Python Data Engineer Id82554

Agileengine
Zaragoza, Spain
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Airflow Data Validation Database Queries Python (Programming Language) Standard Sql Software Engineering Data Streaming Systems Integration Data Processing Data Storage Technologies Data Ingestion
+5 more
Delivery Pipeline Snowflake Backend Data Pipelines Servicenow

Job description

AgileEngine is an Inc. ** 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 USIf 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 ROLEWe are looking for a Python Data Engineer to engineer, automate, and manage robust data ingestion workflows within an Enterprise Service Management team, ensuring seamless integration with downstream systems including ServiceNow.You will leverage Python for workflow development, Snowflake for data storage and optimization, OpenTelemetry for observability, and strong SQL skills for data manipulation and validation across end-to-end pipelines.The role requires 4+ years of backend Python experience with hands-on data pipeline and ServiceNow integration expertise.WHAT YOU WILL DOEngineer, automate, and manage robust workflows that ingest data.Ensure data pipelines integrate seamlessly with downstream systems.Build and maintain reliable integrations with ServiceNow.Leverage Snowflake and OpenTelemetry to optimize data flow and system observability.Troubleshoot and resolve bottlenecks or failures within automated data pipelines.Implement data validation checks and maintain data integrity across all workflows.MUST HAVES4+ years of backend development experience using Python .Experience building data ingestion workflows and pipelines .Hands-on experience with Snowflake and OpenTelemetry .Proven ability to build integrations with ServiceNow .Strong SQL skills for data manipulation and querying.Upper-Intermediate English level.NICE TO HAVESExperience with data orchestration tools (e.G., Apache Airflow, Prefect, or Dagster).Familiarity with ITSM best practices and ITIL frameworks.Knowledge of building and managing CI/CD pipelines for data products.PERKS AND BENEFITSGrowth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budgetCompetitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviewsFlexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythmMeaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brandsCollaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognizedWell-being & support: access local well-being programs and people-focused support tailored to your location#J-***-Ljbffr

Requirements

ABOUT THE ROLEWe are looking for a Python Data Engineer to engineer, automate, and manage robust data ingestion workflows within an Enterprise Service Management team, ensuring seamless integration with downstream systems including ServiceNow. You will leverage Python for workflow development, Snowflake for data storage and optimization, OpenTelemetry for observability, and strong SQL skills for data manipulation and validation across end-to-end pipelines. The role requires 4+ years of backend Python experience with hands-on data pipeline and ServiceNow integration expertise.WHAT YOU WILL DOEngineer, automate, and manage robust workflows that ingest data.Ensure data pipelines integrate seamlessly with downstream systems.Build and maintain reliable integrations with ServiceNow.Leverage Snowflake and OpenTelemetry to optimize data flow and system observability.Troubleshoot and resolve bottlenecks or failures within automated data pipelines.Implement data validation checks and maintain data integrity across all workflows.MUST HAVES4+ years of backend development experience using Python . Experience building data ingestion workflows and pipelines . Hands-on experience with Snowflake and OpenTelemetry . Proven ability to build integrations with ServiceNow . Strong SQL skills for data manipulation and querying.Upper-Intermediate English level.NICE TO HAVESExperience with data orchestration tools (e.G., Apache Airflow, Prefect, or Dagster). Familiarity with ITSM best practices and ITIL frameworks.Knowledge of building and managing CI/CD pipelines for data products.PERKS AND BENEFITSGrowth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budgetCompetitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviewsFlexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythmMeaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brandsCollaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognizedWell-being & support: access local well-being programs and people-focused support tailored to your location#J-*****-Ljbffr

About the company

Zaragoza, España

AgileEngine is an Inc. ** 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 USIf you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!

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