Solution Engineer

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Чем предстоит заниматься

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

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

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

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

Дополнительно

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