Data Engineer

Remote

About the Position

We are looking for a Data Engineer for a fully remote position.

About the Role

You will build the data foundation for AI initiatives, making operational, customer, parcel, and business data available in reliable, well-structured, governed, and scalable pipelines so that AI teams and agentic workflows can turn data into measurable business impact. You work closely with data scientists, AI engineers, cloud engineers, business process owners, and country IT teams to design, implement, operate, and improve data pipelines, data products, and analytical datasets across enterprise systems.

You are a hands-on data engineer who enjoys turning messy enterprise data into reliable data products. You understand that AI success depends on clean, available, well-governed data and you are comfortable working with both technical teams and business stakeholders.

Responsibilities

• Design, build, and operate enterprise-grade ETL and ELT pipelines for AI, analytics, reporting, and agentic workflow use cases.
• Create clean, documented, and reusable data products from operational, customer, logistics, sales, and other data sources.
• Implement data quality checks, monitoring, lineage, metadata, and reliability patterns to make datasets trustworthy and production-ready.
• Support integrations between Azure-based AI services, Snowflake, APIs, file-based sources, and selected AWS data services where needed.
• Work with business and AI teams to translate use case requirements into data models, pipelines, and serving layers.
• Collaborate with local IT and data owners to onboard new data sources while respecting data protection, access control, and governance requirements.

Requirements

• Strong experience with Python, SQL, data modelling, ETL/ELT development, and production data pipelines.
• Experience with cloud-native data engineering, ideally on Azure, with practical AWS exposure as a plus.
• Experience with Snowflake or comparable cloud data platforms.
• Understanding of data quality, orchestration, observability, access management, and governance in enterprise environments.
• Ability to collaborate with data scientists, AI engineers, business stakeholders, and local IT teams in international settings.
• Comfortable using GenAI software engineering tools such as GitHub Copilot, Cursor, or OpenCode to accelerate development.
• Fluent English.

Nice to Have

• Experience with Iceberg, AWS Glue, Spark, Databricks, or similar data engineering technologies.
• Experience with logistics, parcel operations, customer feedback, route, depot, or sales data.
• Exposure to AI feature stores, vector databases, retrieval pipelines, or data preparation for GenAI applications.

We Offer

• Fully remote position
• Opportunity to work with cutting-edge AI technologies
• Collaborative and innovative work environment

About the Company

[Company description if present]