Data Engineer

Data Engineer

Hybrid | Prague, Czech Republic

I'm currently working with a global organisation that is investing heavily in its data and AI capabilities and is looking to add a Data Engineer to its growing practice.

This is an opportunity to join a team responsible for building and supporting large-scale data platforms that underpin analytics, customer intelligence, digital products and business-critical decision-making. You'll work with modern cloud technologies, develop scalable data pipelines, and help drive the evolution of a highly sophisticated data environment.

Key Responsibilities

• Design, develop and maintain scalable data pipelines and integration solutions.
• Build and enhance data products that support analytics, reporting and business decision-making.
• Develop solutions for processing and managing large data volumes across multiple platforms.
• Integrate new data sources and support evolving business requirements.
• Contribute to automation initiatives and AI-enabled data engineering capabilities.
• Collaborate with data, engineering and business stakeholders to deliver reliable and scalable solutions.
• Support DevOps and CI/CD practices to improve platform reliability, deployment processes and overall performance.

Required Experience

• Experience in Data Engineering, Data Operations or a similar role.
• Strong Python development skills.
• Advanced SQL knowledge and understanding of data warehousing concepts.
• Experience building ETL/ELT pipelines and working with large datasets.
• Hands-on experience with Databricks, Spark or PySpark.
• Exposure to Snowflake and cloud-based data platforms.
• Knowledge of Azure is advantageous.
• Experience with Git, CI/CD pipelines and software engineering best practices.
• Strong problem-solving skills and the ability to engage effectively with technical and non-technical stakeholders.

If you are interested in this position, please apply!