About the Company
The organization operates in the Data and AI domain, focusing on building modern data platforms and scalable analytics ecosystems. Its work centers around enabling data-driven and AI-powered use cases through advanced data architecture, cloud technologies, and engineering best practices. The company emphasizes data quality, governance, and secure, production-ready data systems.
About the Role
The role focuses on designing and delivering modern data architectures and high-performance data pipelines. It involves working across the full data lifecycle, from integration and processing to deployment of large and complex datasets. The position includes close collaboration with stakeholders to translate business requirements into robust technical solutions while contributing to the development of data platform standards and best practices.
Responsibilities
- Design and implement Big Data, Analytics, and AI platforms
- Develop and scale data pipelines across cloud-based architectures
- Implement DevOps workflows including IaC, CI/CD, IAM, monitoring, and alerting
- Ensure high data quality and appropriate data modeling practices
- Operationalize statistical and AI models for production use
- Advise clients on technology stack selection and architecture decisions
- Lead engineering projects and manage delivery outcomes
- Provide technical leadership and guidance to development teams
- Contribute to internal knowledge sharing and data engineering capability building
- Participate in internal projects and engineering community initiatives
Requirements
- Degree in Computer Science, Data Engineering, or related STEM field, or equivalent qualification
- At least 6 years of experience in Data Engineering and data platform design
- At least 5 years of experience with Python, Scala, SQL, and Git
- At least 4 years of experience with Big Data technologies (e.g., Spark, Kafka, distributed storage systems, open table formats, cluster computing)
- At least 4 years of experience with cloud platforms such as AWS, Azure, or GCP
- Experience with cloud services including storage, databases, messaging, ETL/ELT, security, and monitoring
- Experience with modern data analytics platforms such as Databricks, Snowflake, AWS SageMaker, or Azure Synapse
- Strong consulting and stakeholder communication skills
- Experience in technical leadership or project leadership roles
Benefits
- Flexible working hours
- Company car contribution or coverage
- Mobile phone and laptop contribution or coverage
- Canteen, meal allowances, and employee discounts