Data Engineer - Informatica

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.

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  

The Senior Consultant / Data Engineer role in EY AI and Data business is pivotal in designing, building and managing data-driven pipelines and data platform operations. With the increasing reliance on cloud-based solutions, EY has a specific need for in-depth experience and skills using Informatica Cloud Solutions. This role demands a blend of technical expertise, analytical prowess, and strong communication abilities to effectively design and build robust, scalable data pipelines leveraging the Informatica platform.

Here are the three most important aspects of the role

• Data Management and Engineering: Senior Consultants/Data Engineers are responsible for designing, building, and maintaining data pipelines and architectures. This involves working with large datasets, ensuring data quality, and implementing data governance practices to support analytics and business intelligence initiatives.
• Analytical Skills and Problem Solving: This role requires strong analytical skills to interpret complex data and provide actionable insights. Senior Consultants/Data Engineers must be adept at using various data analysis tools and data modelling techniques to solve business problems and support decision-making processes.
• Teaming, Collaboration and Communication: Effective teaming, communication and collaboration with cross-functional teams, including data scientists, business analysts, EY leadership and client stakeholders will be crucial. Senior Consultants/Data Engineers must be able to convey technical concepts to non-technical audiences and work collaboratively to achieve project goals.

This role can be performed from any of our EY offices across Aotearoa. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options

He Rourou Pūmanawa I What we look for 

To be successful in this role you will need to have significant experience within the following areas:

• Solid experience in data engineering, with a strong background in data architecture, data modelling, and data management, building and scaling robust data systems for complex business domains.
• Define, implement and manage the data platform architecture to align with organisational goals and industry best practices within a Managed Service.
• Architect scalable Data pipelines and solutions for Informatica, including cloud-native and hybrid environments.
• Consult on complex, multi-disciplinary projects, acting as a subject matter expert (SME) to solve complex client issues related to Informatica
• Provide technical advice and guidance to clients on how to best utilize Informatica and related data platform technologies to achieve their organisational objectives.
• Expertise in Python, with a deep understanding and hands-on experience in Informatica for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect.
• Experience with Snowflake and data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks.

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.

• Experience and working knowledge of streaming platforms, typically based around Kafka.

• A good understanding of Azure, Google Cloud and AWS data platform services and their strengths/weaknesses.
• Hands on experience in implementing data pipelines for data ingestion and transformation to support analytics and ML pipelines

• Strong experience communicating asynchronously using collaboration tools like ADO, Jira, Slack, etc.
• Experience using automation and CI/CD tooling like Git, GitHub,Docker,Jenkins, Terraform, etc.
• Experience developing standards for database design and implementation of various strategic data architecture initiatives around data quality, data management policies/standards, data governance, privacy and metadata management
• Working experience integrating with BI frameworks like Power BI, Qlik, ThoughtSpot, Looker, Tableau, etc.

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’ll develop 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 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 www.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

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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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