Data Engineer – Mid - Capon Bridge
2 days ago
Job description
Data Engineer – Mid & Senior - 4 vacancies
Cloud ETL & Platform Development
Hybrid in Warsaw (3 days/week onsite required) | Full-time | B2B contract up to $7,800/month
About the Role
Our client is a US-based technology company headquartered in New York City, delivering digital solutions and consulting services that transform businesses and drive measurable value. With offices in multiple countries, the company is now investing in a new engineering centre in Warsaw, recognizing the strong talent and culture of Polish software professionals.
We are looking for a highly motivated and self-driven Data Engineer to join a fast-growing data platform team. In this role, you will design, build, and maintain robust, scalable, and cloud-native ETL infrastructure and data pipelines, enabling real-time analytics and AI-ready architecture for high-performance business applications.
This is a hybrid position — you will be expected to work from the Warsaw office at least 3 days per week.
Key Responsibilities
Design, develop, and deploy Python-based ETL pipelines using Airflow and Prefect
Build and optimize data warehouse structures for analytics, OLAP, and dimensional modeling
Model AI-compatible DB schemas and ontologies for future-facing analytics
Migrate and transform structured, semi-structured, and unstructured data using DBT and Pandas
Work with streaming/event-driven architectures for real-time data processing
Optimize pipeline performance and scalability for large data volumes
Ensure data quality, validation, cleansing, and graceful error handling
Perform code reviews to ensure standards, scalability, and best practices
Collaborate with DevOps on CI/CD and automated release pipelines
Implement data governance, security, and observability across ETL processes
Key Requirements
5+ years of experience designing and building enterprise-scale ETL pipelines
Strong Python skills, including use of Pandas for data processing
Proficient in SQL — writing complex queries and procedures across RDBMSes
Experience with Airflow, Prefect, or similar workflow orchestration tools
Solid understanding of data warehousing (OLTP, OLAP, Facts & Dimensions)
Familiarity with cloud-based data platforms such as RDS, Redshift, or Snowflake
Knowledge of cloud data architectures, messaging systems, and scalable design
Hands-on experience with code versioning, deployment automation, and CI/CD
Preferred Qualifications
Experience with Docker, Kubernetes, AWS Lambdas, Step Functions
Exposure to Databricks, PySpark, and advanced distributed data processing
Cloud certifications are a plus
What's Offered
B2B contract with monthly compensation up to $7,800
Strong career growth opportunities in a global fintech environment
High-impact projects in a fast-growing sector
Friendly, open, and ambitious team culture
Hybrid model – minimum 3 days/week in the Warsaw office
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