Remote Cloud Data Platform Engineer (AWS/Snowflake)

Andersen; Warszawa, Kraków; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Private health insurance

Annual bonus

Monthly bonus up to 1000 USD

Corporate training portal

Referral program

Sports compensation

Remote or hybrid work options

Job summary

Andersen is hiring a Solution Engineer to design and deploy a cloud-native data platform for scalable data processing, analytics, AI, and business intelligence. The role focuses on building data pipelines and integrations on AWS and Snowflake, collaborating with stakeholders to translate requirements into robust data solutions while embracing DevOps and AI-assisted development practices.

You will own end-to-end delivery, ensure security and governance, and contribute to enterprise-wide analytics

Qualifications

• 7+ years experience in software/solution/data engineering.
• Strong hands-on AWS core services and architecture.
• Strong Snowflake data modelling, optimization, governance.
• Proficiency in Python and/or Java.
• Experience building production-grade systems in enterprise environments.
• Knowledge of CI/CD, DevOps, Git workflows, IaC.
• Strong software engineering principles and best practices.
• Experience designing scalable data pipelines and data products.
• Ability to work end-to-end: architecture, development, deployment, operations.
• Strong communication and stakeholder collaboration skills.
• English level - Upper-Intermediate and above.

Responsibilities

• Designing, building, and operating production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.
• Designing and implementing reliable, scalable, secure, and well-governed data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources.
• Modeling, curating, and optimizing Snowflake datasets, schemas, and data structures in line with enterprise platform standards, ensuring performance, quality, consistency, and usability for downstream consumers.
• Applying strong software engineering practices, including clean code, modular design, automated testing, CI/CD, observability, secure development, and maintainable architecture.
• Partnering with business and technical stakeholders to translate requirements into robust data solutions, prioritize delivery, and identify opportunities to enable advanced analytics and AI use cases.
• Using AI-assisted engineering as a standard part of daily development work to accelerate coding, refactoring, documentation, testing, debugging, and solution exploration while maintaining strong engineering judgement and quality standards.
• Building cloud-native integrations and automation on AWS, making effective use of services such as compute, storage, networking, security, orchestration, event-driven architectures, and managed AI services where appropriate.
• Owning deployment, release, and production operations, including troubleshooting, root-cause analysis, performance tuning, incident resolution, peer code reviews, pair programming, and reuse of proven engineering patterns.

Skills

Python

Java

AWS

Snowflake

Data pipelines

CI/CD

DevOps

English

Tools

Git

Terraform

CI/CD tools

Job description

Andersen is hiring a Solution Engineer to design and deploy a cloud-native data platform for scalable data processing, analytics, AI, and business intelligence. The role focuses on building data pipelines and integrations on AWS and Snowflake, collaborating with stakeholders to translate requirements into robust data solutions while embracing DevOps and AI-assisted development practices.

You will own end-to-end delivery, ensure security and governance, and contribute to enterprise-wide analytics