At a Glance
- Tasks: Design and build scalable data pipelines using Databricks and Azure Synapse.
- Company: Join a leading tech firm with a focus on innovation and collaboration.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a chance to lead solution design activities.
- Why this job: Make an impact by working on cutting-edge data solutions in a dynamic environment.
- Qualifications: Strong Python/PySpark skills and deep knowledge of Azure platform required.
The predicted salary is between 60000 - 80000 £ per year.
We are working with one of our largest customers who are looking for a talented and experienced Senior Data Platform Engineer.
Overall Objectives of the Job
We are seeking a skilled and experienced Senior Data / Platform Engineer to join our Data Analytics team. This hybrid role combines hands-on data engineering on Databricks and Azure Synapse with platform administration responsibilities across our cloud data estate. The role holder will design, build, and operate scalable data pipelines while also maintaining the underlying Azure platform — including infrastructure-as-code (Pulumi), CI/CD automation, monitoring, security, and Databricks workspace administration. The ideal candidate combines strong Python/PySpark engineering skills with deep Azure platform knowledge and a service-excellence mindset.
Duties and Responsibilities
- Lead solution design activities, collaborating with peers and mentoring junior colleagues to define and execute the team backlog.
- Develop, test, and document scalable ETL/ELT data pipelines and workflows using Databricks and Azure Synapse to ingest and transform data from a variety of sources.
- Administer and maintain Azure data platform components including Synapse, Databricks, ADLS Gen2, Key Vault, networking (VNets, NSGs, Managed Private Endpoints) and access control.
Senior Data Platform Engineer - HYBRID in Surrey employer: Proactive Appointments
Join a forward-thinking company that values innovation and collaboration, offering a hybrid work environment that promotes flexibility and work-life balance. With a strong focus on employee development, you will have access to continuous learning opportunities and the chance to mentor junior colleagues, fostering a culture of growth and excellence. Located in a vibrant area, our team enjoys a supportive atmosphere where your contributions are recognised and rewarded, making it an ideal place for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - HYBRID in Surrey
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Platform Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Azure Synapse. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and PySpark skills. Be ready to discuss your experience with scalable data pipelines and platform administration. Practice common interview questions and think about how your past experiences align with the job description.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Data Platform Engineer - HYBRID in Surrey
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, Azure Synapse, and Python/PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data engineering or platform administration. We love seeing candidates who can think critically and come up with innovative solutions!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Proactive Appointments
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Databricks and Azure Synapse. Brush up on your Python and PySpark skills, as you'll likely be asked to demonstrate your knowledge during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about examples where you designed scalable data pipelines or improved platform performance, as this will highlight your hands-on experience.
✨Understand Infrastructure as Code
Since the role involves infrastructure-as-code with Pulumi, be ready to explain your experience with it or similar tools. If you haven’t used Pulumi directly, research its principles and be prepared to discuss how you would apply them in a real-world scenario.
✨Emphasise Team Collaboration
This position requires leading solution design activities and mentoring junior colleagues. Be prepared to share examples of how you've collaborated with teams in the past and how you approach mentoring others, as this will show your service-excellence mindset.
