Senior Data Engineer

We are looking for a Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines that support analytics, AI, digital transformation, and business-critical applications.

What You'll Do

• Design, develop, and maintain scalable batch and real-time data pipelines using modern data engineering and big data technologies.
• Build and optimize data platforms, including data warehouses, data lakes, and lakehouse solutions, to support analytical and operational use cases.
• Work closely with Product Owners, Architects, Data Scientists, Software Engineers, Analysts, and customers to translate business requirements into reliable and scalable data solutions.
• Develop data models, ETL/ELT processes, and data transformation workflows for large-scale and complex datasets.
• Build reusable data engineering libraries, frameworks, and components to improve development efficiency and solution scalability.
• Implement data quality, validation, governance, lineage, monitoring, testing, and security practices.
• Deploy, operate, troubleshoot, and optimize production data solutions for performance, scalability, reliability, and cost.
• Apply cloud technologies and engineering best practices, including Git, CI/CD, automated testing, monitoring, and DevOps.
• Contribute to technical architecture, documentation, knowledge sharing, and continuous improvement across digital transformation projects.

What We're Looking For

• 6+ years of hands-on experience in Data Engineering, Data Platforms, or a related engineering role.
• Strong hands-on experience with Python and SQL, with experience in ETL/ELT and data pipeline development.
• Experience with big data technologies such as Apache Spark, Kafka, Ray, Flink, or equivalent.
• Strong understanding of data modeling, data warehouses, data lakes, and/or lakehouse architectures.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Experience working with relational and/or NoSQL databases and large-scale datasets.
• Experience building reusable engineering components and delivering production-grade data solutions.
• Understanding of data quality, governance, security, and data lifecycle management.
• Experience with CI/CD, Git, automated testing, monitoring, and DevOps practices.
• Strong problem-solving, communication, and collaboration skills, with the ability to work effectively across technical and business teams.
• Experience delivering solutions within large, complex, and multi-functional organizations.

What You'll Get to Work On

You will work on modern data engineering initiatives involving large-scale data platforms, cloud technologies, big data processing, analytics, and digital transformation.

This is an opportunity for an experienced Data Engineer to build scalable and reusable data foundations that enable analytics, AI, and business innovation.

Only qualified candidates will be contacted for the next steps.