At a Glance
- Tasks: Design and operate cloud-native data platforms using Databricks on AWS.
- Company: Join Cadent Gas Ltd, a leader in critical national infrastructure.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic role with a focus on automation, security, and governance.
- Why this job: Make a real impact by supporting analytics across a vital organisation.
- Qualifications: 4+ years of Databricks experience and strong platform engineering skills.
The predicted salary is between 60000 - 80000 € per year.
Design, operate and evolve cloud-native data platforms at Cadent. As a Data Platform Specialist at Cadent, you’ll play a key role in designing, developing and operating our cloud-native data platforms, with a strong focus on Databricks on AWS. This role enables regulatory reporting, operational insight and advanced analytics across a critical national infrastructure organisation.
This is a hands-on engineering-led role where you’ll take ownership of the Databricks platform, driving automation, scalability, security and reliability to support data engineering and data science use cases.
Why you'll love this role:
- Enterprise Impact: Build and run data platforms that underpin analytics and insight across Cadent.
- Modern Cloud & Data Stack: Work hands-on with Databricks on AWS, Delta Lake and medallion architecture.
- Platform Ownership: Deploy, configure and operate Databricks workspaces, clusters, jobs and pipelines.
- Automation & DevOps: Design and manage CI/CD pipelines and automated platform processes.
- Security & Governance at Scale: Implement data governance, lineage, quality and security guardrails.
What you'll bring:
- Databricks Expertise: Strong hands-on experience operating Databricks platforms on AWS.
- Platform Engineering: Experience with CI/CD, automation and cloud-native engineering practices.
- Data Integration: Knowledge of ETL/ELT patterns, data quality frameworks and governance controls.
- Experience: Degree-level education or equivalent experience, with 4+ years’ Databricks platform experience. Informatica experience is advantageous.
Data Platform Engineering Specialist (Databricks) in Ansty employer: Cadent
At Cadent Gas Ltd, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Platform Engineering Specialist, you'll have the opportunity to work with cutting-edge technology in a supportive environment that prioritises employee growth and development. With a focus on impactful projects within a critical national infrastructure organisation, you will enjoy a meaningful career while benefiting from our commitment to automation, security, and operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineering Specialist (Databricks) in Ansty
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Databricks or at Cadent. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got hands-on experience with Databricks, create a portfolio or GitHub repo showcasing your projects. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by diving deep into the specifics of cloud-native data platforms. Brush up on your knowledge of CI/CD pipelines and automation practices, as these are key to impressing at Cadent.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Cadent.
We think you need these skills to ace Data Platform Engineering Specialist (Databricks) in Ansty
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data platforms and how you can contribute to Cadent’s mission. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with CI/CD, automation, and cloud-native practices. We’re looking for someone who can hit the ground running, so let us know what tools and technologies you’re comfortable with.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Cadent
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your hands-on experience with Databricks on AWS, including any specific projects you've worked on. This will show that you’re not just familiar with the platform but can also leverage it effectively in real-world scenarios.
✨Showcase Your Automation Skills
Since this role involves a lot of automation and CI/CD processes, be prepared to talk about your experience in these areas. Bring examples of how you've designed or managed automated processes in previous roles. This will demonstrate your ability to drive efficiency and reliability in data platforms.
✨Understand Data Governance and Quality
Familiarise yourself with data governance, lineage, and quality frameworks. Be ready to discuss how you’ve implemented these in past projects. This is crucial for the role, so showing that you understand the importance of security and governance will set you apart from other candidates.
✨Prepare Questions About the Role
Interviews are a two-way street, so come prepared with insightful questions about the team, the projects, and the company culture at Cadent. This shows your genuine interest in the role and helps you assess if it's the right fit for you as well.
