at Macquarie
Investment BankingPosted 4 days ago
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**Senior Data Engineer - Capital Markets (Perm-FT, Mid-Senior Level)** - Join Macquarie's global tech team, supporting critical finance functions. Design, build, test, deploy, and maintain data pipelines and platform features. - Must-have: 8+ years in data engineering, strong Python skills, advanced SQL, Spark/PySpark, AWS and Google Cloud experience. - Nice-to-have: experience with Airflow, dbt, Kubernetes, Git, and AI-assisted engineering. Familiarity with financial services or trading environments. - Offer: Competitive benefits, 12 months' gender affirmation leave, hybrid/flexible working, learning & development opportunities.
- Compensation
- Not specified
- City
- Sydney
- Country
- Australia
Currency: Not specified
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Senior Data Engineer - Capital Markets
What role will you play?
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What you offer
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- 8+ years experience in data or software engineering, with strong Python skills and a record of delivering maintainable enterprise solutions.
- Advanced SQL skills, including joins, common table expressions and window functions.
- Experience building scalable extract, transform and load pipelines, reusable transformations and relational or dimensional models, including incremental loading, schema evolution and batch or streaming integration.
- Experience with Spark or PySpark, including performance optimisation and cloud cost awareness.
- Hands-on experience with Amazon Web Services, including Redshift, S3, Glue, Identity and Access Management and Kinesis, plus familiarity with Google Cloud and SQS, SNS or Kafka.
- Experience with Airflow, Argo or dbt, including dependency management, scheduling, retries and backfills.
- Experience implementing metadata, lineage, reconciliation and completeness checks, with secure access, data protection and auditability.
- Working knowledge of Docker and Unix or Linux, with Kubernetes experience advantageous.
- Experience with Git, code review, automated testing, continuous integration and deployment, controlled releases, observability, recoverable processing and production support.
- Familiarity with approved artificial intelligence-assisted engineering tools such as GitHub Copilot, with independent validation and protection of confidential data; exposure to document processing, embeddings, vector search, retrieval-augmented generation and Amazon Bedrock or equivalent is advantageous.
- Strong stakeholder engagement skills, including investigating data issues, challenging assumptions and communicating dependencies and risks; experience in agile teams, knowledge sharing and financial services or trading is advantageous.
What we offer
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- 1 wellbeing leave day per year
- Up to 5 additional service bonus leave days per year
- Up to 20 weeks paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks paid leave for non-primary caregivers
- 2 days of paid volunteer leave and donation matching
- Up to 12 months gender affirmation leave, including 6 weeks paid leave
- Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
- Access to a wide range of salary packaging options
- Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
- Hybrid and flexible working arrangements, dependent on role
- Reimbursement for work from home equipment
About Technology
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Inclusion at Macquarie
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We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance.
We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.
