futureproof - Data Solutions Developer

Data Scientist is needed in Prague, Czechia.

Client: futureproof

Location: Prague, PR, cz

Contract: Contract

Job Description

Our client — a global pharmaceutical leader — is seeking a hands-on ETL & Data Solutions Developer. You will design, build, and maintain scalable ETL processes and data solutions that enable high-quality insights across the organization.

Key Responsibilities

• Design, develop, and maintain ETL pipelines in Python to extract, transform, and load data from diverse source systems into target data stores.
• Implement and optimize data workflows on AWS (e.g., Lambda, Glue, S3, Step Functions) for scalability, reliability, and cost-efficiency.
• Develop and maintain RESTful APIs in TypeScript (using Node.js frameworks) to support data access and analytics.
• Write and optimize complex SQL queries and PLSQL functions for data transformation, validation, and reporting.
• Implement unit, integration, and regression tests for ETL jobs, APIs, and transformations to ensure accuracy and reliability.
• Monitor, troubleshoot, and improve data pipelines and services, including performance tuning, error handling, and root-cause analysis.
• Collaborate closely with data analysts, architects, and business stakeholders to translate data requirements into technical solutions.
• Ensure data quality and governance by maintaining clear technical documentation for ETL jobs, APIs, schemas, and data flows.
• Apply data analytics concepts to validate data, support reporting needs, and derive insights from datasets.
• Follow best practices for security, coding standards, and DevOps, including version control, CI/CD, and environment management.

Requirements

• Strong hands-on experience with Python for ETL and data processing.
• Practical experience with AWS data engineering services (Lambda, Glue, S3, Step Functions, etc.).
• Solid experience in TypeScript and building RESTful endpoints.
• Proficiency in SQL and PLSQL (functions, procedures, performance tuning).
• Experience in testing (unit, integration, regression) for code and data pipelines.
• Familiarity with data analytics and working with large datasets.
• Knowledge of version control (e.g., Git) and CI/CD practices.
• Strong communication skills and ability to work effectively in cross-functional teams.

Benefits

• Location: Prague Smíchov
• Work Model: Hybrid (2 days onsite, 3 days remote)
• Contract Type: Freelance / Contract
• Rate: max. 6500 CZK/MD