Data Engineer

Type: Full-time, Permanent

The OpportunityWe're recruiting on behalf of a leading organisation undergoing a major digital transformation. This is a hands-on, senior engineering role for someone who thrives on solving complex data challenges, building scalable platforms, and integrating operational systems across a diverse business landscape.
You'll work closely with stakeholders in Logistics, Operations, Finance, and Compliance to modernise data infrastructure, automate workflows, and embed AI into BI and operational processes. If you're ready to take ownership of high-impact projects and shape the future of data in logistics, this is the role for you.
What You'll Be DoingData Platform & BI Engineering

Architect and implement cloud-native data platforms (AWS S3, Glue, Athena, Redshift, QuickSight).
Build reliable, governed data pipelines with CI/CD and infrastructure as code.
Design dimensional models and deliver robust SQL/Python transformations.Systems Integration & Application Support

Provide expert-level support for transport, warehouse, and fleet systems (TMS/WMS/FMS).
Develop and maintain integrations using REST/SOAP APIs, EDI (XML/JSON), and flat-file interfaces.
Implement observability, error-handling, and retry logic for mission-critical interfaces.Automation & Process Improvement

Replace manual, spreadsheet-driven processes with governed datasets and internal tools.
Build lightweight portals, scripts, and APIs to streamline business workflows.AI & Advanced Analytics

Integrate AI services into BI dashboards and operational workflows (e.g., anomaly detection, natural language Q&A).
Implement semantic search and intelligent alerting using AWS Bedrock or Azure equivalents.Security, Governance & Resilience

Enforce least-privilege access, RBAC, and secrets management.
Apply data governance across AWS/Microsoft estates and contribute to DR strategies.What You'll BringEssential Experience

5+ years in SQL (T-SQL), Python, and BI/data platform engineering.
Strong hands-on experience with AWS analytics stack and Power BI.
Proven track record in designing and deploying production-grade ETL/ELT pipelines.
Experience supporting and integrating operational systems (TMS/WMS/FMS).
Solid understanding of data modelling, performance tuning, and infrastructure as code.Desirable Skills & Certifications

AWS or Microsoft certifications (e.g., Data Analytics Speciality, DP-203, PL-300).
Experience with Azure Data Factory, Kafka/Kinesis, or message brokers.
Familiarity with LLMs (e.g., Claude, Azure OpenAI) and vector databases.Why You Should Apply

Be part of a company driving innovation and sustainability in logistics.
Lead and deliver high-impact digital transformation initiatives.
Work in a collaborative, forward-thinking environment.
Competitive salary and benefits, with professional development opportunities.If you would like more information or some career advice, please do not hesitate to reach out directly.

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