Alexander James
Senior Data Engineer
- Posted Today
- On Site
- Full Time
Location
Auckland
Job Description
Our Client:
Our client is a leading consultancy that supports organisations nationwide on Data Insights and Analytics projects, leveraging cutting-edge technologies. This company takes pride in delivering value and offering innovative alternatives.
They are seeking an experienced Senior Data Engineer to design and implement cloud-based data and analytics solutions for their clients. This role blends strategic leadership and hands-on work, partnering with clients and internal teams to deliver data architectures for business intelligence, analytics, and machine learning.
Key Responsibilities:
- Develop secure, scalable data lakes, warehouses, and analytics platforms aligned with industry standards and client needs.
- Create logical and physical models to meet evolving business requirements with high-performance, scalable designs.
- Review existing architectures and recommend improvements in tech stack, data governance, security, and best practices.
- Lead the design and implementation of secure, compliant cloud-based data platforms.
- Continuously evaluate and suggest emerging tools and frameworks in cloud data..
- Required Skills:
- Proven Data Engineering experience with a focus on cloud platforms.
- Strong knowledge of data modeling, ETL/ELT processes, and SQL;
- Practical experience with cloud tools like Snowflake; familiarity with machine learning and AI integration.
- Understanding of data governance, security, and regulatory compliance in cloud environments.
- Excellent analytical, problem-solving, communication, and client management skills, with the ability to manage multiple projects and adapt to changing priorities.
How to Apply:
If you are passionate about building modern data architectures and delivering innovative, results-driven solutions, please apply online!
Please note - we are only considering candidates with a short notice period and with full NZ working rights.
Hard Skills Required
- SQL & Data Governance
- Data Modeling & ETL/ELT Processes
- Cloud Data Engineering (AWS, Azure, Snowflake, or GCP)
Soft Skills Required
- Analytical Thinking
- Problem-Solving
- Client Management
- Communication
- Adaptability
Job Schedule
- Shift Work