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- Tasks: Design and maintain scalable data pipelines on Azure for impactful projects.
- Company: Join a consultancy working with a leading European bank on innovative data solutions.
- Benefits: Enjoy remote work flexibility and competitive pay ranging from £350-600/day.
- Why this job: Work on cutting-edge technology and collaborate with talented teams in a dynamic environment.
- Qualifications: Experience in Azure, SQL, Python, and data processing frameworks is essential.
- Other info: This is a 6-month contract outside IR35, perfect for those seeking impactful work.
The predicted salary is between 100000 - 120000 £ per year.
A consultancy client of ours have secured a project with a leading European bank. They are seeking an Azure focused Data Engineer to work with them on a contract basis. This is an exciting opportunity to work on cutting-edge data projects, building scalable data pipelines and cloud-based systems that deliver real impact. The end client operate in Azure hence Microsoft Azure experience is required for consideration.
Key Responsibilities:
- Design, develop, and maintain scalable and high-performance data pipelines on Azure.
- Optimise data storage and retrieval processes to enhance performance and reduce costs.
- Collaborate with data scientists, analysts, and product teams to deliver data-driven solutions that support business objectives.
- Work with both structured and unstructured data to assist with business intelligence, analytics, and machine learning initiatives.
- Ensure data security, governance, and compliance within the cloud environment.
- Troubleshoot and optimise existing cloud-based data infrastructure to improve efficiency and cost-effectiveness.
Experience and Qualifications Required:
- Proven experience as a Data Engineer, Cloud Engineer, or in a similar role with hands-on expertise in Azure.
- Solid experience with data processing frameworks (Databricks/Azure SQL).
- Proficiency in SQL, Python, or other programming languages.
- Strong understanding of ETL processes, data modelling, and optimisation techniques.
- A collaborative mindset and the ability to work with cross-functional teams in a fast-paced environment.
Contact Detail:
X4 Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Azure's data services, such as Azure Data Factory and Azure Databricks. Being able to discuss specific projects or experiences where you've used these tools will show your expertise and make you stand out.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience working with Azure. Engaging in relevant online communities or attending meetups can provide valuable insights and connections that may lead to job opportunities.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data modelling in detail. Be ready to share examples of how you've optimised data pipelines or improved data retrieval processes in previous roles, as this is crucial for the position.
✨Tip Number 4
Stay updated on the latest trends and technologies in data engineering and cloud computing. Being knowledgeable about emerging tools and best practices will demonstrate your commitment to the field and your ability to contribute effectively to the team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and relevant data engineering skills. Use specific examples of projects where you've designed and maintained data pipelines, optimised data storage, or collaborated with teams.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to work on cutting-edge data projects. Mention your hands-on expertise in Azure and how it aligns with the company's needs.
Showcase Relevant Projects: If you have worked on similar projects, include them in your application. Describe your role, the technologies used (like Databricks or Azure SQL), and the impact of your work on business objectives.
Highlight Collaboration Skills: Since the role requires working with cross-functional teams, emphasise your collaborative mindset. Provide examples of how you've successfully worked with data scientists, analysts, or product teams in previous roles.
How to prepare for a job interview at X4 Technology
✨Showcase Your Azure Expertise
Make sure to highlight your hands-on experience with Microsoft Azure during the interview. Be prepared to discuss specific projects where you've designed and developed data pipelines, as this will demonstrate your capability to meet the client's needs.
✨Discuss Data Processing Frameworks
Familiarise yourself with data processing frameworks like Databricks and Azure SQL. Be ready to explain how you've used these tools in past roles to optimise data storage and retrieval processes, as this is crucial for the position.
✨Emphasise Collaboration Skills
Since the role involves working with cross-functional teams, share examples of how you've successfully collaborated with data scientists, analysts, and product teams. This will show that you can thrive in a fast-paced environment and contribute to data-driven solutions.
✨Prepare for Technical Questions
Expect technical questions related to ETL processes, data modelling, and optimisation techniques. Brush up on your SQL and Python skills, and be ready to solve problems on the spot, as this will demonstrate your technical proficiency.
