Data Engineer - Snowflake

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.

Role overview:

Our team is growing and we are hiring a Data Engineer - Snowflake. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. This is a full-time remote role. We use an employer of record in Albania, so you get a proper employment contract, not a freelance agreement. Core hours are 10:00 to 15:00 CET. We talk mostly in Slack and hop on quick calls when something needs discussing.

Day to day:

• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python
• Tune slow queries and expensive jobs
• Document datasets and lineage in a catalogue such as DataHub or Atlan
• Write data quality tests with dbt or Great Expectations and alert on failures
• Build batch and streaming pipelines with Airflow, Dagster or Prefect
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg
• Maintain CI for data code and review pull requests
• Work with analysts to define metrics and fix discrepancies between reports

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
• Strong Python for data processing

ALL 360,000 - ALL 460,000/month

Compensation and benefits:

• Paid sick days
• Wellness allowance
• Annual learning budget
• Company laptop
• Performance bonus
• Two weeks of paid leave at year end
• Annual team retreat

Applications are reviewed weekly.

Start: Immediately.

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