Data Engineer

Overview

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.

With your contribution and my contribution, together we will thrive.

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 integration and model development, specifically focusing on integrating Snowflake with Cortex.

You will play a crucial role in enabling data ingestion, designing and training models, and creating user-friendly interfaces that empower users to interact with complex data through natural language queries.

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 either

Auckland, Wellington or Christchurch

office.

Our roles can potentially be adjusted to work flexibly with reduced hours.

Please speak with us about potential options.

Responsibilities

Data modelling and the design and build of data pipelines to ingest and transform data.

Integrate Snowflake with Cortex to facilitate seamless data ingestion processes.

Design and train machine learning models on Cortex based on a defined set of business questions and requirements.

Develop and implement user interfaces using tools like Streamlit that allow users to interact with models using natural language queries.

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 team remains at the cutting edge of data engineering practices.

Data modelling using a range of data modelling methodologies, including 3rd normal form, Star Schema and Big wide tables.

Data engineering and building scalable, robust data pipelines using tools such as DBT.

Integrating Snowflake with data processing frameworks, particularly Cortex.

Qualifications

An understanding of machine learning concepts and experience in designing and training models.

Proficiency in building interactive user interfaces using Streamlit or similar frameworks.

Excellent problem-solving skills and the ability to think critically about data challenges.

Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Demonstrated experience in technical leadership or mentorship roles, guiding junior team members towards success.

A proactive and collaborative mindset, with a passion for leveraging data to drive business outcomes.

Benefits and Inclusive Culture

Career development :

At EY, your career is yours to shape!

We'll develop you with future-focused skills and equip you with world-class experiences.

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 to additional 8 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 professionally.

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

• or +61 3 8650 7788 (option 2).

Anything you tell us will be kept completely confidential.

Are you ready to shape your future with confidence?

Apply today

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EY

Building a better working world

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.

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