Gentrack

Software solutions for utilities and airports

Senior Data Engineer

Data EngineeringUpdated on Nov 13

Full-timeAuckland, New ZealandNZ$120 - NZ$148 /yrHybrid

About the Job

Requirements

At least 8 years of data engineering experience, including at least 3 years in a senior or lead capacity.
Experience owning and evolving data engineering processes, tools, and platform standards to support AI and advanced analytics.
Hands-on experience with Snowflake Cortex AI for natural-language data querying, summarisation, and advanced analysis.
Hands-on experience with Talend, AWS Data Migration Services, SnowSQL, Snowpipe, and Snowpark.
Ability to lead stakeholder conversations to define data strategies and deliverables.
Experience converting business intelligence solutions into AI-powered insights and self-service analytics tools.
Strong track record of mentoring and coaching engineers in data engineering.
Expertise in Snowflake, advanced ANSI SQL, and data-driven transformation methods.
Proficiency in Python and JavaScript for automation tasks.
Experience managing Git/Bitbucket codebases, branching strategies, and release pipelines.
Strong understanding of governance, compliance, data privacy, and secure data deployment.
Bachelor’s degree in Computer Science, Data Management, or equivalent.
Ability to solve problems creatively.

Responsibilities

Enhance, optimize, and maintain the scalable, high-performance Data & Analytics platform.
Contribute to the data engineering platform, tools, and processes to keep them scalable, secure, and AI-ready.
Design, build, and optimize Snowflake architecture, integrating Snowflake Cortex AI for advanced analytics and natural-language querying.
Oversee code management, CI/CD data engineering frameworks, and release strategies in Bitbucket/Git to enable smooth deployments and consistent environments across regions and countries while safeguarding the global core model.
Lead technical discussions with stakeholders to define AI use cases, set priorities, and align delivery plans with business outcomes.
Mentor and coach engineers on integration techniques, modern data engineering practices, and solution design.
Develop and manage ETL/ELT processes for data model construction using SQL, Python, JavaScript, Matillion, and AI-enabled transformation frameworks.
Configure and administer AWS services, including S3, IAM, and Bedrock, for data storage, integration, and security.
Implement and maintain disaster recovery plans, backup strategies, and high-availability configurations.
Use Qlik Replicate for large-scale, high-volume data ingestion and replication.
Ensure solutions meet compliance, privacy, and role-based access control requirements, including encryption at rest and in transit.
Maintain detailed documentation and promote knowledge sharing across data engineering practices.
Support initiatives run by the GSTF and demonstrate environmental and social responsibility in line with company values.
Identify and propose local sustainable practices and ideas in accordance with the Sustainability Charter.
Use the sustainability app by participating in challenges and improving sustainable behaviors.

Desired Qualifications

Knowledge of the utilities or energy sector.
Experience working in data consulting or professional services environments.
Design and implement AI-driven data workflows using AWS Bedrock and other AI services to automate insights and predictions.
Migrate and evolve business intelligence solutions into AI-enhanced dashboards, chat interfaces, and automated reporting tools.

The Company

We are entering a new era, with utilities worldwide transforming to meet business and sustainability targets. For over 35 years Gentrack has been partnering with the world’s leading utilities, and more than 60 energy and water companies rely on us. Gentrack, with our partners Salesforce and AWS, are leading today’s transformation with g2.0, an end-to-end product-to-profit solution.

Our Values and Culture

Colleagues at Gentrack are one big team, working together to drive efficiency in two of the planet’s most precious resources, energy, and water. We are passionate people who want to drive change through technology and believe in making a difference. Our values drive decisions and how we interact and communicate with customers, partners, shareholders, and each other. Our core values are:

Ø Respect for the planet

Ø Respect for our customers and

Ø Respect for each other

Gentrackers are a group of smart thinkers and dedicated doers. We are a diverse team who love our work and the people we work with and who collaborate and inspire each other to deliver creative solutions that make our customers successful. We are a team that shares knowledge, asks questions, raises the bar, and are expert advisers. At Gentrack we care about doing honest business that is good for not just customers but families, communities, and ultimately the planet. Gentrackers continuously look for a better way and drive quality into everything they do.

The Opportunity

As a Data Engineer - Senior, you will be expected to take the leading role in enhancing, optimizing, and maintaining our existing, scalable, high-performance Data & Analytics platform. You will leverage your technical expertise, including AI & Cloud platforms to design, build, and deliver solutions across multiple customers, ensuring they are secure, reliable, and aligned with diverse business requirements.

