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- Tasks: Design and build scalable data pipelines for critical applications and analytics.
- Company: Join a top global IT services and consulting firm with a strong reputation.
- Benefits: Competitive daily rate of £500, with potential for contract extension.
- Why this job: Be part of a dynamic team and work with cutting-edge cloud technologies.
- Qualifications: Experience in Azure Data Factory, Snowflake, Databricks, and Python required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 120000 - 168000 £ per year.
Are you looking for an exciting new opportunity? Join one of the world's leading IT services, consulting, and business solutions organizations. Founded in 1968, the company consistently ranks among the top global IT service providers. With a presence in over 50 countries, the company has built a reputation for delivering high-quality technology services across industries including banking, healthcare, telecommunications, and retail.
The leading consultancy firm is seeking a skilled Azure Data Engineer to join on a 6-month contract with strong potential for extension. Want to be part of a team that thrives in excellence? Feel free to reach out and apply today!
Responsibilities:
- Design and build robust, scalable data pipelines that serve business-critical applications and analytics use cases.
- Modernise and migrate Legacy ETL processes into cloud-native solutions using tools such as Azure Data Factory, Snowflake, and Databricks.
- Collaborate with cross-functional teams including data architects, analysts, and platform engineers to deliver production-ready solutions.
- Proactively identify and resolve data quality issues, building in monitoring, testing, and automation where possible.
- Uphold engineering best practices through documentation, peer reviews, and continuous improvement.
Skills/Must have:
- Extensive hands-on experience as a Data Engineer working across both on-prem and cloud data platforms.
- Strong expertise in Azure Data Factory (ADF), Snowflake, Databricks, and Python.
- Proficiency in SQL and debugging data workflows across hybrid environments.
- Deep understanding of data modelling, warehousing concepts, and performance tuning.
- Excellent communication and collaboration skills.
Salary: £500 per day
Azure Data Engineer - Consultancy employer: Hamilton Barnes Associates Limited
Contact Detail:
Hamilton Barnes Associates Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer - Consultancy
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or data engineering. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory, Snowflake, and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled data quality issues or modernised ETL processes. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Azure Data Engineer - Consultancy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure Data Engineer role. Highlight your experience with Azure Data Factory, Snowflake, and Databricks, as well as any relevant projects that showcase your skills in building data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background makes you a perfect fit for the team. Don’t forget to mention your collaboration skills and how you’ve tackled data quality issues in the past.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise, especially in SQL and Python. Mention specific examples of how you've used these skills to solve problems or improve processes in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Hamilton Barnes Associates Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Data Factory, Snowflake, and Databricks skills. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified and resolved data quality issues in the past. Highlight your approach to building monitoring and automation into your workflows, as this will demonstrate your proactive mindset.
✨Collaboration is Key
Since you'll be working with cross-functional teams, think of instances where you've successfully collaborated with data architects, analysts, or platform engineers. Be ready to share how you communicated effectively and contributed to team success.
✨Emphasise Best Practices
Discuss your commitment to engineering best practices, such as documentation and peer reviews. Share how you’ve implemented continuous improvement in your previous roles, as this aligns with the company's values.
