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- Tasks: Join us as an Azure Data Engineer to develop and support enterprise-level information systems.
- Company: Work with one of the UK's largest rail network companies focused on infrastructure and asset management.
- Benefits: Enjoy a contract role with opportunities for professional development and hands-on experience.
- Why this job: Make a real impact by aligning data initiatives with business goals and enhancing customer satisfaction.
- Qualifications: Experience in data modelling, Azure services, and programming languages like Python is essential.
- Other info: This role offers a chance to work on exciting projects in the rail industry.
The predicted salary is between 48000 - 72000 £ per year.
Do you want to become a professional and develop in DWH Development sphere? We are looking for an Azure Data Engineer (contract role) for our Client which is one of the biggest UK rail network companies operating with rail infrastructure and asset management which has a need to develop and support enterprise-level information systems.
Responsibilities include:
- Aligning the data science initiatives with the overall business goals.
- Improving customer satisfaction, enhancing operational efficiency, and driving sales growth.
- Data Modelling
- Azure Data Lake
- Azure Data Factory
- Data Pipeline development
- Postgres, MySQL and SQLite
- Machine learning
- Python
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure Engineer
✨Tip Number 1
Familiarise yourself with Azure services, especially Azure Data Lake and Azure Data Factory. Understanding how these tools work together will give you a significant edge during interviews.
✨Tip Number 2
Brush up on your data modelling skills. Be prepared to discuss how you would approach designing data models that align with business goals, as this is crucial for the role.
✨Tip Number 3
Gain hands-on experience with Python for data pipeline development. Having practical examples of your work can demonstrate your capability and problem-solving skills to potential employers.
✨Tip Number 4
Stay updated on the latest trends in machine learning and how they can be applied within the rail industry. Showing your knowledge of industry-specific applications can set you apart from other candidates.
We think you need these skills to ace Data Engineer - Azure Engineer
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Data Engineer, particularly in the context of Azure. Highlight your experience with data modelling, Azure Data Lake, and Azure Data Factory in your application.
Tailor Your CV: Make sure your CV reflects relevant skills and experiences related to data pipeline development, machine learning, and programming languages like Python. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, explain how your background aligns with the company's goals, especially in enhancing operational efficiency and customer satisfaction. Show enthusiasm for the role and the company.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.
How to prepare for a job interview at Luxoft
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Lake, Azure Data Factory, and data pipeline development. Highlight specific projects where you've used these technologies, as practical examples can demonstrate your expertise effectively.
✨Understand the Business Context
Research the company’s role in the UK rail network and how data engineering contributes to their goals. Be ready to discuss how your work can enhance operational efficiency or improve customer satisfaction, aligning your skills with their business objectives.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially in relation to data modelling and machine learning. Prepare to explain your thought process in tackling complex data challenges and how you’ve successfully implemented solutions in the past.
✨Prepare for Behavioural Questions
Be ready to answer behavioural questions that explore your teamwork and communication skills. Since collaboration is key in data engineering roles, share examples of how you've worked effectively with cross-functional teams to achieve project goals.
