Data Implementation Engineer

Icehouseventures; Auckland; On-site; NZD 70,000 - 110,000; Full time

Job summary

Icehouseventures in Auckland is seeking a Data Implementation Engineer to oversee technical delivery of data integrations for accesso Intelligence. This role involves working with customers to ensure data quality, onboarding new integrations, and building analytics-ready datasets. Ideal candidates should be proficient in Python and SQL, have a strong understanding of operational data systems, and a customer-oriented mindset. The position supports a hybrid work environment, blending office and remote work.

Qualifications

• Fluency in Python and SQL along with experience in data platforms.
• Ability to understand business rules and organizational structures related to data.
• Experience building and maintaining integrations with third-party systems.

Responsibilities

• Establish integration patterns and collaborate with data engineering.
• Onboard new customers and ensure data integrity.
• Build derived datasets and transformations for analytics-ready inputs.
• Provide feedback to product and engineering teams based on integration realities.
• Engage directly with customers on data queries and expectations.

Skills

Python

SQL

API integration

Data quality management

Tools

DuckDB

MotherDuck

Job description

Position Overview

We're accesso Intelligence (powered by Dexibit).

accesso Intelligence is the intelligence layer for the business of fun — serving iconic visitor attractions around the world. Not just data, but AI that understands how attractions actually work, helping teams make insightful decisions then act on them: getting more visitors through the door, spending, engaging, leaving happily and returning loyally, with efficiency.

With 25 years of deep industry experience behind us and Dexibit's AI pedigree inside us, you get the best of both worlds: startup culture close to the ground up, with the scale of a listed company behind you.

What we build

accesso Intelligence sits on top of the world’s richest cross-vendor dataset for visitor attractions — integrating with 100+ industry source systems across ticketing, F&B, retail, queuing, CRM, operations and more. That data foundation is what makes everything else possible: the conversational insight, the forecasting, the benchmarking, the AI.

Where you fit

We're looking for a Data Implementation Engineer to own the technical delivery of accesso Intelligence integrations, then executing that pattern reliably and at volume across our customer base. You’ll be building upon, and maintaining, our class-leading data platform.

What makes this role distinct is the combination of technical execution with genuine understanding of how attractions actually operate commercially. A revenue share arrangement between a venue and an operating partner, a multi-operator ticketing setup, a seasonal membership model with complex redemption logic — these aren’t edge cases, they’re the norm. Getting the data right means understanding the business behind it.

Location: Auckland based, hybrid (~3 days in our Parnell office / optionally ~2 at home)

Reports to: VP, accesso Intelligence

Travel Requirement: None

What you'll be working on

• Establish the integration patterns. Work with the data engineering team to define how accesso Intelligence connects to each accesso product. Data model, transformation logic, semantic mapping, quality thresholds. This is foundational work you'll do once per product (and refine over time) rather than reinvent per customer.
• Scale and maintain across customers. Onboard new customers onto each integration — configuring per venue, validating data integrity against our acceptance criteria. Then own the ongoing health: change requests, configuration updates, and diagnosis when something breaks or drifts.
• Build derived datasets and transformations. Beyond raw integration, you'll help build the derived datasets, transformations and semantic mapping that turn source data into meaningful, analytics-ready inputs — the layer between what a system outputs and what accesso Intelligence needs to deliver insight.
• Close the feedback loop into accesso. You'll be the eyes and ears of integration reality. We all want to find the global optima. Sometimes that means feedback into the product and engineering teams to shine a light on opportunities and future use cases.
• Work directly with customers on data. You'll engage with customer technical and operational contacts through onboarding and beyond — handling data queries, managing expectations on timelines and data quality, and translating between what customers have and what the platform needs.

What you bring to the role

• You're fluent in Python and SQL, comfortable with data platforms and transformation tools, and have experience building and maintaining integrations with APIs and third‑party systems. Our stack runs on DuckDB and MotherDuck — you don't need prior experience with them, but you should be the kind of person who finds that interesting rather than a detour from the tools you'd rather be using.
• You know data doesn't exist in a vacuum. You build a working mental model of how operators actually run: their business rules, revenue arrangements, data quirks and organisational structure. Not just their schema.
• You're pattern‑minded. You find the repeatable approach, document it, and execute at volume — without letting consistency become rigidity when a customer's situation genuinely requires something different.
• You're customer‑oriented without losing your technical edge. You can sit on a call with a customer's data team, translate their needs into integration requirements, and communicate clearly about what's possible and when.
• You care about data quality like it's personal. Acceptance criteria, integrity checks, derived logic — you hold the line on what good looks like, because you know the difference between a quick fix and the right one.

How you got here

• A data or software engineer who's done integration or implementation work and wants a role where you can see the direct impact of your work on real customer outcomes
• A person from a SaaS implementation or solutions engineering background who has strong data fundamentals and wants to go deeper technically
• A data analyst or BI engineer who's crossed over into pipeline and integration work and thrives at the intersection of technical delivery and customer context
• A person from the attractions, hospitality or cultural sector who's worked closely with data systems and wants to turn operational knowledge into implementation expertise

We are dedicated to providing equal opportunities for all, and any hiring decisions will be assessed on qualifications, merit and business need.