Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines on Azure for a leading European bank.
- Company: Join a consultancy working on innovative projects with top-tier clients in the finance sector.
- Benefits: Enjoy remote work flexibility and competitive pay ranging from £350-600/day.
- Why this job: Work on cutting-edge data projects that make a real impact in the banking industry.
- Qualifications: Experience in Azure, SQL, Python, and data processing frameworks is essential.
- Other info: This is a 6-month contract role, perfect for those looking to enhance their skills.
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.
Data Engineer employer: X4 Technology
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 features you've worked on 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 with Azure. Join relevant online communities or forums where you can ask questions and share insights, which could lead to valuable connections.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data modelling in detail. Be ready to provide examples of how you've optimised data pipelines or improved performance in previous roles.
✨Tip Number 4
Stay updated on the latest trends and technologies in data engineering and cloud computing. Being knowledgeable about new tools or methodologies can give you an edge during discussions with potential employers.
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: Write a cover letter that specifically addresses the consultancy client’s needs. Mention your hands-on expertise in Azure and how your previous projects align with their requirements. Show enthusiasm for working on cutting-edge data projects.
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. This will demonstrate your capability to deliver data-driven solutions.
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 Data Engineer role.
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.
✨Demonstrate Your Technical Skills
Brush up on your SQL and Python skills, as well as your knowledge of data processing frameworks like Databricks and Azure SQL. You might be asked to solve technical problems or explain your approach to data modelling and ETL processes.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with data scientists, analysts, and product teams in the past. This will show that you can thrive in a fast-paced environment.
✨Prepare for Data Security Questions
Given the importance of data security and compliance in cloud environments, expect questions related to these topics. Familiarise yourself with best practices for ensuring data governance and be ready to discuss how you've implemented these in previous roles.
