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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 rates, outside IR35.
- 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 with opportunities for professional growth.
The predicted salary is between 70000 - 105000 £ per year.
Rate: £350-600/day DOE (outside IR35)
Location: Remote
Contract Length: 6 months
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.
- 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 (, , United Kingdom)
✨Tip Number 1
Familiarise yourself with Azure's data services and tools. Since the role specifically requires Azure experience, having hands-on knowledge of services like Azure Data Factory, Azure Databricks, and Azure SQL will give you a significant edge.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have worked on Azure projects. Engaging in relevant online communities or attending meetups can help you gain insights and potentially get referrals.
✨Tip Number 3
Showcase your problem-solving skills by preparing for technical interviews. Be ready to discuss how you've optimised data pipelines or improved data storage solutions in previous roles, as this is crucial for the consultancy client.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering and cloud technologies. This knowledge will not only help you during interviews but also demonstrate your commitment to continuous learning in a rapidly evolving field.
We think you need these skills to ace Data Engineer (, , United Kingdom)
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 interested in this specific role and how your background aligns with the responsibilities listed. Mention any relevant projects you've worked on that demonstrate your expertise in Azure and data engineering.
Showcase Relevant Projects: If you have worked on specific projects involving Azure, data pipelines, or machine learning, include these in your application. Briefly describe your role and the impact of your work to illustrate your capabilities.
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, which is crucial for a technical role like this.
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.
