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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.
Data Engineer (London Area) employer: Osmii
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
Network with professionals who are currently working in data engineering roles, especially those using Azure and Databricks. Engaging in conversations can provide insights into the latest trends and expectations in the field, which can be beneficial during your application process.
✨Tip Number 3
Showcase your hands-on experience with Azure DevOps by discussing any relevant projects or contributions you've made. Being able to articulate your practical knowledge of CI/CD and infrastructure as code will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've ensured data quality and integrity in past projects. This will highlight your attention to detail and commitment to best practices in data management, which are key aspects of the role.
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 as a Data Engineer, particularly with Azure, Databricks, and Azure Data Factory. Use specific examples from your past projects to demonstrate your skills in designing data pipelines and ensuring data quality.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Engineer position and how your background aligns with the responsibilities outlined in the job description. Mention your hands-on experience with Python and Azure DevOps, and how you can contribute to best practices in data management.
Showcase Relevant Projects: If possible, include a portfolio or a section in your application that showcases relevant projects you've worked on. Highlight any work involving the Medallion architecture or data visualisation with Power BI, as this will demonstrate your practical knowledge.
Proofread Your Application: Before submitting your application, take the time to proofread it for any spelling or grammatical errors. A well-presented application reflects your attention to detail, which is crucial for a role focused on data integrity and quality.
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, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Data Pipeline Knowledge
Since designing and implementing data pipelines is a key responsibility, be ready to explain your approach to building robust data pipelines. Discuss any best practices you follow and how you ensure data quality and integrity during the process.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. For example, you might be asked how you would handle a data migration challenge or how you would collaborate with stakeholders to meet their data needs.
✨Familiarise Yourself with Medallion Architecture
Given the emphasis on the Medallion architecture, make sure you understand its principles and can discuss how it applies to data lake organisation. Be ready to share your thoughts on its advantages and any experiences you've had implementing it.
