Senior Data Engineer - Azure Databricks
Senior Data Engineer - Azure Databricks

Senior Data Engineer - Azure Databricks

London Full-Time 39600 - 66000 £ / year (est.) No home office possible
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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

Join a forward-thinking company in Southwest London that values innovation and inclusivity, especially for professionals over 50. With competitive daily rates and a flexible work schedule, you'll thrive in a collaborative environment that fosters growth and development. Benefit from opportunities to enhance your skills in Azure Databricks while contributing to impactful projects that drive the company's success.
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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

Extensive experience as a Data Engineer
Strong background in Azure
Proficiency in Databricks
Experience with Azure Data Factory
Good communication skills
Stakeholder management
Proficient in Python
Familiarity with Azure DevOps
Experience with Power BI
Knowledge of Medallion architecture
Agile delivery methodologies
Data migration expertise
Data processing and storage optimization

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.

Senior Data Engineer - Azure Databricks
Investigo
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  • Senior Data Engineer - Azure Databricks

    London
    Full-Time
    39600 - 66000 £ / year (est.)

    Application deadline: 2027-03-28

  • I

    Investigo

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