At a Glance
- Tasks: Lead data engineering projects using Databricks, Python, and SQL to drive impactful insights.
- Company: Aotearoa government agency dedicated to improving lives through data.
- Benefits: Fixed-term role until June 2027 with opportunities for professional growth.
- Why this job: Make a real difference in the community while advancing your data engineering skills.
- Qualifications: 5+ years of data engineering experience and expertise in Databricks, Python, and SQL.
- Other info: Collaborative environment with a focus on continuous learning and development.
The predicted salary is between 48000 - 72000 £ per year.
An Aotearoa government agency is seeking a Senior Analyst Developer - Data Engineer for a fixed-term position until June 2027. This role, based in Christchurch, requires a skilled individual with over 5 years of experience in data engineering and advanced knowledge of tools like Databricks, Python, and SQL.
The successful candidate will provide technical leadership while working collaboratively with diverse teams. A commitment to continuous learning and a passion for improving lives through data are essential.
Senior Data Engineer – Databricks & Data Warehousing in Canterbury employer: New Zealand Government
Contact Detail:
New Zealand Government Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer – Databricks & Data Warehousing in Canterbury
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Python, and SQL. We want to see what you can do, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience in detail. We suggest practising with a friend or using mock interview platforms to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you an edge. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer – Databricks & Data Warehousing in Canterbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Python, and SQL. 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 express your passion for data engineering and how you can contribute to improving lives through data. We love seeing genuine enthusiasm!
Showcase Your Leadership Skills: Since this role involves technical leadership, share examples of how you've led teams or projects in the past. We’re looking for someone who can inspire and guide others, so let us know how you’ve done that!
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 don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at New Zealand Government
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, Python, and SQL skills. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves providing technical leadership, think of examples where you've led a project or mentored others. Highlight how you foster collaboration within teams and drive results.
✨Emphasise Continuous Learning
This agency values a commitment to continuous learning. Be prepared to talk about any recent courses, certifications, or self-study you've undertaken to stay current in the data engineering field.
✨Connect Data to Real Lives
Demonstrate your passion for using data to improve lives. Share stories of how your work has positively impacted users or stakeholders, showing that you understand the bigger picture beyond just the technical aspects.