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AgileEngine

We build products for companies in 17+ industries - solving real problems and improving millions of lives worldwide. Here, your voice matters, your work creates impact, and your growth is part of our journey together.

ID71670

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 Senior Data Engineer to architect, build, and scale a modern data platform - designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse schemas, and establishing robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and lineage frameworks, integrate third-party REST APIs and event-driven sources, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories. The role prioritizes clean, well-tested Python code and a deep commitment to data reliability and accessibility.

What you will do

  • Design, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources;

  • Design production-ready normalized and denormalized schemas in Snowflake to optimize query performance and support enterprise analytics;

  • Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into core data storage platforms;

  • Maintain and expand workflow orchestration pipelines using Airflow, Prefect, or Dagster;

  • Implement automated data testing, validation, lineage tracking, and proactive alerting frameworks to ensure data accuracy and system uptime;

  • Drive CI/CD best practices, maintain codebases using Git and Docker, and adopt Infrastructure-as-Code patterns;

  • Apply modern software engineering standards, including design patterns, automated unit and integration testing, and clear documentation.

Must haves

  • 4+ years of experience as a Data Engineer;

  • Strong proficiency in Python, including modular, maintainable, and well-tested code;

  • Advanced knowledge of SQL, query optimization, database design principles, and normalization/denormalization patterns;

  • Hands-on experience with Snowflake;

  • Production experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster;

  • Experience working with REST APIs, event-driven architectures, and batch and streaming pipelines;

  • Experience implementing automated data quality checks, data lineage, and alerting mechanisms;

  • Strong experience with Git, Docker, CI/CD automation, and Infrastructure-as-Code fundamentals;

  • Upper-intermediate English level.

Nice to haves

  • Experience with dbt for data transformations;

  • Familiarity with major cloud platforms such as AWS, GCP, or Azure;

  • Experience with message streaming technologies such as Apache Kafka or AWS Kinesis.

The benefits of joining us

  • Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

  • Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

  • A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

  • Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage - An automated, self-paced track that helps us move faster and give you quicker feedback:

  • Short online form to confirm basic requirements

  • 30-60 minute skills assessment via Codility - a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.

  • 5-minute introduction video

Synchronous stage - Live interviews

  • Technical interview with our engineering team (scheduled at your convenience)

  • Final interview with your future teammates

If it's a match - you'll get an offer!

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Kraków
Remote work
Remote
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Full-Time

Compensation

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$70k – $93k per year