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About the Role
Safewill is transforming estate planning and end-of-life services with accessible technology. Data is central to our operations, shaping decisions and powering products. We are seeking a Data Engineer to expand data utilization across the organization, from analytics and AI tools to product integrations and workflows. This role offers high ownership, working alongside a Senior Data Engineer to build reliable data systems, improve engineering standards, and enhance our established platform.
Responsibilities
- Own data features from design through production, building pipelines, models, and integrations with rigorous software engineering practices.
- Design, build, and maintain scalable data pipelines and models for analytics, AI tools, and product features.
- Activate data through embedded products, enterprise integrations, reverse-ETL, and operational workflows.
- Build secure outbound data integrations, including partner APIs, cloud storage, and file delivery.
- Develop and govern integrations connecting AI agents with Safewill’s data and internal tools.
- Support safe and reliable natural-language access to structured data.
- Improve data quality, testing, observability, and documentation across owned systems.
- Optimize data workloads for performance, reliability, and cost.
- Identify and address technical debt, especially where poor abstractions create downstream complexity.
- Implement governance controls across access management, classification, lineage, cataloguing, and data contracts.
- Partner with technical and non-technical teams to translate business requirements into clear technical solutions.
- Challenge requests where the proposed approach is not secure, feasible, or appropriate.
- Contribute to incident response, root-cause analysis, and continuous improvement.
Requirements
- Mid-level Data Engineer experience or equivalent experience in a small, high-performing team.
- Treat data systems as production systems, considering users, needs, and potential failures.
- Strong platform and data infrastructure experience with a proven track record of scoping and delivering end-to-end data pipelines, tools, and models in production.
- Advanced SQL skills for data transformation and querying.
- Hands-on experience building pipelines and models on a cloud data warehouse.
- Strong Python skills and familiarity with CI/CD practices.
- Experience working with large volumes of data and optimizing ETL workloads for performance and cost.
- Strong data-quality and ownership mindset, treating silent pipeline failures as production bugs.
- Confidence using AI as coding tools and for self-service analytics interfaces.
- Exposure to LLM tooling over structured data (e.g., text-to-SQL, RAG over tabular data, data context for AI assistants).
- Ability to work effectively with non-technical stakeholders to translate requirements into technical specifications and push back on infeasible or unsafe approaches.
- Experience with semantic layers (e.g., LookML, MetricFlow, Cube) is valuable.
- Experience with data cataloguing or metadata tools (e.g., DataHub, Atlan) is valuable.
- Experience with managed ingestion tools (e.g., Fivetran, Airbyte) is valuable.
- Experience with change data capture or replication tools (e.g., Debezium, Datastream) is valuable.
- Experience with event, clickstream, or real-time data processing (e.g., Kafka, Pub/Sub, Flink) is valuable.
- Experience with reverse-ETL tools (e.g., Census, Hightouch) is valuable.
- Experience with data contracts, schema enforcement, or data-quality frameworks is valuable.
- Experience with embedded analytics tools (e.g., Streamlit, Plotly Dash, Superset) is valuable.
- Experience with data masking, tokenisation, or anonymisation techniques is valuable.
Skills
- Data Pipelines
- Data Models
- Analytics
- AI Tools
- Product Features
- Embedded Products
- Enterprise Integrations
- Reverse-ETL
- Operational Workflows
- APIs
- Cloud Storage
- File Delivery
- AI Agents
- Natural Language Processing
- Data Quality
- Testing
- Observability
- Documentation
- Performance Optimization
- Cost Optimization
- Technical Debt Management
- Governance Controls
- Access Management
- Data Classification
- Data Lineage
- Data Cataloguing
- Data Contracts
- SQL
- Python
- CI/CD
- Cloud Data Warehouse
- ETL
- LLM Tooling
- Text-to-SQL
- RAG
- AI Assistants
- LookML
- MetricFlow
- Cube
- DataHub
- Atlan
- Fivetran
- Airbyte
- Debezium
- Datastream
- Kafka
- Pub/Sub
- Flink
- Census
- Hightouch
- Streamlit
- Plotly Dash
- Superset
- Data Masking
- Tokenisation
- Anonymisation
Location
- Australia
Work Type
- Full-time
Experience Level
- Mid-level
About the Company
- Safewill is transforming estate planning and end-of-life services through beautifully simple, accessible technology.
- Backed by investors like King River Capital, Westpac’s Reinventure Fund, Carthona Capital and Flying Fox Ventures.
- Building a digital ecosystem that makes estate planning more affordable, more personalised and more relevant for modern Australians.
- Data is central to how Safewill operates, shaping decisions, powering products and helping deliver better outcomes.
- Data is treated as a product; we care about who uses it, how they use it, and whether it helps them make better decisions or deliver better customer outcomes.
- Engineering quality matters; data pipelines and models are built, reviewed, tested, and monitored with the same discipline as customer-facing software.
- Ownership stays with the people who build; you’ll be involved from early scoping and technical design through to release, monitoring, and iteration.
- Data, product, and engineering work together from the start; you’ll help shape solutions, not simply receive requirements.
- Actively exploring how AI changes the way people access and use data, with space to experiment and establish practical standards.
- Handle sensitive personal, financial, and estate information; privacy, security, and responsible data use are part of every decision.
- Live by SAFE values: Speed, All-in, Find the Impact, Elevate.
- Rewriting how Australians deal with death by making estate planning simple, accessible, and modern through great technology.