Lead DataOps Engineer — Azure Big Data Platform
Lead DataOps Engineer — Azure Big Data Platform

Lead DataOps Engineer — Azure Big Data Platform

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the operational excellence of our Azure-based data platform and manage incidents effectively.
  • Company: A leading tech company in Greater London with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for career growth.
  • Why this job: Join a growing team and drive innovation in a cutting-edge data environment.
  • Qualifications: Experience with Azure Synapse, Databricks, and strong SLA enforcement skills.
  • Other info: Perfect for those passionate about DataOps and looking to make an impact.

The predicted salary is between 48000 - 72000 £ per year.

A leading tech company in Greater London is seeking a motivated Lead DataOps Engineer to ensure the resilience of their Azure-based data platform. The role focuses on operational leadership, incident management, and cost optimization.

Candidates should have experience with Azure Synapse, Databricks, and a strong focus on SLA enforcement. An excellent opportunity for those looking to drive innovation in a growing team, offering competitive salary and flexible working options.

Lead DataOps Engineer — Azure Big Data Platform employer: Hunter Bond

Join a leading tech company in Greater London that prioritises innovation and employee growth. With a strong focus on operational excellence, we offer competitive salaries, flexible working options, and a collaborative work culture that empowers our team members to drive impactful projects. This is an excellent opportunity for those looking to advance their careers in a dynamic environment while contributing to the resilience of our cutting-edge Azure-based data platform.
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Contact Detail:

Hunter Bond Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead DataOps Engineer — Azure Big Data Platform

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your work with Azure Synapse and Databricks. This gives potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on incident management scenarios. Think about how you've handled challenges in the past and be ready to discuss your approach to SLA enforcement.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!

We think you need these skills to ace Lead DataOps Engineer — Azure Big Data Platform

Azure Synapse
Databricks
Operational Leadership
Incident Management
Cost Optimisation
SLA Enforcement
Data Platform Resilience
Innovation Driving
Team Collaboration
Flexible Working

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Azure Synapse and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in DataOps!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about operational leadership and incident management. We love seeing candidates who can articulate their vision for driving innovation.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially around SLA enforcement and cost optimisation. We’re looking for someone who can think on their feet and lead a team effectively.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!

How to prepare for a job interview at Hunter Bond

Know Your Azure Inside Out

Make sure you brush up on your knowledge of Azure Synapse and Databricks. Be ready to discuss how you've used these tools in past projects, focusing on specific examples that highlight your operational leadership and incident management skills.

SLA Enforcement is Key

Prepare to talk about your experience with Service Level Agreements (SLAs). Think of instances where you successfully enforced SLAs and how you managed incidents when things didn’t go as planned. This will show your potential employer that you understand the importance of reliability in a data platform.

Cost Optimisation Strategies

Since the role involves cost optimisation, come equipped with ideas or strategies you've implemented in previous roles. Discuss how you’ve balanced performance with cost efficiency, and be ready to suggest ways to improve their current processes.

Show Your Leadership Skills

As a Lead DataOps Engineer, you'll need to demonstrate your leadership capabilities. Prepare examples of how you've led teams or projects, particularly in high-pressure situations. Highlight your ability to drive innovation and foster collaboration within a growing team.

Lead DataOps Engineer — Azure Big Data Platform
Hunter Bond

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