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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 the chance to work on cutting-edge technology.
- Why this job: Make a real impact with data solutions in a dynamic, collaborative environment.
- Qualifications: Experience with Azure, Snowflake, Informatica, and strong SQL or Python skills required.
- Other info: This is a 6-month contract role, outside IR35.
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 the 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
Network with professionals in the data engineering field, especially those who work with Azure. Join relevant online forums or LinkedIn groups to connect with others and gain insights into the latest trends and best practices.
✨Tip Number 3
Showcase your experience with Snowflake and Informatica through practical examples. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to potential employers.
✨Tip Number 4
Prepare for technical interviews by brushing up on your SQL and Python skills. Practising common data engineering problems and scenarios can help you articulate your thought process and problem-solving abilities during the interview.
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 to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the 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, include them in your application. Describe your role, the technologies used, and the impact of your work on the business objectives. This will help illustrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your collaborative mindset. Provide examples of how you've successfully worked with data scientists, analysts, or product teams in previous roles.
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've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand Data Pipelines
Since the role focuses on building scalable data pipelines, be ready to explain your approach to designing and optimising these systems. Discuss any challenges you've faced and how you overcame them, as this shows your problem-solving skills.
✨Collaboration is Key
Emphasise your ability to work with cross-functional teams. Share examples of how you've collaborated with data scientists, analysts, or product teams to deliver data-driven solutions, as this aligns with the job's responsibilities.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your understanding of ETL processes and data governance. Practise articulating your thought process in troubleshooting and optimising cloud-based data infrastructure, as this will showcase your analytical skills.
