AWS Data Engineer: Scale Pipelines & ML Readiness

Cyclad; Województwo mazowieckie; Remoto; PLN 193.000 - 234.000; Tempo integral

Benefícios oferecidos por esta vaga

Private medical care

Multisport card

Life insurance

Resumo da vaga

Cyclad is seeking an experienced AWS Data Engineer to join our growing data team. You will support daily operations, build scalable pipelines using AWS, PySpark, SQL, and dbt, and own ingestion processes from Rails-based sources. The role offers a remote Poland-friendly setup and a project through mid-2027 with potential extension.

You will work with Redshift, SageMaker, and Looker, focusing on reliability, cost optimization, and data quality. Fluency in English (B2) is required.

Qualificações

• 4+ years in data engineering, with ownership of a production warehouse.

Responsabilidades

• Support daily platform operations, including pipeline failures, data fixes, and new data requests.
• Build, maintain, and optimize data pipelines using AWS, PySpark, SQL, and dbt.
• Develop and maintain ingestion processes (including new sources from the Rails service databases on Aurora Postgres and SQS).
• Own and evolve Segment tracking, event schemas, and downstream data integrations.
• Ensure consistency between Redshift and platforms such as Braze, Amplitude, AppsFlyer, and Looker.
• Optimize Redshift performance and cost.
• Maintain ML models, build feature pipelines and training datasets for new ones, and productionize on SageMaker.
• Support AI projects, including LLM-based tools and SQL/tracking specs.
• Manage the platform as code (AWS SAM and CloudFormation) and contribute to CI/CD automation.
• Agree metric definitions with analytics, finance, and product, and keep them consistent in the warehouse and Looker.
• Improve dbt project with the analytics team: incremental models, source freshness checks, and broader tests.
• Review code and mentor a junior engineer.

Conhecimentos

SQL

Python

PySpark

AWS

dbt

Redshift

Looker

Airflow

SageMaker

English (B2)

CI/CD

Terraform

Ferramentas

dbt

Airflow

Looker

SageMaker

Terraform

CloudFormation

SAM

AWS

Descrição da vaga

Cyclad is seeking an experienced AWS Data Engineer to join our growing data team. You will support daily operations, build scalable pipelines using AWS, PySpark, SQL, and dbt, and own ingestion processes from Rails-based sources. The role offers a remote Poland-friendly setup and a project through mid-2027 with potential extension.

You will work with Redshift, SageMaker, and Looker, focusing on reliability, cost optimization, and data quality. Fluency in English (B2) is required.