Data Engineer
Eightcap Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Eightcap. Melbourne · full-time · no salary stated · we estimate A$126,337–A$130,348 across Australia.
Eightcap has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain pipelines that move internal, API, streaming and external data into the data lake
- Shape the data lake design, lead complex pipeline work and document key decisions
- Write and review SQL and Python, using PySpark, dbt and AWS services while setting team coding standards
- Add checks and controls for data accuracy, security and governance, including ASIC reporting obligations
- Keep pipelines reliable by monitoring and tuning them, resolving production incidents, and mentoring engineers
What you bring
- At least three years as a data engineer, with ownership of major pipelines or platform components
- A degree in computer science, software engineering or a related area
- Strong SQL and Python skills, with practical PySpark experience and a background building cloud data platforms
- Hands-on AWS pipeline experience, including ingestion from APIs, streaming and CDC sources
- Experience with dbt, data governance, and DevOps or CI/CD practices
Who this fits
This suits a mid-level data engineer ready to own significant pipelines, lead technical delivery and mentor less experienced engineers. The role is based onsite in Melbourne.
From the employer
Eightcap operates at the intersection of cutting-edge technology and global financial markets. Headquartered in Melbourne with a global footprint spanning the UK, Cyprus, and Bulgaria, we build the high-performance infrastructure that connects the world to CFD markets - reliably, securely and with precision.
We're looking for a data engineer who thinks like an owner, not just a builder. Someone who sees a pipeline not as a task to finish but as infrastructure to be trusted, and who wants to be the person the team turns to when data needs to be right, fast and secure. In this role, you'll own critical, regulated data pipelines end to end, and become a key technical voice shaping how our data platform grows.
To drive real impact in this role, you will:
- Build the Data Backbone: Design, build and maintain end to end pipelines that bring internal, API, streaming and third-party data into our data lake.
- Shape the Platform's Architecture: Contribute to the design of our data lake and lead complex pipeline components, backed by solid documentation.
- Write Code That Lasts: Write and review high quality SQL and Python, using tools like PySpark, dbt and AWS Glue, EMR and S3, while raising the bar on team standards.
- Own Data Quality and Compliance: Implement validation, cleansing, security and governance frameworks that keep our pipelines accurate, safe and aligned with obligations like ASIC reporting.
- Keep Things Running: Monitor, troubleshoot and optimise pipelines for performance, cost and reliability, and jump in when production incidents need solving.
- Grow the Team Around You: Mentor junior and mid-level engineers, contribute to code and design reviews, and lead delivery on your own technical projects.
- Bring in What's Next: Evaluate new data sources and third-party APIs, and keep the team's tools and practices current with emerging tech.
Requirements
- Minimum of 3 years’ experience as a Data Engineer, with demonstrable ownership of significant data pipelines or platform components.
- Degree in Computer Science, Software Engineering, or related field.
- Strong, hands-on proficiency in SQL and Python, with practical expertise in PySpark and modern data lake/lakehouse solutions.
- Proven ability to design and build cloud-based data lake, warehouse, and lakehouse solutions, including complex ETL/ELT pipelines from multiple sources.
- Deep experience with AWS services (Glue, Crawler, S3, EMR, RDS, DMS, Lambda, Batch, Athena, Redshift) to build data lake infrastructure; experienced in building and maintaining API-based, streaming, and CDC ingestion.
- Strong track record of monitoring, troubleshooting, and optimizing AWS data pipelines across production and development environments.
- Experience with transformation frameworks such as dbt and a solid understanding of data governance concepts.
- Practical experience with DevOps and CI/CD practices.
- Solid exposure to core AWS infrastructure, including IAM, VPC, VPC Peering, NAT Gateway, ACL, Secrets Manager, EC2, and ECS.
- Clear communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- Interest in trading, FX, or general finance, with exposure to regulated data environments would be highly advantageous!
Benefits
What's it like to work at Eightcap?
We have built a performance-driven environment where you're given the autonomy to drive change and the accountability to own the results. We provide a space for the ambitious, adaptable and collaborative to deliver outcomes that fuel our success while building the skills and experience that defines a career.
We also support you through:
- Ongoing investment in your career development, including technical and professional training.
- Wellness and lifestyle perks, such as monthly corporate massages.
- Drinks every Friday.
- Parental leave entitlements.
- Staff referral bonus programme.
- Annual flu vaccinations.
- Purchased leave.
- Novated leasing options for vehicle financing and management.
- A great CBD location with easy access to public transport.
- A multicultural, collaborative and supportive team culture.
- Being part of exciting new projects for the company.
- Regular social activities.
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