Solution Engineer

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 for a project building a cloud-native data platform supporting scalable data processing, analytics, AI, and business intelligence solutions.

The customer is a global investment management firm providing tailored investment solutions to institutional and private clients. It combines financial expertise with long-term investment strategies to help clients achieve their objectives while adapting to changing market conditions. The organization focuses on innovation, responsible investing, and operational excellence, continuously enhancing its capabilities to deliver sustainable value and support long-term growth.

The project is focused on building a modern cloud-native data platform that enables reliable, scalable, and secure data processing across structured, semi-structured, and unstructured data sources. It involves developing high-quality data pipelines, data products, and integrations on AWS and Snowflake while supporting enterprise-wide analytics, AI, and business intelligence initiatives.

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.

Must-haves:

• Experience in software / solution / data engineering for 7+ years.
• Strong hands-on AWS experience (core services + architecture).
• Strong hands-on Snowflake experience (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, Infrastructure-as-Code.
• Strong understanding of 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.
• Level of English - from Upper-Intermediate and above.

Nice-to-haves:

• AWS certifications (Solutions Architect, Data Engineer, ML Engineer).
• Snowflake certifications (SnowPro Core or advanced).
• Experience with AWS AI services (e.g., Amazon Bedrock).
• Experience with RAG, agent-based AI systems, and responsible AI practices.
• Familiarity with AI-assisted development methodologies (e.g., prompt engineering, evaluation loops).
• Financial industry background.
• Experience with data governance, risk, and regulatory environments.

Reasons why this job would be interesting to you:

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions - you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and compensation for sports activities.

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