In this senior role, you will work on complex, high-impact projects, lead the delivery of robust integration and transformation processes, and mentor others in engineering best practices. You will help drive the transition from traditional BI solutions to AI-powered insights, leveraging AI models and services to automate analytics, enhance predictions, and improve decision-making.

Operating in the Data & Analytics space, you will contribute to mission-critical solutions for large-scale clients across the APAC region, aligning with our commitment to delivering and supporting cutting-edge technology.

In addition to this you will;

Support initiatives run by the GSTF and demonstrate our company values by providing a clear commitment to environmental and social responsibility.
Contribute through identifying/proposing local sustainable practices and ideas in accordance with our Sustainability Charter.
Utilise our sustainability app by taking part in challenges and improving behaviors to be more sustainable.

The Specifics

Actively contribute to the data engineering platform, tools, and processes, ensuring they remain scalable, secure, and AI-ready.
Lead the design, build, and optimisation of Snowflake architecture, integrating Snowflake Cortex AI for advanced analytics and natural language querying.
Oversee code management CI/CD data engineering frameworks and release strategies in Bitbucket/Git, ensuring smooth deployments and environment consistency across regions and countries while safeguarding the global core model.
Lead technical conversations with stakeholders to define AI use cases, set priorities, and align delivery plans with business outcomes.
Mentor and coach engineers on integration techniques, modern data engineering practices, and solution design.
Develop and manage robust ETL/ELT processes for data model construction using SQL, Python, JavaScript, Matillion, and AI-enabled transformation frameworks.
Configure and administer AWS services (S3, IAM, Bedrock) for data storage, integration, and security.
Implement and maintain disaster recovery plans, backup strategies, and high-availability configurations.
Leverage tools like Qlik Replicate for large-scale, high-volume data ingestion and replication.
Ensure all solutions meet compliance, privacy, and RBAC requirements, including encryption at rest and in transit.
Maintain detailed documentation and foster knowledge sharing across data engineering practices.
Advantage - Design and implement AI-driven data workflows using AWS Bedrock and other AI services to automate insights and predictions.
Advantage - Migrate and evolve BI solutions into AI-enhanced dashboards, chat interfaces, and automated reporting tools.

What we're looking for (you don’t need to be a guru at all, we’re looking forward to coaching and collaborating with you):

8+ years of Data Engineering experience, with at least 3 years in a senior or lead capacity.
Proven experience owning and evolving data engineering processes, tools, and platform standards to support AI and advanced analytics.
Hands-on experience with Snowflake Cortex AI for natural language data querying, summarisation, and advanced analysis.
Hands-on experience with Talend, AWS Data Migration Services, SnowSQL, Snowpipe, Snowpark
Utilities/Energy sector knowledge advantageous
Experience working in Data Consulting or professional services environments is an advantage
Ability to lead conversations with stakeholders to define data strategies and deliverables.
Experience converting BI solutions into AI-powered insights and self-service analytics tools.
Strong track record of mentoring and coaching engineers in data engineering.
Expertise in Snowflake, advanced ANSI SQL, and data-driven data transformation methods.
Proficiency in Python and JavaScript for automation tasks.
Experience managing Git/Bitbucket codebases, branching strategies, and release pipelines.
Strong understanding of governance, compliance, data privacy, and secure data deployment.
Bachelor’s degree in computer science, Data Management, or equivalent.
Can-do attitude with a focus on delivering excellence.
Optimistic outlook with common sense and a sense of humour.
High levels of energy, sound judgment, and determination with a sense of urgency.
Exceptional attention to detail.
Excellent relationship management and interpersonal skills.
Openminded consultative approach.
Ability to give and receive positive and constructive feedback.
Creative problem-solving skills.

About the Company

Gentrack

Software solutions for utilities and airports

Gentrack provides software platforms for utilities and airports to manage their operations. It helps utility companies with billing, customer engagement, and operational efficiency, and extends to airport needs as well. The products are cloud-based software suites that integrate customer data, billing workflows, and operational processes to streamline how utilities and airports interact with customers and run their networks. What sets Gentrack apart is its focused specialization in utilities and airports, long-term customer relationships, and a track record of adapting to regulatory changes while expanding capabilities—supported by an IPO to fund growth. The company's goal is to help utilities and airports navigate modern infrastructure by delivering reliable, scalable software that improves billing accuracy, customer experience, and operational performance.

Company size: 501-1,000
Company stage: IPO
Headquarters: Auckland, New Zealand
Founded: 1989

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