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- Tasks: Create data pipelines and implement ETL processes using Azure Databricks.
- Company: Join Accenture, a global leader in professional services and technology solutions.
- Benefits: Enjoy 25 days of vacation, private medical insurance, and extra leave for charity work.
- Why this job: Be part of a diverse team, solve real-world problems, and enhance your tech skills.
- Qualifications: Experience with Azure ETL processes, SQL, Python, and strong problem-solving abilities required.
- Other info: Flexibility to travel to client sites across the UK is essential.
The predicted salary is between 28800 - 42000 £ per year.
Locations: Birmingham (must be willing to be based at and travel to client sites throughout the UK)
Salary: Competitive salary and package (Depending on level of experience)
As an Azure Cloud Data Engineer, your responsibilities will include:
- Working predominantly with Azure Databricks to create data pipelines.
- Ensuring data quality and implementing ETL (extract, transform, and load) processes to migrate and deploy data across systems.
- Performing independently and becoming a subject matter expert (SME).
- Developing innovative data solutions to optimize data generation, collection, and processing.
- Collaborating with cross-functional teams to ensure data quality and integrity.
We are seeking an experienced Azure Cloud Data Engineer with:
- Experience in development and administration of ETL processes in Azure cloud environment.
- Troubleshooting issues, working with and managing third-party vendors, and aiding internal and external customers.
- Strong problem-solving and troubleshooting skills.
- Engaging with multiple teams and contributing to key decisions.
- Providing solutions to problems for their immediate team and across multiple teams.
- Ensuring data privacy and security in all data-driven interfaces.
Set yourself apart:
- Good knowledge of SQL/Python/PySpark development.
- Proven understanding of Azure cloud principles & Azure DevOps.
- Understanding of SQL optimization best practices.
- Understanding of data quality principles and best practices.
At Accenture, in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.
Azure Cloud Data Engineer employer: Devopshunt
Contact Detail:
Devopshunt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Cloud Data Engineer
✨Tip Number 1
Familiarise yourself with Azure Databricks and its functionalities. Being able to discuss specific projects or experiences where you've used Databricks will show your expertise and make you stand out during interviews.
✨Tip Number 2
Brush up on your ETL processes, especially in the Azure environment. Be prepared to share examples of how you've implemented these processes in past roles, as this is a key responsibility for the position.
✨Tip Number 3
Network with current or former employees at Accenture, particularly those in similar roles. They can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Stay updated on the latest trends in data engineering and Azure technologies. Being knowledgeable about recent developments can help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
We think you need these skills to ace Azure Cloud Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Azure Databricks, ETL processes, and any troubleshooting skills. Use keywords from the job description to ensure it aligns with what Accenture is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Azure cloud principles. Mention specific projects or experiences that demonstrate your problem-solving abilities and collaboration with cross-functional teams.
Showcase Technical Skills: In your application, emphasise your proficiency in SQL, Python, and PySpark. If you have experience with Azure DevOps or data quality principles, make sure to include that as well, as it will set you apart from other candidates.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for a role that involves data integrity.
How to prepare for a job interview at Devopshunt
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Databricks, ETL processes, and any relevant programming languages like SQL, Python, or PySpark. Highlight specific projects where you've successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Accenture values strong problem-solving skills. Prepare examples of challenges you've faced in previous roles, particularly those involving troubleshooting and working with third-party vendors, and explain how you resolved them.
✨Understand Data Quality Principles
Familiarise yourself with data quality principles and best practices. Be ready to discuss how you ensure data integrity and security in your work, as this is crucial for the role of an Azure Cloud Data Engineer.
✨Prepare for Collaborative Scenarios
Since the role involves collaborating with cross-functional teams, think of examples where you've worked effectively with others. Be ready to discuss how you contributed to team decisions and ensured successful project outcomes.
