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For Companies At a Glance
- Tasks: Design and implement data pipelines, ensuring quality and security during migration.
- Company: Join a forward-thinking company transforming its data landscape in London.
- Benefits: Enjoy hybrid working, flexible hours, and opportunities for professional growth.
- Why this job: Be part of a dynamic team making a real impact on data management and governance.
- Qualifications: Experience with Azure, Databricks, Python, and Power BI is essential.
- Other info: This is a 6-month contract role with potential for extension.
The predicted salary is between 48000 - 72000 £ per year.
Data Engineer (Databricks Focus) London, hybrid working 6 months
What you'll be doing:
- As a Data Engineer, you'll be instrumental in the post-organisational change data landscape. Your key responsibilities will include:
- Designing and implementing robust data pipelines for efficient data collection, processing, and storage.
- Leading the migration of existing files and data to new systems.
- Ensuring data quality, integrity, and security throughout the migration process.
- Collaborating closely with stakeholders across the business to understand their data needs and translate them into technical solutions.
- Contributing to the development of best practices for data management and governance.
What you'll bring:
- Extensive experience as a Data Engineer, with a proven track record of delivering impactful data solutions.
- Deep and recent experience with Azure, Databricks, and Azure Data Factory. You've not just touched these technologies; you've used them extensively in recent projects.
- Strong proficiency in Python for data manipulation and automation.
- Hands-on experience with Azure DevOps for CI/CD and infrastructure as code.
- Solid understanding of Power BI for data visualisation and reporting.
- Familiarity with the Medallion architecture for data lake organisation.
Contact Detail:
Osmii Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (London Area)
✨Tip Number 1
Familiarise yourself with the Medallion architecture, as it's crucial for data lake organisation. Understanding how to structure data in this way will not only help you in interviews but also demonstrate your readiness to tackle the challenges of the role.
✨Tip Number 2
Brush up on your Azure and Databricks skills by working on personal projects or contributing to open-source initiatives. This hands-on experience will give you practical examples to discuss during interviews, showcasing your expertise and commitment to continuous learning.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who have experience with Azure and Databricks. Engaging in discussions on platforms like LinkedIn can provide insights into industry trends and may even lead to referrals for job openings.
✨Tip Number 4
Prepare to discuss your experience with CI/CD and infrastructure as code using Azure DevOps. Be ready to share specific examples of how you've implemented these practices in past projects, as this will highlight your technical proficiency and problem-solving abilities.
We think you need these skills to ace Data Engineer (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and Azure Data Factory. Include specific projects where you've designed data pipelines or led migrations, as this will directly relate to the job description.
Craft a Compelling Cover Letter: In your cover letter, emphasise your proficiency in Python and your hands-on experience with Azure DevOps. Mention how you can contribute to best practices for data management and governance, aligning your skills with the company's needs.
Showcase Relevant Projects: If possible, include a portfolio or examples of previous work that demonstrate your ability to implement data solutions. Highlight any experience with Power BI and the Medallion architecture, as these are key aspects of the role.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at Osmii
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure, Databricks, and Azure Data Factory in detail. Highlight specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Business Needs
Research the company and its data landscape before the interview. Be ready to explain how you can translate business requirements into technical solutions, showcasing your ability to collaborate with stakeholders.
✨Demonstrate Data Quality Awareness
Discuss your approach to ensuring data quality, integrity, and security during migrations. Providing examples of challenges you've faced and how you overcame them will show your problem-solving skills.
✨Familiarise Yourself with Best Practices
Be knowledgeable about best practices for data management and governance. You might be asked how you would contribute to developing these practices, so think of examples from your past experiences.
