In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting edge technologies that shape the world of the future. Currently, for our client, we are looking for a talented and dedicated Software or Data Engineer to join a team, focusing on the developments of capabilities to enable Data Mesh, and offering expertise in leveraging contemporary technologies. This involves advising on the utilization of services available on public clouds or developing in house services on internal Kubernetes-based platform.

Project information:

• Location: Remote
• Type of employment: B2B contract
• Project language: English
• Project length: February 2025 - April 2027

Your tasks:

• Data Architecture and Data Mesh Development:

Design, develop, and maintain scalable data architectures including databases, data lakes, and data warehouses. Implement best practices for data storage, retrieval, and processing. Drive the adoption of Data Mesh principles to promote decentralized data ownership and architecture.

• Data Product Development:

Develop and maintain reusable data products that serve various business units. Collaborate closely with data scientists and analysts to understand data needs and design data models that meet business requirements. Develop and maintain ETL (Extract, Transform, Load) processes for moving and transforming data from various sources into the data infrastructure aligned with Data Mesh principles.

• Data Quality and Governance:

Implement and enforce data quality standards and governance policies. Develop and maintain metadata documentation, data lineage, and data dictionaries for all data assets to ensure they are discoverable and accessible across the organization.

• EDP Platform Adaptation:

Design and implement Kubernetes-based deployment strategies for scalable, reliable, and manageable data technologies. Collaborate with DevOps and infrastructure teams to optimize data technology deployment processes within a Kubernetes environment.

• Documentation:

Document Data Mesh implementations, Proof of Concept (PoC) results, and best practices to share knowledge and create reference materials for future use.