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- Tasks: Join us as a Data Engineer to migrate and manage data efficiently.
- Company: Work with a dynamic client in Southwest London focused on data solutions.
- Benefits: Enjoy a competitive daily rate and flexible 3-day work week.
- Why this job: Be part of an exciting data migration project with a collaborative team culture.
- Qualifications: Must have extensive experience with Azure, Databricks, and strong Python skills.
- Other info: Start ASAP and thrive in an Agile environment!
The predicted salary is between 39600 - 46800 £ per year.
Role: Data Engineer – Azure Databricks
Rate: £550 – 600 per day
Location: Southwest London – 3 Days Per week
Start: ASAP
We are supporting a client as they look for a Data Engineer with strong Databricks experience. They are looking to migrate files and data following a few changes in the company and want to ensure data is collected, processed, and stored effectively and efficiently.
You\’ll need:
- Extensive experience as a Data Engineer
- Extensive Azure, Databricks, Data Factory background and using extensively recently.
- Good communication skills / stakeholder management
- Python, Azure DevOps, Power BI, Medalion all must have.
- Experience with Agile delivery methodologies is helpful!
Please apply if this sounds like it could be you.
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Senior Data Engineer - Azure Databricks employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Azure Databricks
✨Tip Number 1
Make sure to highlight your extensive experience with Azure and Databricks in your conversations. Be ready to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Brush up on your communication skills! Since stakeholder management is crucial for this role, practice explaining complex data engineering concepts in simple terms. This will help you connect better with non-technical stakeholders during interviews.
✨Tip Number 3
Familiarize yourself with Agile delivery methodologies if you haven't already. Being able to discuss how you've applied Agile principles in past projects can set you apart from other candidates and show that you're adaptable.
✨Tip Number 4
Prepare to discuss your experience with Python, Azure DevOps, and Power BI. Think of examples where you've used these tools to solve problems or improve processes, as this will showcase your technical versatility and problem-solving skills.
We think you need these skills to ace Senior Data Engineer - Azure Databricks
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your extensive experience as a Data Engineer, particularly with Azure and Databricks. Use specific examples from your past work that demonstrate your skills in data migration and processing.
Showcase Technical Skills: Clearly list your technical skills related to Python, Azure DevOps, Power BI, and Medalion. Mention any recent projects where you utilized these technologies to show your hands-on experience.
Communicate Effectively: Since good communication skills are essential for this role, include examples of how you've successfully managed stakeholders or collaborated with teams in previous positions.
Mention Agile Methodologies: If you have experience with Agile delivery methodologies, be sure to mention it. Describe how you've applied Agile principles in your work to enhance project outcomes.
How to prepare for a job interview at Investigo
✨Showcase Your Databricks Expertise
Be prepared to discuss your hands-on experience with Azure Databricks. Highlight specific projects where you've utilized Databricks for data migration, processing, and storage. This will demonstrate your capability to handle the tasks required in the role.
✨Communicate Clearly
Since good communication skills are essential, practice explaining complex technical concepts in simple terms. Be ready to discuss how you've managed stakeholder expectations in previous roles, as this will show your ability to work collaboratively.
✨Demonstrate Your Technical Skills
Brush up on your Python, Azure DevOps, and Power BI skills. Be ready to answer technical questions or even solve problems on the spot. Consider preparing a small project or example that showcases your proficiency in these areas.
✨Familiarize Yourself with Agile Methodologies
If you have experience with Agile delivery methodologies, be sure to mention it. Discuss how you've applied Agile principles in your past work, as this will align with the company's approach and show that you're adaptable to their processes.
