeline development and database management systems like Postgres, MySQL, and SQLite. Brush up on your SQL skills and be ready to write queries or troubleshoot common issues during the interview.
✨Align with Business Goals
Understand the company's mission and how data engineering contributes to their overall business objectives. Be ready to discuss how your work can enhance customer satisfaction, operational efficiency, and sales growth, showing that you can think beyond just the technical aspects.
