Snowflake Data Engineer at EY

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Data Engineering, Data Modelling, SQL, Data Pipelines, Fivetran, dbt, Coalesce, PowerBI, Python, Java, Scala, Machine Learning, Data Visualization, Technical Leadership, Problem Solving, Communication

Industry

Professional Services

Description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Snowflake Data Engineer Nāu te rourou, nāku te rourou, ka ora ai te iwi   With your contribution and my contribution, together we will thrive.    Ko te rourou kei ō ringa I The choice is yours   We are seeking a highly skilled Senior Consultant to join our team as a Data Engineer. In this role, you will have the opportunity to work at the forefront of data engineering and integration, and model development, with a specific focus on designing and building cloud data and AI solutions using Snowflake and the eco-system of tools that are part of the wider solution architecture such as Fivetran, dbt and Coalesce. You will play a crucial role in designing the solution architecture, enabling data ingestion and transformation pipelines, designing data models and data products, and creating user-friendly interfaces that empower users to interact with complex data through data visualization tools and natural language interfaces. This position offers a unique chance to contribute to innovative projects while also providing mentorship and technical leadership to junior team members. In line with client requirements, this role is based in our Tāmaki Makaurau (Auckland) office. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options. Ko Tō Rourou | Your key responsibilities Snowflake AI Data Cloud solution architecture design. Data modelling and the design and build of data pipelines to ingest and transform data. Integration of theSnowflakeplatformwithother eco systemtoolsets such asFivetran,dbtandCoalesce. Designing and building scalable, robust dataingestion and transformationpipelines onSnowflake using tools such asSnowpipe,Fivetran,dbtandCoalesce. Collaborate with cross-functional teams to understand data needs and translate them into technical solutions. Provide technical leadership and mentorship to junior data engineers, fostering a culture of continuous learning and improvement. Stay updated with the latest industry trends and technologies to ensure the teamremainsat thecutting edgeof data engineering practices. Ngā Pūkenga | Skills and attributes for success Proven experience in: ImplementingSnowflakeAI Data Cloudplatforms. Data platform solution architecture designpatterns. Data modelling using a range of data modelling methodologies, including 3rdnormal for, Start Schema and Big wide tables. Data engineeringandbuildingscalable,robust data pipelines using tools such asdbt. Writing efficient SQL queries. Integrating Snowflake with data processing frameworks, particularlywith solutions such asFivetran,dbt, Coalesce andPowerBI. Ideally, you’ll also have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn. A working knowledge ofSnowflake HorizonCatalog. Integration ofSnowflake with Cortex tofacilitateseamless data ingestion processes. Design and train machine learning models on Cortex based on a defined set of business questions and requirements. Proficiencywithdevelopment languages suchPython, Java, and Scala. Proficiencyin building interactive user interfaces usingStreamlitor similar frameworks. Excellent problem-solving skills and the ability to think critically about data challenges. Strong communicationskills, with the ability to convey complex technical concepts to non-technical stakeholders. A proactive and collaborative mindset, with a passion forleveragingdata to drive business outcomes. Curiosity aboutdata and AI, and how thesecan be usedto deliver valuefor both society andorganisations. Experience in technical leadership or mentorship roles, guiding junior team members towards success. Kuhu mai ki a EY I Come, be a part of EY  At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.  Career development:At EY, your career is yours to shape! We’lldevelop you with future-focused skills and equip you with world-class experiences www.ey.com/nz/careerdevelopment  Flexible work arrangements:Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.   A comprehensive benefits package:From a yearly wellness incentive,to access toadditional8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionallywww.ey.com/nz/benefits         Diversity, equity, and inclusiveness (DE&I) are core to who we are, how we work and how we live our values. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting, so if you have questions before or during your application, we welcome you to get in touch at contactrecruitment@au.ey.com or +61 3 8650 7788 (option 2). Anything you tell us will be kept completely confidential.    He rourou kai kei ō ringa hei tākoha? Tēnā haria mai!     Are you ready to shape your future with confidence? Apply today #LI-Hybrid EY | Building a better working world Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider. © 2025 Ernst & Young New Zealand. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation.

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Responsibilities

The role involves designing and building cloud data and AI solutions using Snowflake and related tools, as well as creating user-friendly interfaces for data interaction. Additionally, the position includes providing mentorship and technical leadership to junior team members.