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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 role, outside IR35.
The predicted salary is between 100000 - 120000 £ per year.
A consultancy client of ours has 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 operates 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 and tools. Make sure you can confidently discuss your experience with Azure SQL, Databricks, and any other relevant technologies during the interview.
✨Tip Number 2
Prepare to showcase your problem-solving skills. Think of specific examples where you've optimised data pipelines or improved data storage solutions, as these will be key talking points in your discussions.
✨Tip Number 3
Network with professionals in the data engineering field, especially those with Azure expertise. Engaging with others can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Being knowledgeable about current developments can help you stand out as a candidate who is passionate and informed.
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 keywords from the job description, such as 'data pipelines', 'ETL processes', and 'cloud-based systems' to catch the employer's attention.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your background aligns with the role. Mention specific projects where you've designed or optimised data pipelines, especially in Azure.
Showcase Relevant Projects: If you have worked on any notable projects involving Azure, data processing frameworks, or machine learning, be sure to include these in your application. Highlight your contributions and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
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 or provide insights on how to troubleshoot existing cloud-based data infrastructure.
