Data Engineer ID94415

AgileEngine, LLC.; Kraków; Hybrid; PLN 352,000 - 587,000; 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 embedded within the data engineering function, migrate roughly 1,000 datasets to Snowflake, adapt pipelines, ensure data quality, and help accelerate modernization efforts by the end of March 2027.

Qualifications

• 3+ years of hands-on Python development experience.
• Advanced SQL with complex joins, CTEs and window functions.
• Snowflake data modeling and Snowflake migrations experience is expected.
• Proficient in Apache Airflow and Python for pipelines.
• Experience with Iceberg/Parquet formats and AWS S3 data lakes.
• Testing strategy experience with hands-on debugging and testing.
• 2+ years of industry experience with large-scale datasets including Airflow and Spark.
• Ability to overlap work hours with Pacific Time until 12 PM.

Responsibilities

• Execute migration of large-scale data platform to Snowflake.
• Support reliable Airflow workflows and scheduling.
• Adapt existing pipelines to Snowflake following defined architecture.
• Ensure data quality and reliability during migration.
• Lead time-sensitive migrations including Airflow upgrades and Iceberg adoption.
• Collaborate with data platform team to accelerate modernization by March 2027.

Skills

Python

Advanced SQL

Snowflake

Airflow

AWS S3

Testing

Spark

Batch processing

Tools

Iceberg

Parquet

Airflow

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.

MUST HAVES

• Strong software engineering fundamentals.
• 3+ years of hands-on Python development experience.
• Advanced SQL, including complex 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, 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.

NICE TO HAVES

• Hands-on experience with Snowflake migrations (data warehouse modernization, performance and cost optimization).
• Experience with Apache Airflow migrations (version upgrades, executor changes, or platform migrations).

WHAT YOU WILL DO

• 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.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.