Senior Data Engineer
Gentrack is hiring a Senior Data Engineer in Auckland, New Zealand. It pays NZD 120-NZD 148/hr and Level rates it ; you can apply on Gentrack.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Bedrock and Replicate among its tools and skills.
- Level classes it as a senior role.
- Gentrack has 14 other open roles on Level.
- Posted in the last few days.
AI in this role
bedrockreplicate
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 OpportunityAs 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.
Key Responsibilities
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.
Skills, Knowledge & Expertise
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.
How we rate this
Senior Data Engineer at Gentrack rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Classification
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
BedrockReplicate
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
Use the typical data engineer figure as a reference when pay comes up. See data engineer jobs
Questions you could be asked
- What's a project where you used Bedrock hands-on?
- Walk me through how you've used Replicate in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Bedrock and Replicate. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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