Data Engineer at Momentum Metropolitan Holdings Limited

Role Purpose    

• The Data Engineer – Data Acquisition at Guardrisk is a hands-on integration and data enablement role responsible for ensuring that external data providers (cells, binder holders, system providers, administrators, and partners) deliver complete, accurate, timely, and technically compliant data that Guardrisk can reliably ingest and process.
• The role exists to design, implement, and operationalise external data ingestion pipelines, with a primary focus on premium bordereaux (BDX), and secondary responsibility for master and transactional data exchanged with third parties.
• This role works directly with external parties, engaging them on data structures, formats, validation rules, delivery mechanisms, and remediation of issues. It partners closely with the Data Architect (to align to target architecture and data models), Data Analysts (to ensure analytical usability), and Data Stewards (to ensure operational data quality once data is live).
• The role is delivery-oriented and externally facing, bridging business requirements, technical standards, and partner capabilities to ensure Guardrisk can confidently process and rely on third-party data.

Requirements    

Qualifications & Experience

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related field.
• Strong emphasis on practical data engineering experience over theoretical qualifications.
• 5+ years’ experience as a data engineer, with demonstrable focus on:
• External data ingestion and integration.
• File- and API-based data exchange.
• Data validation and reconciliation.

Strong experience working with:

• Bordereaux or high-volume transactional data.
• Financial or insurance datasets.
• Proven experience engaging directly with external data providers.
• Solid exposure to Microsoft Azure data technologies (e.g. Azure Data Factory, Synapse, Databricks, SQL).
• Insurance domain experience strongly preferred, especially where data impacts:
• Premium processing.
• Finance.
• Reporting and regulatory submissions.

Duties & Responsibilities    

External Data Acquisition & Integration (Primary Accountability)

Design, build, and maintain data ingestion pipelines for external data sources, with a primary focus on:

• Premium bordereaux (BDX)
• Policy and transactional feeds
• Supporting master data where required
• Implement ingestion patterns aligned to Guardrisk’s data architecture (batch, file-based, API, secure transfer).

Ensure external data conforms to agreed:

• Data models
• Schemas
• Validation and reconciliation rules
• Delivery frequency and cut-offs
• Enable scalable and repeatable onboarding of new external data providers.
• External Partner Engagement & Enablement
• Act as the technical data interface between Guardrisk and external providers.

Engage directly with:

• Cells
• Binder holders
• Administrators
• System providers

Support partners by:

• Explaining Guardrisk data requirements and standards
• Assisting with mapping, formatting, and transformation logic
• Advising on delivery mechanisms and error handling
• Drive remediation where partner data does not meet required standards.
• Travel to partner and provide onsite support.
• Premium BDX Enablement & Control
• Implement robust ingestion and validation of premium bordereaux, including:
• Structural validation
• Completeness checks
• Reconciliation against expected volumes and values

Ensure BDX data is fit for:

• Finance and premium recognition
• Underwriting performance analysis
• Regulatory and internal reporting
• Work with Data Analysts and Finance to resolve discrepancies early in the pipeline.

Data Quality & Issue Resolution (Engineering Perspective)

• Build and Support automated validation and control checks into ingestion pipelines.
• Support the Data Validator and the rollout in the external data provider space.
• Partner with Data Stewards when operational data quality issues are detected.

Perform root cause analysis across:

• Source systems
• Partner delivery processes
• Ingestion and transformation logic
• Implement durable fixes rather than manual workarounds.

Alignment with Data Architecture & Analytics

• Work closely with the Data Architect to ensure:
• External data aligns to Guardrisk canonical models
• Integration patterns support the target architecture

Collaborate with Data Analysts to ensure:

• External data is usable for analytical and reporting purposes
• Key business metrics can be reliably derived
• Ensure ingestion design balances technical correctness and business usability.

Documentation & Data Contracts

Maintain practical technical documentation for external data integrations, including:

• Data schemas
• Mapping specifications
• Validation rules
• Known constraints or caveats
• Support the definition and enforcement of data contracts with external providers.

Soft Skills

• Strong analytical and problem-solving ability, with a focus on diagnosing data designs, patterns and solutions under operational pressure
• High attention to detail, particularly when working with data used in critical business processes
• Clear, confident communicator able to explain data issues and solutions in business-friendly language
• Comfortable working across business and technical teams to drive resolution
• Accountable and outcomes-focused, with a bias toward action rather than escalation

Competencies    

External Data Integration & Engineering

• Ability to design and implement resilient ingestion pipelines for third-party data.
• Strong understanding of data validation, reconciliation, and controls.

Partner Enablement & Communication

• Ability to work with external parties and support them in their data extraction processes.
• Comfortable engaging external parties on technical data topics.
• Able to explain Guardrisk requirements clearly and pragmatically.
• Balances firmness on standards with practical support.

Analytical & Problem Solving

• Strong diagnostic skills across systems and data flows.
• Able to trace data issues end-to-end across organisational boundaries.

Collaboration & Ownership

• Works effectively with architects, analysts, and stewards.
• Takes ownership of data arriving fit-for-purpose from source, not just “technically delivered”.

Closing Date    

• 2026/05/27