Data Engineer
Maneuver Marketing · Remote · India · Sri Lanka ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote role
- 4-6 years experience
- BigQuery + dbt
- E-commerce focus
- Singapore hours
Join a high-growth DTC company that scaled to over $100M in annual sales within five years. You will own the reliability of data pipelines, ensure data quality across marketing and product metrics, and provide analytical support to growth teams.
This position requires a hybrid skill set spanning data engineering and analytics. You will work with BigQuery, dbt, and various e-commerce sources to deliver trustworthy data for leadership decision-making.
What you'll do
- Monitor and optimize data pipelines for latency, freshness, and cost efficiency
- Perform root cause analysis on pipeline failures and upstream issues
- Design automated quality checks and validate critical metrics daily
- Build and maintain dashboards for Growth, Marketing, and Finance teams
- Analyze paid media performance including CAC, ROAS, and LTV
- Manage data security, GDPR compliance, and access controls in BigQuery
- Coordinate with virtual assistants on data-related tasks and scoping
What you'll need
- 4-6 years of experience in data engineering and analytics
- Strong expertise in Google BigQuery SQL optimization and partitioning
- Experience with ETL tools like Daton or Fivetran and pipeline monitoring
- Proficiency with dbt or similar data transformation frameworks
- Skilled in at least one BI tool such as Looker, Tableau, or Power BI
- Ability to respond to critical incidents within defined timeframes
- Strong documentation habits and clear communication skills
Nice to have
- Proficiency in Python for data manipulation or automation
- Background in eCommerce, DTC, or subscription business models
- Familiarity with marketing KPIs like MER and contribution margin
- Experience with PostgreSQL, MySQL, MongoDB, or Azure SQL
- Knowledge of A/B testing frameworks and experimentation
Stack
- Google BigQuery
- Daton
- dbt
- Looker
- Qlik
- Segment
- Shopify
- GA4
- Python
How you'll work
- Fully remote position
- Must align with Singapore business days
- P0 incident response within 2 hours required
- P1 incident response within 4 hours required