Staff Data Engineer

Tech Aalto Pte Ltd; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Synechron in Sydney is seeking an experienced Staff Data Engineer to design, build and optimize scalable data pipelines and cloud-based data warehouses that support enterprise analytics and BI initiatives. You will work with Snowflake, dbt and data modelling to deliver reusable data solutions across business domains.

Ideal candidates have strong SQL, Python, and cloud experience (AWS/Azure/GCP), plus a track record of delivering production-grade ETL/ELT pipelines and data governance practices.

Qualifications

• Strong production Snowflake experience.
• Production PySpark / Spark experience.
• Python programming.
• Advanced SQL development & tuning.
• Experience with AWS/Azure/GCP.
• Enterprise data engineering basics.
• Git-based version control & CI/CD.

Responsibilities

• Design, build, and maintain scalable data solutions using Snowflake as the enterprise data platform.
• Build and manage data transformation frameworks using dbt.
• Develop and optimize ELT/ETL pipelines for structured and semi-structured data.
• Create and maintain data models supporting analytics and reporting.
• Ensure data quality, governance, and documentation.
• Optimize Snowflake performance and cost management.

Skills

Snowflake Data Cloud

dbt (Data Build Tool)

Data Modelling

ETL/ELT

SQL

AWS

Azure/GCP

Git & CI/CD

Python

PySpark

Tools

S3

EMR

Job description

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Job Description

We are seeking an experienced Data Engineer with strong expertise in Snowflake, dbt (Data Build Tool), and Data Modelling to join a high-performing data team. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and cloud-based data warehouse solutions that support enterprise analytics, reporting, and business intelligence initiatives.
Key Responsibilities

• Design, develop, and maintain scalable data solutions using Snowflake as the enterprise data platform.
• Build and manage robust data transformation frameworks using dbt .
• Develop and optimize ELT/ETL pipelines for structured and semi-structured data.
• Create and maintain logical and physical data models supporting analytics and reporting requirements.
• Implement best practices for data quality, testing, governance, and documentation.
• Optimize Snowflake performance, cost management, and query tuning.
• Collaborate with business stakeholders, data analysts, architects, and engineers to gather requirements and deliver data solutions.
• Develop reusable dbt models, macros, tests, and documentation.
• Support data migration, integration, and modernization initiatives.
• Ensure adherence to security, compliance, and data governance standards.

Mandatory Skills

• Strong hands-on experience with Snowflake Data Cloud.
• Extensive experience with dbt (Data Build Tool) including model development, testing, snapshots, and incremental loading.
• Strong expertise in Data Modelling (Dimensional, Star Schema, Snowflake Schema, Data Vault).
• Experience building enterprise-grade ETL/ELT pipelines.
• Advanced SQL development and performance tuning.
• Experience with cloud platforms such as AWS, Azure, or GCP .
• Strong understanding of data warehousing principles and best practices.
• Experience with Git-based version control and CI/CD processes.

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

2.StaffDataEngineer

Key responsibilities

1. Design the Collections Snowflake and PySpark architecture.
2. Lead integration withcommbank.data.
3. Model HPS card and accountdatafor Collections use cases.
4. Definedatacontracts and schema-evolution standards.
5. Establish automateddata-quality and reconciliation controls.
6. Design restartable, idempotent and recoverable pipelines.
7. Optimise Snowflake and PySpark workloads.
8. Establish production monitoring anddata-pipeline observability.
9. Lead technical reviews and complexdatainvestigations.
10. Mentor SeniorDataEngineers andDataEngineers.
11. Work closely with Cards MOD, PCC and platform teams.

Essential skills

a) Strong production Snowflake experience.
b) Strong production PySpark / Spark experience.
c) Python.
d) Advanced SQL.
e) AWS.
f) S3.
g) Enterprisedataengineering.
h) ETL/ELT anddatamodelling.
i)Dataquality and reconciliation.
j) CI/CD and automated testing.
k) Production support.

Highly regarded

EMR / EMR Serverless.
Step Functions.
Lambda.
Cards or paymentsdata.
Collections or lending.
PowerCurve Collections.

Key responsibilities

1. Design the Collections Snowflake and PySpark architecture.
2. Lead integration with commbank.data.
3. Model HPS card and account data for Collections use cases.
4. Define data contracts and schema-evolution standards.
5. Establish automated data-quality and reconciliation controls.
6. Design restartable, idempotent and recoverable pipelines.
7. Optimise Snowflake and PySpark workloads.
8. Establish production monitoring and data-pipeline observability.
9. Lead technical reviews and complex data investigations.
10. Mentor Senior Data Engineers and Data Engineers.
11. Work closely with Cards MOD, PCC and platform teams.

Essential skills

a) Strong production Snowflake experience.
b) Strong production PySpark / Spark experience.
c) Python.
d) Advanced SQL.
e) AWS.
f) S3.
g) Enterprise data engineering.
h) ETL/ELT and data modelling.
i) Data quality and reconciliation.
j) CI/CD and automated testing.
k) Production support.

Highly regarded

EMR / EMR Serverless.
Step Functions.
Lambda.
Cards or payments data.
Collections or lending.
PowerCurve Collections.

Attributes to bring technical delivery, business alignment, operational excellence, and collaboration with Site Reliability Engineers and Data Scientists.

Benefits include a competitive remuneration package, flexible working arrangements, and opportunities for professional development. The role may be full-time, permanent, and may require Australian Citizenship for eligibility.

Application deadline: 28 Oct 2026 at 11:55PM.

Contact information and requirements for adjustments during the application or interview process have been omitted for clarity.