
Data Engineer
- Auckland
- Permanent
- Full-time
- Love analytics, insights and AI? Get access to unlimited learning and development opportunities
- Join a collaborative and innovative team who are always looking to make an impact that matters
- Be challenged and engaged across a variety of projects, environments and people
- Analysing complex technical problems and technical constraints to help develop innovative cloud data, analytics and BI solutions that exceed client expectations.
- Lead and assist with facilitating technical workshops and requirement gathering workshops, applying your technical expertise to help translate pain points into actionable items.
- Collaborate across various Deloitte teams to assist with delivering project requirements, including leading on and offshore teams.
- Advising clients and technology leaders to understand how to gain insights, efficiencies and opportunities through implementing future proof data and analytics solutions.
- Introducing and establishing a Data Analytics Strategy or data framework;
- Maintain a high level of continuous learning in the latest tools, processes and methodology available in market.
- Apply and grow your specialist skills in areas of Data Engineering, Cloud Data Platforms, Business Intelligence (BI) and/or Analytics domain to help clients achieve successful technology and business transformation initiatives.
- Create and maintain documentation to a high standard.
- Supporting your Deloitte colleagues and leaders to make an impact that matters to your community and clients. Including contributing toward presales activities by presenting demo's etc.
- A background in professional services or technology vendor as a Technical Analyst, Consultant or Lead in a customer facing role will be beneficial.
- Strong Cloud data platform knowledge supported by good foundational skills in data management, data warehousing, analytics, Business Intelligence and data visualisation. Certifications will be beneficial.
- Exceptional data engineering skills using common data transformation language like Python and/or PySpark and supported by advanced SQL skills.
- Exposure to modern data tools such as dbt, Coalesce, Fivetran etc.
- Experience with common code management and deployment practices using DevOps and code management repositories like Git.
- Exceptional communication and stakeholder management skills
- Strong business analysis and functional design skills with the ability to translate business requirements into technical designs.
- Data analysis experience.
- A passion for all things cloud, strategy, data, insights, analytics and technical data solutions.
- AWS, GCP, Snowflake, Databricks or Azure certification or equivalent hands-on experience required.
- Knowledge in Infrastructure as Code and experience with Python CDK is highly preferred.
- Flexible work arrangements - work in a way that suits you, us and our clients best
- Subsidised professional qualifications and paid professional memberships
- Subsidised health insurance
- Income protection insurance
- 22 days annual leave
- Social events, social sports teams, and monthly firm drinks
- A focus on wellness and well-being
- Community focused volunteer days
- A focus on the environment and sustainability
- Plus much more