Senior Data Engineer at Serko Ltd
Auckland City, Auckland, New Zealand -
Full Time


Start Date

Immediate

Expiry Date

13 Sep, 25

Salary

0.0

Posted On

15 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world’s leading business travel marketplace. We are proud to be an equal-opportunity employer, we embrace the richness of diversity, showing up authentically to create a positive impact.

MAKE AN IMPACT

We are looking for someone who comes from a strong business intelligence and data engineering background. The Senior Data Engineer role will ensure that no days will be the same and there will always be exciting tasks to work on - from the usual data modelling, ingestion, transformation, orchestration, visualisation, data cataloging and data governance.

Responsibilities
  • Collaborate with architects and principal engineers and provide technical expertise in selecting new or improving existing data platforms
  • Work with Platform, Architecture, and Security teams to ensure data platform solutions are designed for performance, security, durability and scalability
  • Participate in developing and implementing proof-of-concept/experiment projects to validate new data/database models and data platform solutions.
  • Work with Engineering, Product Management and other business departments to achieve data extract, load, transform, analysis and visualisation needs
  • Provide technical guidance to team members comprised of SQL developers, BI Developers, DBAs, data engineers and data/business analysts
  • Develop new or improve existing complex SQL, PowerShell, Python, and Spark scripts used in both SQL-based and non-SQL-based OLTP and OLAP systems
  • Build, run, and optimise the data pipelines and deployment pipelines
  • Advocate for SQL and data engineering best practices
  • Participate in an on-call roster
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