Data Engineering · NZ

Data Engineering Services NZ Businesses Trust

ABNOVA Digital turns scattered spreadsheets, SaaS tools and databases into one reliable source of truth. We design and build data pipelines, ETL/ELT workflows, cloud data warehouses and real-time dashboards — on Snowflake, BigQuery, Databricks or Athena — so your team makes decisions from accurate, up-to-date data instead of guesswork. Fixed-scope pricing in NZD, delivered by a Wellington-led team.

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Fixed-scope pricing in NZDFull code & IP ownershipWeekly working demos

Data Engineering Services NZ Businesses Can Rely On

Most businesses don’t have a data shortage — they have a data mess. Sales figures live in one system, customer records in another, finance in Xero, marketing in spreadsheets, and nobody fully trusts the numbers in Monday’s report. ABNOVA Digital provides professional data engineering services in NZ that bring it all together: automated pipelines, a modern cloud data warehouse and dashboards your whole team can rely on.

We’re a Wellington-led data engineering company with a dedicated engineering team in Goa. That model gives New Zealand businesses senior-level data engineering at a price that works for SMEs, scale-ups and enterprises alike — with fixed-scope proposals quoted in NZD, so there are no surprise invoices.

What We Build

Data Pipelines & ETL / ELT Development

We design and build automated data pipelines that extract data from your systems — CRMs, ERPs, Xero, Shopify, HubSpot, Salesforce, databases, APIs and flat files — transform it into clean, consistent models, and load it into your warehouse. Built with tools like dbt, Airflow, Fivetran and Airbyte, our pipelines run on schedule, recover from failures and alert you when something needs attention.

Cloud Data Warehouses & Lakehouses

A single source of truth for your business. We implement and optimise modern cloud data platforms on Snowflake, Google BigQuery, Databricks, Microsoft Fabric and Azure Synapse — structured for fast queries, sensible costs and easy growth. Whether you’re starting from spreadsheets or replatforming a legacy warehouse, we’ll recommend the right architecture for your size and budget, not the most expensive one.

Business Intelligence & Dashboards

Data is only useful when people can see it. We build business intelligence dashboards in Power BI, Looker Studio, Tableau and Metabase — from executive KPI views to operational dashboards your team checks every morning. Automated reporting replaces hours of manual spreadsheet work every week.

Data Integration & Automation

Connect the tools you already use. We integrate accounting, e-commerce, CRM, inventory and marketing platforms so data flows automatically between systems — no more copy-pasting between Xero, Shopify and spreadsheets, and no more conflicting numbers.

Data Migration & Cleanup

Moving off a legacy system, consolidating databases or replatforming to the cloud? We plan and execute data migrations with validation at every step — deduplication, cleansing, mapping and reconciliation — so nothing is lost and the new system starts with clean, trustworthy data.

Real-Time & Streaming Data

For businesses that need up-to-the-minute data — live inventory, IoT sensors, event tracking, fraud detection — we build streaming pipelines with Kafka, Kinesis and Pub/Sub that process data as it happens.

AI & Machine Learning Readiness

AI is only as good as the data behind it. We build the clean, structured, well-governed data foundations that make machine learning, forecasting and AI tools like RAG and LLM integrations actually work — a natural next step once your warehouse is in place.

The Modern Data Stack, Without the Enterprise Price Tag

Enterprise data projects have a reputation for costing six figures and taking a year. Ours don’t. We use proven, modern tooling — dbt for transformation, Airflow or cloud-native orchestration for scheduling, Fivetran or Airbyte for ingestion, and Terraform for infrastructure — assembled pragmatically around your budget. Many of our clients start with a focused first phase: one warehouse, three to five key data sources, and a dashboard that answers their most important business questions.

  • Ingestion: Fivetran, Airbyte, custom API connectors
  • Transformation: dbt, SQL, Python, Spark
  • Warehouse / lakehouse: Snowflake, BigQuery, Databricks, Microsoft Fabric, Redshift, PostgreSQL
  • Orchestration: Airflow, Dagster, Azure Data Factory
  • BI & reporting: Power BI, Looker, Tableau, Metabase
  • Cloud: Azure, AWS, Google Cloud

Data Quality, Security & Governance Built In

Every pipeline we ship includes automated testing, data quality checks, monitoring and alerting — so broken data gets caught before it reaches a report. We follow least-privilege access, encryption in transit and at rest, and can align with the NZ Privacy Act 2020, GDPR and your internal governance requirements. You get documentation and handover, not a black box.

Transparent, Fixed-Price Data Engineering

Our Wellington-plus-Goa delivery model keeps costs well below typical NZ consultancy rates while senior engineers lead every build. Every engagement is fixed-scope, clearly quoted, and tailored to your needs:

  • Data audit & roadmap: Understand your current data landscape and get a practical plan for what to build next.
  • Starter data platform: Build a reliable foundation with core data sources, a warehouse and essential reporting.
  • Full data platform build: Connect multiple sources, build a modelled warehouse, deliver BI dashboards and establish monitoring.
  • Ongoing support & managed pipelines: Keep your data pipelines reliable, monitored and ready to evolve.

Not sure what you need? Book a free consultation and we’ll give you an honest view — including whether a smaller solution would serve you better.

Why Choose ABNOVA Digital as Your Data Engineering Partner?

  • Local accountability: a Wellington-based lead in your time zone
  • Fixed NZD pricing: clear scope, no hourly surprises
  • You own everything: full code, infrastructure and IP ownership — no vendor lock-in
  • Weekly working demos: see real pipelines and dashboards every week
  • Pragmatic, not over-engineered: the right-sized stack for your business, not a résumé project
  • Full-service: we also build the websites and software platforms your data connects to

We work with businesses in Wellington, Auckland, Christchurch and across New Zealand, as well as clients in Australia, the UK and the US.

