Data Engineer

Your role

As a Data Engineer, you will be the architect of our data foundations. You will design, build, and maintain the pipelines that power our mission, moving between hands-on delivery and long-term platform evolution. From improving data discoverability to partnering with Data Scientists and Product managers, you’ll ensure our data is reliable, accessible, and ready to scale.

Your mission

Salv builds technology that helps financial institutions detect and prevent financial crime. As our product usage grows, so does the volume and importance of our data. Today, our systems generate more information than we can comfortably analyze—your mission is to change that.

You will build the infrastructure that lets the company use this information effectively. You’ll unlock new data-driven value for customers, support internal analytics, and shape a long-term data platform that scales with global demand.

Location

Preferred location: Tallinn or Tartu, Estonia. You must be an Estonian tax resident. We do not offer relocation assistance and/or visa sponsorship for this role.

Your profile

Experience & Skills

• 5+ years’ experience as a Data Engineer or in a similar role.
• Strong experience with AWS data services, specifically S3, Glue, and Redshift (or equivalent stack).
• Proven ability to design and maintain data pipelines for both analytics and operational use.
• Solid SQL skills and deep experience with data modeling and performance optimization.
• Expertise in handling datasets, including both structured and semi-structured data.
• Practical approach to data quality, lineage, and maintainability.
• Clear communication skills and the ability to work effectively with analytics, engineering, and product teams.
• Comfortable in a “builder” environment, balancing quick improvements with long-term platform design.
• Self-driven and collaborative, able to work independently while remaining a strong team player.

Nice to have

• Familiarity with Amazon Athena.
• Experience with modern orchestration tools such as dbt, Airflow, or Dagster.
• Experience building internal data frameworks or self-service tooling.
• Background supporting customer-facing reporting or analytics features.
• Understanding of event-driven or streaming systems.
• Awareness of ML pipelines or feature engineering.

A sneak peek into our tech stack:

• Storage: AWS S3 (primary data lake)
• Data processing: AWS Glue
• Warehouse: Amazon Redshift
• Orchestration: AWS-native workflows (with future evolution expected)
• Languages: Python, SQL, and internal scripts
• Future potential: Looking into dbt, Airflow, or Dagster

What skills will make you successful

The kind of engineers that will thrive at Salv:

• Enjoy impact-driven building. You like creating systems that provide both immediate value and long-term stability.
• Balance speed and design. You can deliver fast improvements without sacrificing thoughtful, maintainable architecture.
• Communicate with clarity. You work well across different disciplines and can explain data complexities to various stakeholders.
• Take extreme ownership. You drive improvements without needing close supervision and take responsibility for the data lifecycle.
• Value simplicity. You prefer simple, practical solutions over unnecessary complexity.

What does success look like after 6 months?

• Improved Accessibility: You’ve made key datasets easier and faster for the internal analytics team to access.
• Reliable Foundations: You’ve delivered the first set of pipelines that reduce manual data prep and improve consistency.
• Standards & Quality: You’ve established clearer naming, structure, and quality standards for core datasets.
• Strategic Roadmap: You’ve identified major bottlenecks and proposed a realistic roadmap for the future data platform.
• Insights & Relationships: You’ve built strong ties with the product team, providing early insights that help prioritize our global fight against financial crime.