Snowflake Data Engineer

We are looking for a Data Engineer to support the development and optimisation of our Snowflake-based data warehouse and the pipelines powering our core business applications. You will work across Java, SQL, Python/TypeScript, ETL/ELT processes, and Salesforce integrations, helping us bring structure, reliability, and cost efficiency to a fast-growing data ecosystem.

✅ Your responsibilities:

• Develop, maintain, and optimise the Snowflake data warehouse, ensuring cost efficiency and performance.

• Build and improve data ingestion processes (ETL/ELT), primarily between Salesforce and Snowflake.

• Implement backend components in Java supporting data workflows and integrations.

• Work with SQL, Python/TypeScript to support data transformations, automation, and validation.

• Collaborate with Data Engineering, Product, and Application teams (React/Node/TypeScript) to define data requirements and integration patterns.

• Ensure data privacy and proper handling of sensitive information (PII).

• Prepare documentation to support offshore maintenance teams and enable smooth handovers.

• Contribute to a pragmatic engineering culture focused on execution and measurable business value.

  
  

🧠 Our requirements:

• Solid hands-on experience working with Snowflake (architecture, performance optimisation, credit usage efficiency).

• Strong SQL skills and experience designing or maintaining ETL/ELT pipelines.

• Knowledge of data modelling for analytics and warehouse environments.

• Experience integrating Salesforce data into analytical systems.

• Practical experience with Java in data-related or backend components.

• Familiarity with Python or TypeScript for data processing tasks.

• Ability to work in distributed teams and communicate clearly with both technical and non-technical stakeholders.

• Pragmatic mindset oriented toward delivery rather than building unnecessary complexity.

Nice to have

• Experience with tools such as DBT, Airflow, Fivetran, or similar pipeline orchestration tools.

• Background in environments with strict privacy and data handling requirements.

• Experience supporting offshore or distributed engineering teams.

🌟 What we offer:

• Remote type of work

• Long-term cooperation

• Engaging projects with real impact

• Supportive, experienced team and modern development environment

• Opportunities for continuous learning and growth