Data Engineer

Public sector agencies, utilities and large health systems licence our asset management platform under multi-year contracts. On-call rotates weekly and pays a flat stipend whether or not the pager goes off.

Job summary:

The previous person in this role moved to another team. The Data Platform team moves data from about 30 source systems into Snowflake. You'll own ingestion, modelling and data quality checks. You will be employed through our employer-of-record partner in Bangladesh, with a local contract and salary paid in taka. Working hours overlap with Central European Time.

Duties:

• Model data in dbt using staging, intermediate and mart layers
• Write data quality tests with dbt or Great Expectations and alert on failures
• Handle PII according to retention, masking and access policies
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg
• Respond to pipeline failures and backfill data when needed
• Maintain CI for data code and review pull requests

What you need:

• 3+ years of data engineering, or backend work with data at volume
• Familiarity with Git, CI/CD and testing practices for data code
• Patience with messy source data and the habit of documenting assumptions
• Understanding of dimensional modelling and slowly changing dimensions
• Hands-on with an orchestration tool such as Airflow
• Working knowledge of AWS, GCP or Azure data services
• Strong Python for data processing

Preferred:

• Terraform for data infrastructure
• Background in finance or marketing data

Perks and benefits:

• Annual salary review
• Health insurance through our employer-of-record partner
• Public holidays observed per your country
• Performance bonus
• Monthly internet allowance

Please include your notice period and salary expectations.

Due to the number of applications, only shortlisted candidates will be contacted.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Northmoor.