Job Description

At Simple Machines, we harness the power of data to create innovative technology solutions at the crossroads of Data Engineering, Software Engineering, and AI. Our global teams are dedicated to transforming complex data into actionable insights that drive meaningful business impact. Join us as an SQL Analyst to be a key contributor in shaping data strategies and solutions that matter.

Applications are open now, first round interview are being held week commencing 7th July.

Requirements

As an SQL Analyst at Simple Machines, you will play a pivotal role in analyzing, querying, and interpreting complex data sets to support data-driven decision-making for our clients. Collaborating closely with data engineers, software developers, and business stakeholders, you will help unlock the value of data through precise and efficient SQL queries and reports.

The required skills that we’re after:

• 4-5 years commercial experience (ideally in a consulting environment)
• Deep experience with SQL.
• Solid project experience with building data projects in DBT.
• Effective communication skills with both technical and non-technical stakeholders.
• Understanding of benefits and trade-offs between analytical and transactional databases.
• Experience with one or more data warehouses, e.g. BigQuery.
• Experience with query performance optimisation.
• Understanding of benefits between modelling techniques.
• Programming experience, ideally Python.

Nice to haves:

• Experience in Apache Airflow
• Broad knowledge and experience across at least one Cloud platform (AWS and/or GCP)

Important Information before applying

• Must have full rights to work in New Zealand
• Currently reside in Christchurch
• Open to work 3+ days with the office

Benefits

Why Simple Machines

• Accelerated pathway to Data Platform Engineering.
• Attractive development fund - continuous learning
• Highly competitive salary.
• A supportive, collaborative team of smart, experienced engineers who genuinely enjoy working together.
• Hybrid working, with flexibility to work from home with regular collaboration in our award-winning office in central Christchurch.
• Free team lunches provided three times a week, plus a snack bar.
• Varied, interesting work across industries no two projects are the same.
• Continuous learning at the cutting edge of data engineering and AI.