Data Engineer: Snowflake Migrations & Airflow Expert Remote

AgileEngine, LLC.; Porto; Hybrid; EUR 107,000 - 143,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine in Porto, Portugal is seeking a Data Engineer to lead large-scale migrations to Snowflake and sustain reliable Airflow-based data workflows. You will work within the data engineering function to move about 1,000 datasets and adapt pipelines for Snowflake while ensuring data quality and operational reliability.

The role requires 3+ years of Python development, advanced SQL, Snowflake data modeling, Airflow expertise, and experience with Iceberg/Parquet formats and AWS S3.

Qualifications

• 3+ years of hands-on Python development experience.
• Advanced SQL, including joins, CTEs, window functions, and performance tuning.
• Snowflake data modeling.
• Apache Airflow — developing and testing pipelines in Airflow and Python.
• Iceberg and Parquet data formats.
• AWS experience, particularly S3 (data lakes, partitioning, lifecycle).
• Testing strategy experience with hands-on debugging and testing code.
• At least 2 years of industry experience with large-scale datasets, including Airflow and Spark.
• Overlap until 12 PM Pacific Time.

Responsibilities

• Support large-scale data platform modernization within the data engineering function.
• Migrate approximately 1,000 datasets to Snowflake.
• Adapt pipelines to Snowflake following internal architecture and approach.
• Ensure data quality and reliability during migration.
• Support workflow scheduling and monitoring in Apache Airflow 3.
• Execute time-sensitive migrations including Airflow 2 to 3 and Iceberg transition.
• Drive migration initiatives toward completion by March 2027.

Skills

Python

Advanced SQL

Airflow

Spark

Snowflake

Iceberg

Parquet

AWS S3

Testing

Timezone overlap

Tools

Snowflake

Airflow

Spark

Job description

AgileEngine in Porto, Portugal is seeking a Data Engineer to lead large-scale migrations to Snowflake and sustain reliable Airflow-based data workflows. You will work within the data engineering function to move about 1,000 datasets and adapt pipelines for Snowflake while ensuring data quality and operational reliability.

The role requires 3+ years of Python development, advanced SQL, Snowflake data modeling, Airflow expertise, and experience with Iceberg/Parquet formats and AWS S3.