dataengine

Q: What is dataengine's company size?

Dataengine has 11 - 50 people working.

Information Technology & Services

Specialities :

Modern data strategy

Mlops or dataops practice

Data driven product development

Cloud and data migration

Data automation

+10

Revenue

11M - 100M

Total Funding

Size

11 - 50

About Us

Unlock your datas potential and transform with dataengine. dataengine, a New Zealand-based leader in data solutions, empowers businesses to unlock the hidden value within their data and achieve true transformation. We connect people, processes, and technology for optimised efficiency and sustainable impact. Founded in 2018, weve grown rapidly thanks to our exceptional team and commitment to delivering practical, impactful results. We believe in building the foundation right, starting with strategic planning and robust architecture. What sets us apart? Experienced & Pragmatic: Our team boasts extensive expertise, focusing on tangible outcomes, not just presentations. Small Wins, Big Impact: We deliver incremental value drops, ensuring our customers see results quickly and continuously. Holistic Enablement: We develop with the customer, in their environment, empowering their team to own and optimise solutions. Leading the way in Generative AI: Weve developed a unique standalone AI ...

Contact Information

Auckland , Auckland , New Zealand

lxx@dataengine.co.nz

dataengine.co.nz

dataengine Org Chart

Employees

Total Employees:
9

Top Contacts:
0

C-Level 0	VP - Level-
Director-	Manager-
Others5

Employees Working At dataengine

Serena Roncolato

Technical Product Owner

Subhashi Randeni

Senior Marketing Manager

Shanathani Kugarajan

Technical Project Manager

Shravani Juluru

ApplicationPlatform Engineering

Paul Sara

Account Executive

dataengine Email Formats

Structure	Email Format
<first>.<last>@	John.Smith@illuminatecharity.org.uk

Buyer Intent

Pain Points	Locations	Technologies
Artificial Intelligence	Auckland, New Zealand	data quality, aws azure, compliance, data science, analytics, data warehousing, communication, rest, data governance, warehousing, scope, r, python, data architecture, sql, e, risk, data management, security
BI	Auckland, New Zealand	data quality, aws azure, compliance, data science, analytics, data warehousing, communication, rest, data governance, warehousing, scope, r, python, data architecture, sql, e, risk, data management, security
Build & Release	Auckland, New Zealand	data quality, aws azure, compliance, data science, analytics, data warehousing, communication, rest, data governance, warehousing, scope, r, python, data architecture, sql, e, risk, data management, security
Cloud Computing	Auckland, New Zealand	data quality, aws azure, compliance, data science, analytics, data warehousing, communication, rest, data governance, warehousing, scope, r, python, data architecture, sql, e, risk, data management, security
Cloud Migration	Auckland, New Zealand	data quality, aws azure, compliance, data science, analytics, data warehousing, communication, rest, data governance, warehousing, scope, r, python, data architecture, sql, e, risk, data management, security

Trigger

Tech Stack Used By dataengine

A quick view of products employed by dataengine

Amazon connect

Gcp

Snowflake

Aws

Taste

List of technologies used by dataengine

Analytics

Aws azure

Communication

Compliance

Data architecture

Languages Used By dataengine

E Python R Sql

OS Used By dataengine

Scope

Jobs at dataengine

Hiring 2024-11-25 18:20:42

Head of Data

Auckland, New Zealand

Summary The head of data is the most senior role at dataengine. You will lead and inspire our dat...

Frequently Asked Questions About dataengine

What does Dataengine do?+

What are Dataengine's specialties? +

Modern data strategy,mlops or dataops practice,data driven product development,cloud and data migration,data automation,self-service analytics,machine learning health check,finance analytics,marketing analytics,data analysis and business intelligence,enterprise data warehousing,digital transformation,managed services,open data,and data governance