At a Glance
- Tasks: Join us as a Senior Data Engineer to manage data migration and processing.
- Company: We're the UK's top jobs board for over-50s, promoting inclusivity.
- Benefits: Competitive daily rate and flexible work schedule in Southwest London.
- Why this job: Be part of a dynamic team driving impactful data solutions with cutting-edge technology.
- Qualifications: Must have extensive experience with Azure, Databricks, and strong Python skills.
- Other info: Work 3 days a week and start ASAP!
The predicted salary is between 39600 - 66000 £ per year.
This job is brought to you by Jobs/Redefined, the UK\’s leading over-50s age inclusive jobs board.
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 hands-on experience with Azure Databricks in your conversations. Be ready to discuss specific projects where you've utilized Databricks for data processing and migration.
✨Tip Number 2
Brush up on your Python skills, as it's a must-have for this role. Prepare to share examples of how you've used Python in data engineering tasks, especially in conjunction with Azure services.
✨Tip Number 3
Familiarize yourself with Agile methodologies if you haven't already. Being able to speak about your experience in Agile environments will show that you can adapt to the team's workflow.
✨Tip Number 4
Since stakeholder management is key, think of instances where you've effectively communicated with non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business needs.
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 the job description, such as Python, Azure DevOps, Power BI, and Medalion. Provide context on how you've used these tools in previous projects.
Communicate Effectively: Since good communication skills and stakeholder management are essential for this role, include examples of how you've successfully communicated complex data concepts to non-technical stakeholders in your application.
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 previous roles to enhance project delivery and team collaboration.
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 processing and migration, as this will demonstrate your capability to handle the tasks required in the role.
✨Communicate Clearly
Good communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you may need to interact with stakeholders who aren't as technically savvy.
✨Demonstrate Agile Methodology Knowledge
Since experience with Agile delivery methodologies is beneficial, be ready to discuss how you've applied Agile principles in your previous roles. Share examples of how Agile has improved project outcomes in your experience.
✨Prepare for Technical Questions
Expect technical questions related to Python, Azure DevOps, and Power BI. Brush up on these technologies and be ready to solve problems or answer scenario-based questions that showcase your technical skills.