FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining cloud-based ELT pipelines and data integration solutions, with strong skills in SQL, Python, and PySpark. Proficient in working with Azure Data Factory, Databricks, and dbt, ensuring data quality and pipeline optimization.
Highest-signal resume keywords
Cloud Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingDimensional Data ModellingCI/CD Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonPySparkDimensional Data ModellingData Pipeline OptimizationData Quality AssuranceCloud Environment ExperienceData Integration SolutionsELT Pipeline DevelopmentAutomated Testing
Soft Skills
Good Communication SkillsCollaboration Across TeamsAdaptability to New Technologies
Tools & Technologies
Azure Data FactoryDatabricksDbtSalesforceSAPGenesys CloudAPIsSharePoint Integrations
Industry Keywords
Data MigrationRevenue OperationsCloud ComputingData IntegrationTechnical Documentation
Tech Stack
Tools & technologiesAWSAzureCloudPySparkPythonSQL
About the role
Key responsibilities & impact- Build, test and maintain cloud-based ELT pipelines and data integration solutions
- Support migration of data between Salesforce and enterprise platforms including SAP, Genesys Cloud and licensing systems
- Develop and transform dimensional data models using SQL, Python and/or PySpark
- Work across Azure Data Factory, Databricks and dbt environments
- Improve pipeline performance, scalability, cost efficiency, observability and reliability
- Apply engineering practices across CI/CD, testing, code reviews and technical documentation
- Collaborate with internal stakeholders, source-system specialists and Slalom engineers to deliver project milestones
- Contribute to a large-scale Salesforce data migration within a multi-year Revenue Operations transformation programme
- Ensure data is accurate, accessible and fit for purpose
Requirements
What you’ll need- Commercial experience building and maintaining data pipelines within a cloud environment such as Azure or AWS
- Strong SQL skills
- Confidence coding in Python and/or PySpark
- Experience working with a modern data platform such as Databricks
- Experience in dimensional data modelling, data quality and pipeline optimisation
- Familiarity with CI/CD, automated testing, version control and technical documentation
- Good communication skills and ability to collaborate across a distributed project team
- Ability to pick up new technologies
- Exposure to dbt Core, Azure Data Factory, Salesforce, SAP, APIs or SharePoint integrations would be a bonus
- Ability to work remotely within New Zealand or from the Hamilton office
Benefits
Comp & perks- Flexible hybrid working that supports work-life balance
- Free onsite parking
- A subsidised café
- Great local eateries in Hamilton
- Boost App membership
- Exclusive Gallagher staff discounts
- Ongoing professional development and career growth opportunities
- Competitive remuneration
- 12-month fixed-term assignment