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- Tasks: Design and maintain scalable data pipelines on Azure while collaborating with teams.
- Company: Join a Microsoft-partnered consultancy working on innovative data projects.
- Benefits: Enjoy remote work flexibility and competitive pay based on experience.
- Why this job: Work on cutting-edge technology that makes a real impact in the data world.
- Qualifications: Experience with Azure, Snowflake, Informatica, and strong SQL or Python skills required.
- Other info: This is a 6-month contract role, perfect for those looking to enhance their skills.
The predicted salary is between 36000 - 60000 £ per year.
A Microsoft-partnered consultancy client of ours have recently secured a project with one of their key clients. 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.
Experience with: Snowflake, Informatica, and Azure is a must.
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.
- Snowflake experience.
- Strong capability in Informatica.
- 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 and tools. Since this role specifically requires Azure expertise, having hands-on experience with Azure Data Factory, Azure SQL Database, and Azure Databricks will give you a significant edge.
✨Tip Number 2
Showcase your experience with Snowflake and Informatica in your discussions. Be prepared to discuss specific projects where you've used these technologies to solve real-world problems, as this will demonstrate your practical knowledge.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who work with Azure. Engaging in relevant online communities or attending webinars can help you gain insights and potentially get referrals for the position.
✨Tip Number 4
Prepare to discuss your approach to optimising data pipelines and ensuring data security. Having concrete examples of how you've improved performance or reduced costs in previous roles will make you stand out 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, Snowflake, and Informatica. Use specific examples of projects where you've designed and maintained data pipelines, as this will show your suitability for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Mention how your skills align with the key responsibilities listed in the job description, particularly your experience with cloud-based systems and data optimisation.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a brief section in your application that outlines these experiences. Highlight any specific achievements or outcomes that demonstrate your ability to deliver data-driven solutions.
Proofread Your Application: Before submitting your application, take the time to proofread it 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 Technical Skills
Make sure to highlight your experience with Azure, Snowflake, and Informatica during the interview. Be prepared to discuss specific projects where you designed and maintained data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer contributes to business objectives. Discuss how you've collaborated with data scientists and analysts to deliver data-driven solutions that have made a real impact in previous roles.
✨Prepare for Problem-Solving Questions
Expect questions that assess your troubleshooting skills and ability to optimise cloud-based data infrastructure. Think of examples where you improved efficiency or reduced costs in your past projects, as these will showcase your problem-solving abilities.
✨Demonstrate Collaboration Skills
Since the role requires working with cross-functional teams, be prepared to share experiences where you successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in a fast-paced environment.
