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

Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers

• Senior
• Docker
• Kubernetes
• Python
• +1

Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.

• Middle
• AWS
• Azure
• GCP
• +2

Build and maintain dbt models and core datasets that support Accounting reporting and downstream automation use cases.

• Python
• REST
• Snowflake
• +1

Accountability for the design and development of an internal product

• Lead
• Golang
• Java
• Python

Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives.

• Senior
• AWS
• Kubernetes
• Python
• +2

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.

• Lead
• AWS
• Azure
• Java
• +5

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role

• Lead
• AWS
• Azure
• Java
• +5

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role

• Lead
• AWS
• Azure
• Java
• +5

Work across the entire Linux stack, from kernel, networking, storage, to applications,

• AWS
• Azure
• GCP
• +4

Accountability for the design and development of an internal product

• Lead
• Golang
• Java
• Python
• +1

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

• Senior
• React
• AI
• Android
• +14

Ship React/TypeScript map workspace features (layers, annotations, timelines, overlays).

• Middle
• Kubernetes
• Next.js
• Node.js
• +3

Own the full lifecycle of predictive models in production — architecture, training pipelines, inference infrastructure, deployment, and ongoing model health

• Senior
• Python
• SQL

Enhancing high availability and elasticity so the system can scale automatically and efficiently as our customer base grows. It should make capacity decisions transparently and safely, without manual intervention.

• Middle
• AWS
• CI/CD
• GCP
• +4

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

• Lead
• AI
• Android
• Flutter
• +12

Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.

• Senior
• Python
• SQL

Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.

• Senior
• AWS
• CI/CD
• Docker
• +3

Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems

• Senior
• AWS
• Golang
• Python
• +1

Build ML prototype vertical slices that connect ingest/processing to inference and visible product outcomes (search, insights, UX flows).

• Senior
• Kubernetes
• Python
• Spark