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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: Be part of cutting-edge data projects that drive real business impact and innovation.
- Qualifications: Experience in Azure, SQL, Python, and data processing frameworks is essential.
- Other info: This is a 6-month contract role, ideal for tech-savvy individuals eager to make a difference.
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.
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, especially Databricks and Azure SQL. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your capability to potential employers.
✨Tip Number 2
Engage in online communities or forums related to Azure and data engineering. Networking with professionals in the field can provide insights into current trends and may even lead to job referrals.
✨Tip Number 3
Consider working on personal projects that involve building data pipelines using Azure. Showcasing these projects in your portfolio can set you apart from other candidates and highlight your practical skills.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios, particularly those involving ETL processes and data optimisation techniques. This will help you articulate your thought process during interviews.
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, 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 knowledge of SQL, Python, and data processing frameworks like Databricks or Azure SQL. Expect technical questions that assess your proficiency in these areas, so be ready to provide examples of how you've used them in past roles.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be sure to share experiences where you've successfully collaborated with data scientists, analysts, or product teams. This will show that you can thrive in a team-oriented environment.
✨Prepare for Problem-Solving Questions
Anticipate questions that focus on troubleshooting and optimising cloud-based data infrastructure. Think of specific challenges you've faced and how you resolved them, as this will illustrate your problem-solving skills and ability to improve efficiency.
