IT Deployment, Data Engineer

• Implement and model analytical output ports for our data products, ensuring they are discoverable and consumable across domains
• Design, develop, and maintain data pipelines using Dagster as the primary orchestration framework, progressively modernising existing ETL workflows
• Build and manage data transformation layers using dbt, ensuring well-tested, documented, and version-controlled models
• Ensure proper operation and evolution of data models and resulting data sets, maintaining them as the source of truth for shipment data
• Architect and optimise Snowflake data warehouse structures including schemas, tables, views, and materialisation strategies
• Provision and manage AWS infrastructure components supporting the data platform (S3, Lambda, IAM, EC2, etc.)
• Build and operate data-centric infrastructure in collaboration with DevOps specialists
• Integrate data from a variety of source systems including logistics and supply chain platforms (e.g. TMS, WMS, ERP) as well as Oracle and PostgreSQL databases
• Provide an analytics and data quality focused perspective to existing shipping data products
• Evaluate new tools and technologies to enhance the data platform landscape
• Work alongside the existing BI development team to understand current ETL processes and data models, ensuring continuity during platform modernisation
• Implement data quality checks, monitoring, and alerting across pipeline stages
• Collaborate with reporting analysts and business stakeholders to understand data requirements and deliver appropriate models
• Maintain CI/CD workflows for data pipeline code and infrastructure-as-code deployments, complementing existing Jenkins-based automation where appropriate
• Contribute to data governance practices including cataloguing, lineage tracking, and documentation
• Support and troubleshoot production data issues, performing root cause analysis and remediation

What we would like you to bring

• 2–5 years of experience in Data Engineering or a similar role.
• Strong experience with Snowflake, SQL, Python, dbt, and AWS.
• Hands-on experience building and maintaining data pipelines and ETL/ELT workflows.
• Strong knowledge of data modelling and data warehouse design.
• Experience developing and supporting data products for analytics and reporting.
• Expertise in Snowflake architecture, performance optimization, and RBAC.
• Experience integrating data from WMS, ERP, TMS, Oracle, PostgreSQL, or similar systems.
• Familiarity with Git, CI/CD, data quality, and monitoring frameworks.
• Logistics, Supply Chain, or Blue Yonder WMS experience is preferred.
• Strong communication, problem-solving, and stakeholder management skills.

What's in it for you

• Work with a Global Leader – Join one of the world’s top logistics companies with a strong international presence and reputation.
• Career Development – Access structured growth opportunities, professional training, and internal mobility within a global organization.
• Attractive Compensation – Competitive salary with performance-based incentives and benefits.
• Collaborative Work Culture – Be part of a supportive, ethical, and compliance-driven team environment.
  • Local Role, Global Impact – Influence regional business growth while working with global tools, systems, and best practices.