Data Engineer (Spark)

AN Apps has an opening for a Data Engineer (Spark). 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. You will be employed through our employer-of-record partner in Saudi Arabia, with a local contract and salary paid in local currency. You will need at least 4 hours of overlap with US Central time. We use Slack, Notion and Google Meet. Cameras on for team calls.

What you'll be doing:

• Build batch and streaming pipelines with Airflow, Dagster or Prefect.
• Work with analysts to define metrics and fix discrepancies between reports.
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg.
• Handle PII according to retention, masking and access policies.
• Tune slow queries and expensive jobs.
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python.

Required qualifications:

• 2+ years of data engineering, or backend work with data at volume.
• Hands-on with an orchestration tool such as Airflow.
• Understanding of dimensional modelling and slowly changing dimensions.
• Expert SQL, including window functions and query tuning.
• Familiarity with Git, CI/CD and testing practices for data code.
• Patience with messy source data and the habit of documenting assumptions.

What we offer:

• Monthly internet allowance.
• 24 days paid time off.
• Annual learning budget.
• Wellness allowance.
• Annual salary review.

Company overview:

Profitable, no outside investors, and no plans to take any. We grow when customers pay us. Two developers, a designer and a support lead make up most of the company, so everyone touches the product.

We will only contact shortlisted applicants.

Please submit your CV in English.

Start: Flexible.

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