Data Engineer II - Analytics Engineering

A bit about us:

Customers who call us usually reach someone who wrote the code they are asking about. Two developers, a designer and a support lead make up most of the company, so everyone touches the product. Most engineers work remotely and come into the office one week a quarter for planning.

About the role:

The person in this role is relocating, so we are hiring a replacement. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. Everard Software needs someone who writes solid SQL and Python and treats pipelines like production software. This role is remote. You need a reliable internet connection and somewhere quiet to work.

Duties:

• Document datasets and lineage in a catalogue such as DataHub or Atlan.
• Handle PII according to retention, masking and access policies.
• Work with analysts to define metrics and fix discrepancies between reports.
• Build batch and streaming pipelines with Airflow, Dagster or Prefect.
• Respond to pipeline failures and backfill data when needed.
• Manage warehouse objects, roles and spend in Snowflake, BigQuery or Redshift.

What we're looking for:

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

Why work with us:

¥3,700,000 - ¥4,200,000 annually

• Paid leave.
• Remote work allowed.
• Bonus twice a year.
• Flexible hours.
• Social insurance.

Tell us your notice period and what salary you are looking for.

We look at every application, usually within a week.

Start: Immediately.

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