Ready to trust your numbers again? Get your free data engineering estimate today.

What you get

From scattered data to a single source of truth

Whether you're drowning in spreadsheets or scaling a data platform, every build is engineered to be reliable, documented and easy for your team to use.

🔄

Data Pipelines & ETL/ELT

Automated pipelines that pull data from your CRMs, databases, APIs and SaaS tools, clean it and deliver it on schedule — built with AWS, Azure, and GCP.

🏛️

Cloud Data Warehouses

Modern warehouses and lakehouses on Snowflake, BigQuery, Databricks or AWS Athena — structured for fast queries, sensible costs and growth.

📊

BI & Dashboards

Power BI, Looker and Tableau dashboards that replace manual reporting — executive KPIs, operational views and automated scheduled reports.

🔌

System Integrations

Connect Xero, Shopify, HubSpot, Salesforce and your internal systems so data flows automatically — no more copy-paste or conflicting numbers.

🚚

Data Migration & Cleanup

Legacy system migrations with deduplication, cleansing, mapping and reconciliation — nothing lost, everything validated.

⚡

Real-Time & Streaming

AWS Glue, Kafka, Kinesis and Pub/Sub pipelines for live inventory, event tracking, IoT and anything that can't wait for an overnight batch.

✅

Data Quality & Monitoring

Automated testing, anomaly alerts and observability built into every pipeline — broken data gets caught before it reaches a report.

🤖

AI & ML Readiness

Clean, governed data foundations that make forecasting, machine learning and LLM/RAG integrations actually work.

Our approach

Data you can finally trust

We combine Wellington-based leadership with a skilled engineering team in Goa to deliver senior-level data engineering at a fixed NZD price. Pragmatic architecture, automated testing and full documentation — so your platform keeps working long after we hand it over.

  • Fixed-scope pricing in NZD, no surprise invoices
  • Wellington lead, Goa engineering team
  • Right-sized stack — never over-engineered
  • Data quality testing and monitoring built in
  • Security, privacy and NZ Privacy Act alignment
  • Full code, infrastructure and IP ownership
  • Weekly demos, documentation and handover
AWS GlueSnowflakeBigQueryDatabricksAthenadbtAirflowLambdaPythonSQLSparkKafkaPower BILookerTableauAzureAWSGoogle CloudTerraformPostgreSQL
How we work

A calm, predictable delivery process

The same four stages on every data engineering project — so you always know what happens next, what it costs and when it ships.

See the full process →
01Discover → 02Design → 03Build → 04Launch → 05Grow
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Data engineering FAQ

Common questions about data engineering

What is data engineering and why does my business need it?

Data engineering is the practice of collecting data from all your systems — accounting, CRM, e-commerce, spreadsheets — cleaning it, and delivering it to one reliable place where it can be reported on and trusted. If your team spends hours building manual reports, or different departments quote different numbers for the same thing, data engineering fixes that permanently.

How long does a data engineering project take?

A data audit takes 1–2 weeks. A starter data platform typically takes 12–24 weeks, and a full multi-source platform 24–48 weeks depending on complexity. You'll see working pipelines and dashboards in weekly demos throughout.

Should I use Snowflake, BigQuery, Databricks or Athena?

It depends on your existing tools, data volume and budget. BigQuery suits Google-centric teams and pay-per-query pricing; Snowflake is a strong all-rounder with excellent scaling; Databricks is ideal for heavy processing and machine learning; Athena fits organisations already invested in AWS. We'll recommend the right platform for your situation — not the most expensive one.

What is ETL and how is it different from ELT?

Both move data from your source systems into a warehouse. ETL (extract, transform, load) cleans the data before loading it; ELT (extract, load, transform) loads raw data first and transforms it inside the warehouse using tools like dbt. Modern cloud platforms generally favour ELT because it's faster, cheaper and easier to audit — and it's our default approach.

Can you connect Xero, Shopify, HubSpot and our other tools?

Yes. We build integrations for Xero, Shopify, WooCommerce, HubSpot, Salesforce, MYOB, Stripe, Google Analytics and hundreds of other platforms — via managed connectors or custom APIs — so your data flows automatically into one place.

Is our data secure, and do you comply with the NZ Privacy Act?

Yes. We follow least-privilege access controls, encryption in transit and at rest, and can host your data in your preferred region. We align builds with the NZ Privacy Act 2020 and GDPR where required, and you retain full ownership and control of your data and infrastructure at all times.

We're a small business running on spreadsheets. Is data engineering overkill for us?

Not at all — small businesses often see the fastest payoff. A right-sized starter platform can replace hours of weekly manual reporting with automated dashboards, and it scales as you grow. We deliberately avoid over-engineering: if a simpler solution serves you better, we'll tell you.

Do we own the pipelines, code and infrastructure you build?

Yes. You receive full ownership of all code, data models, infrastructure configuration and documentation. There's no vendor lock-in and no proprietary black box — any competent engineer could pick up where we left off.

Do you provide ongoing support after the build?

Yes. We offer managed pipeline support from NZD [$XXX]/month, covering monitoring, failure resolution, platform updates, new data sources and dashboard changes — so your data platform stays reliable as your business evolves.

Next step

Talk to us about your data

Book a free 30-minute call with our Wellington team. We'll give you an honest view of scope, timeline and cost — whether you need one dashboard or a full data platform.

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