Graduate Data Engineer

About Mulberryland HQ:

Orders are packed by hand for two carrier pickups a day, and customer emails go to whoever is free. Growth has come from search and word of mouth, not paid ads.

The role:

We are adding a Graduate Data Engineer to our operations team. The operations team moves data from about 30 source systems into Snowflake. You'll own ingestion, modelling and data quality checks. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. Remote within Bangladesh. The team meets in Dhaka once a quarter, travel covered.

What you'll work on:

• Document datasets and lineage in a catalogue such as DataHub or Atlan
• Model data in dbt using staging, intermediate and mart layers
• Work with analysts to define metrics and fix discrepancies between reports
• Build batch and streaming pipelines with Airflow, Dagster or Prefect

Requirements:

• 1-2 years of data engineering, or backend work with data at volume
• Familiarity with Git, CI/CD and testing practices for data code
• Working knowledge of AWS, GCP or Azure data services
• Strong Python for data processing
• Hands-on with an orchestration tool such as Airflow
• Understanding of dimensional modelling and slowly changing dimensions

Pluses:

• Reverse ETL tools like Hightouch or Census
• Kafka, Flink or Spark Structured Streaming
• Terraform for data infrastructure

What we offer:

• Flexible schedule

Duration: 6 months. Start: Immediately.

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