JOB SUMMARY

As a Modern Operations Data Engineer, you will play a pivotal role in supporting scalable and resilient Data, SaaS and Cloud based infrastructure. You will be part of the development of cutting‑edge operations strategies that ensure the continuous delivery, security, and performance of enterprise Data Platforms. This role requires a blend of hands‑on technical expertise, critical thinking, innovation and excellence within IT operations and will be working onsite with customers and your team 2‑3 days per week.

What You’ll Do

- Support Snowflake, Databricks and enterprise data platforms, including integration and management of third‑party tooling and data sources
- Infrastructure automation & optimisation for data workloads (infrastructure‑as‑code, cost optimisation, autoscaling environment standardisation)
- CI/CD pipeline development for data (data pipelines, ETL/ELT workflows, schema migrations, data quality checks, automated testing and deployment)
- Monitoring & incident response for data platforms (data pipeline health, SLAs, data quality, lineage), including request, change and release management and contributing to PIR/RCA documentation and customer presentations
- Implement data security best practices (data access control, encryption, compliance, data masking, secure data sharing)
- Performance monitoring of data pipelines and platforms (query optimisation,



partitioning, indexing, caching, resource tuning, scaling strategies) and other continual improvement initiatives
- Maintaining ITSM outcomes for data services (queue hygiene, SLAs, escalation management)

What You’ll Bring

- Experience in data engineering, distributed systems, CI/CD, automation and major cloud platforms (AWS, Azure, GCP), with strong operational experience and preferably advanced certifications
- Explicit written and verbal communication with technical and non‑technical stakeholders
- Strong problem‑solving skills for complex data, performance and production issues
- Effective stakeholder management and prioritisation across competing demands
- Continuous improvement mind‑set for processes, pipelines and tooling
- Strong analytical skills (data modelling, root cause analysis, capacity planning, interpreting metrics)
- Team-oriented working style with cross‑functional teams (data, engineering, operations)

Slalom is an equal opportunity employer and welcomes all qualified applicants. Slalom does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis protected by applicable law.

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📌 Data Operations Engineer (City of Sydney)
🏢 Slalom
📍 City of Sydney