Data Operations Engineer

General Information

Locations

• Melbourne, AUS
• Sydney, AUS

Business Function

Cloud innovation & modernization

Date posted

Wednesday, June 17, 2026

Ref #

JBR0001388

Description and Requirements

Job Description

Who You'll Work With

At Slalom, personal connection meets global scale. Our vision is to enable a world in which everyone loves their work and life. We help organizations of all kinds redefine what's possible, give shape to the future-and get there. In addition to leveraging this standard paragraph, make updates for additional local team and role information.

JOB SUMMARY

As a Modern Operations Data Engineer, you will play a pivotal role n 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
• Clear 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)
• Collaborative working style with cross‑functional teams (data, engineering, operations)

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

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.

#LI-SC11

Go back

Apply

Share this job

• LinkedIn
• Email