Roles remotos de TI para candidatos en Polonia.

Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.

• Senior
• LLM
• Python
• Salesforce
• +1

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Building and maintaining a data platform for the public transport industry — designing scalable ELT pipelines in BigQuery using dbt, handling real-time data (GTFS-RT)

• Senior
• Python

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

• Senior
• AWS
• Azure
• CI/CD
• +3

Design, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.

• Senior
• Python
• SQL

Build and scale data pipelines for product events, usage data, and customer datasets.

• Middle
• PostgreSQL
• Python
• SQL

Cultivated a community of more than 650,000 active developers and builders

• Senior
• CI/CD
• Python
• SQL

Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.

• Middle
• AWS
• Azure
• GCP
• +5

Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards

• Senior
• AWS
• Python
• Snowflake
• +1

Q3 2026 - from September, 3-month notice period accepted

• Junior
• Python
• REST
• Snowflake
• +1

Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.

• Senior
• AWS
• Docker
• LLM
• +4

Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

• Senior
• CI/CD
• Python
• SQL

Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes

• Senior
• AWS
• CI/CD
• Python
• +1

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Senior
• AWS
• Azure
• CI/CD
• +7

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Lead
• AWS
• Azure
• CI/CD
• +7

Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data.

• Senior
• Python
• Snowflake
• SQL

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025

• Senior
• CI/CD
• Golang
• Java
• +4

Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources

• Senior
• Java
• Python
• Snowflake
• +2