Data Engineer (AWS) for Snowflake Migrations & Airflow

AgileEngine, LLC.; Sevilla; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. You will work with the data platform team to migrate ~1,000 datasets and adapt pipelines to Snowflake architecture.

The role emphasizes data quality, performance tuning, and collaboration across teams, with a target completion by end of March 2027. Remote-friendly with hybrid options in Sevilla and beyond.

Qualifications

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

Responsibilities

• Work embedded within the data engineering function, partnering closely with the data platform team to support a large-scale data platform modernization effort.
• Execute the migration of approximately 1,000 datasets to Snowflake.
• Adapt existing pipelines to Snowflake, following the core architecture and technical approach defined by the internal team.
• Ensure data quality and reliability throughout the migration process.
• Support workflow scheduling and monitoring in Apache Airflow 3.
• Execute time-sensitive migrations, including Airflow 2 to 3, Confluent region migration, and the move to Iceberg.
• Help accelerate the migration initiatives targeted for completion by the end of March 2027.

Skills

Python

SQL

Snowflake

Apache Airflow

Spark

AWS S3

Iceberg

Parquet

Data modeling

Tools

Snowflake

Apache Airflow

Apache Spark

Iceberg

Parquet

AWS S3

Job description

AgileEngine is seeking a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. You will work with the data platform team to migrate ~1,000 datasets and adapt pipelines to Snowflake architecture.

The role emphasizes data quality, performance tuning, and collaboration across teams, with a target completion by end of March 2027. Remote-friendly with hybrid options in Sevilla and beyond.