Data Engineer ID94415

AgileEngine; Lublin; Hybrid; PLN 473,000 - 709,000; Full time

Benefits offered by this job

Professional growth

Competitive pay

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Engineer to drive large-scale data platform migrations to Snowflake and to support reliable Apache Airflow workflows. You will work within the data engineering function to migrate approximately 1,000 datasets to Snowflake and adapt existing pipelines to the new platform.

Join a people-first team delivering modern data solutions for Fortune 500 brands and startups, with flexible remote/office options and USD-based compensation.

Qualifications

• 3+ years of hands-on Python development.
• Advanced SQL with complex joins, CTEs, window functions and performance tuning.
• Snowflake data modeling experience.
• Airflow pipelines development and testing.
• Kafka and Spark experience (PySpark).
• Experience with Iceberg and Parquet formats.
• AWS experience with S3 data lakes, partitioning and lifecycle policies.
• Experience with large-scale datasets and testing/debugging.
• Overlap until 12 PM Pacific Time.
• Upper-intermediate English proficiency.

Responsibilities

• Execute large-scale data platform migrations to Snowflake.
• Support reliable Airflow workflows and scheduling.
• Migrate ~1,000 datasets to Snowflake.
• Adapt pipelines to Snowflake architecture.
• Ensure data quality and reliability during migrations.
• Collaborate with data platform team on modernization.
• Contribute to milestones by end of March 2027.

Skills

Python development

Advanced SQL

Snowflake data modeling

Apache Airflow

Apache Kafka

Apache Spark

PySpark

Iceberg/Parquet

AWS S3

Large-scale datasets

Testing & debugging

English proficiency

Tools

Snowflake

Airflow

Kafka

Spark

PySpark

Iceberg

Parquet

AWS S3

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.
• Apache Kafka.
• Apache Spark, including hands-on PySpark experience.
• 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.
• Upper-intermediate English level.

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).
• Experience using AI tools for development.

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

Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview. Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.