The Opportunity
At More, we are transforming our data space and are mid-way through a shift to Microsoft Fabric, building the data foundation that will underpin our next phase of growth. This role will help shape how that happens, not just execute against a plan.
The Senior Data Engineer will help shape to end-to-end design, delivery and continuous improvement of our data products and pipelines, working in Microsoft Fabric across OneLake, Data Pipelines, Notebooks and Dataflows. Working closely with SMEs to turn source-level data into trusted, reporting-ready datasets, and be the person who picks up hard data problems and sees them through to resolution.
This is a hands-on senior role in a small team. Setting design direction, write production code, troubleshoot incidents, define standards and contribute to roadmap — often in the same week.
More about More
More and Tangerine are two fast-growing challenger brands in the telecommunications space. Offering nbn®, mobile and fixed voice products right across Australia.
Our values of Start with the customer, Simplicity for Speed, Community of Individuals and Collaborate to win underpin everything we do!
Responsibilities
- Partner with SMEs to understand reporting requirements, source-system logic, metric definitions and data quality pain points, then translate these into reliable data products and reporting-ready datasets.
- Shape the elements of Data strategy and roadmap including data dictionary definition, platform standards, governance uplift, reusable design patterns and roadmap prioritisation.
- Own and continuously improve the underlying data tools, pipelines and infrastructure across Microsoft Fabric, OneLake, Data Pipelines, Notebooks, Dataflows Gen2 and related Azure services.
- Lead the design, implementation and operationalisation of priority data initiatives.
- Take ownership of data issues, reporting discrepancies, pipeline failures and data quality concerns by assessing impact, leading root-cause analysis and coordinating resolution.
- Drive data remediation initiatives by defining correction approaches, prioritising fixes, validating outcomes and implementing durable controls
- Improve platform reliability through data quality checks, observability, SLA monitoring, automation, testing and proactive management of pipeline performance with IT Operations.
- Ensure data solutions meet regulatory, privacy and cyber security expectations, including appropriate access controls, masking, retention, audit readiness and alignment with ISO 27001, the Australian Privacy Act, SOCI and Essential 8.
- Support team capability by contributing to documentation, runbooks, coding standards, reusable templates, peer reviews and practical data literacy across business and technology teams.
Essential experience
- 5+ years experience in data engineering, or a related discipline, including ownership of production-grade data pipelines and business-critical data products.
- Demonstrated delivery of end-to-end data initiatives, from requirements and design through to implementation, operational support and continuous improvement.
- Experience partnering with business reporting SMEs to define metrics, validate business logic, resolve data quality issues and improve trust in reporting outputs.
- Bachelor’s degree in computer science, Information Systems, Engineering or equivalent practical experience.
Technical skills
- Strong Microsoft Fabric capability, including Lakehouse, Warehouse, OneLake, Data Pipelines, Notebooks and Dataflows Gen2.
- Strong SQL and PySpark skills for batch and near-real-time processing, data modelling, metadata-driven pipelines and robust parameterisation.
- Practical experience with medallion architecture, Delta/Parquet formats, Azure services, environment promotion and Power BI semantic model performance practices.
- Sound understanding of security and governance practices, including data masking, role-based access, privacy compliance, backup/restore and audit readiness.
Professional capabilities
- Strong engineering fundamentals, with a focus on scalable design, automation, reliability, testing and operational support.
- Structured problem-solving capability, including incident investigation, root-cause analysis, impact assessment and durable remediation planning.
- Excellent communication, stakeholder engagement and influencing skills, with confidence working across business, architecture, engineering and operations teams.
- Proactive ownership mindset, high attention to detail and the ability to thrive in a fast-moving, small-team environment.
Nice to have
- Experience with Dynamics 365/CRM sources and commercial or billing data domains.
- Familiarity with ISO 27001 audits, Australian Privacy Act obligations, SOCI, Essential 8 and vendor coordination.
