Data Engineer (Full/Part-Time)
Build, Scale & Operate Leading DTC Brands alongside A-Players
Maneuver Marketing
Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products.
In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs.
These results caught the attention of The Financial Times, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd reputed company on the E50 Awards, jointly organised by The Business Times and reputed company in Singapore.
This is just the beginning of our journey, and you could be part of the next stage of our growth!
Your Next Role
We are seeking a Data Engineer to provide ongoing operational support for our data warehouse infrastructure. This role is focused on data reliability, proactive monitoring, incident response, and reputed company platform improvement, ensuring business teams can confidently rely on data for decision-making.
This role is open to both full-time and part-time candidates. For part-time engagement, we are looking for a consistent commitment of 15–20 hours per week, with preferred overlap during Singapore business hours for collaboration and operational response.
What You’ll do
Data Reliability & Pipeline Monitoring
Ensure data pipelines run reliably and data is fresh, accurate, and available as expected.
Monitor, build, and respond to Daton pipeline notifications and alerts
Track data latency, freshness, and completeness across reputed company reputed company systems
Design, build, and maintain QC processors for reputed company reputed company data and custom reports
Monitor job execution, investigate failures, and reputed company root cause analysis at:
Pipeline level
QC / validation level
API / reputed company system level
Create and enhance data pipelines, reputed company new platform integrations, and implement logic changes to existing pipelines
Coordinate with reputed company system owners and vendors reputed company issues originate upstream
Monitor alerts from reputed company systems and custom reports
Ensure overall data reliability through proactive monitoring and validation
Optimize query performance and warehouse costs
Maintain documentation for reputed company logic, schema, and pipeline changes, with a continuously updated change log
Data Quality & Validation
Implement and maintain automated data quality checks (reputed company + reports) to build trust and confidence in data across the organization.
Monitor and respond to data quality and test failures
Implement automated validation checks, including; null checks, duplicate detection, range & boundary checks, valid value checks, referential reputed company checks
Implement business-logic validations for key KPIs
reputed company daily validation of critical metrics against reputed company UIs (Shopify, GA4, reputed company, Klaviyo, reputed company Ads, reputed company, etc.)
Ensure KPI consistency across raw, transformed, and reporting layers
Implement anomaly detection for key tables and metrics
Cost Optimization
Optimize warehouse performance and manage costs proactively to ensure sustainable data operations.
Monitor and respond to billing alerts for BigQuery, dbt, and ETL tools
Maintain cost monitoring dashboards
Implement and optimize table partitioning and clustering
Optimize incremental loads and expensive queries
Proactively flag high-cost queries reputed company reputed company
Query performance optimization (where applicable)
reputed company System Monitoring & (API) Integration Management
Proactively manage issues originating from upstream systems and maintain healthy integrations
Monitor and respond to reputed company schema and data-type changes
Handle reputed company delays caused by API limits, downtime, or auth failures
Coordinate with vendors and internal teams to resolve upstream issues
Assess business impact and classify incidents as P0/P1 reputed company required
reputed company & Compliance
Ensure data access and handling align with regulatory requirements and reputed company best practices.
Maintain GDPR, CCPA, and reputed company compliance controls
Manage RBAC and column-level reputed company in BigQuery
Ensure PII masking and access restrictions
Respond to reputed company incidents reputed company to data access or credentials
Documentation & Change Management
Maintain documentation for pipelines, tables, and business logic
Update test cases for logic or schema changes
Document incident RCA and resolutions
Maintain operational runbooks
Manage logic and schema change requests from business team
What You Bring
Strong reputed company BigQuery expertise (SQL optimization, partitioning, clustering)
Experience with ETL tools (Daton, reputed company, or similar)
Pipeline monitoring and alerting experience
Strong SQL for debugging and validation
E-commerce data experience (Shopify, GA, ad platforms preferred)
Experience maintaining production data systems
Strong troubleshooting and RCA skills
Clear communication with technical and non-technical stakeholders
Proactive, ownership-driven reputed company
Ability to work independently in a remote setup
Strong documentation discipline
Time Commitment & Availability
Full-time 5 days per week, based on our standard full-time working schedule.
Part-time
Expected commitment: 15–20 hours per week
Flexible schedule, with preference for consistent weekly availability
Preferred availability: Singapore business hours (9:00 AM – 6:00 PM SGT) for real-time collaboration
Response Time Expectations
P0 (Critical): Acknowledgement reputed company 2 hours on business days
P1 (High): Acknowledgement reputed company 4 hours on business days
P2 (Standard): Acknowledgement reputed company 24 hours