Data Engineer

🌍 Join Us as a Data Engineer

Who We Are
We are an innovative startup dedicated to making the world more sustainable through cutting-edge technology solutions. Our flagship product provides visibility into greenhouse gas (GHG) emissions, empowering FTSE 500 companies to understand and reduce their carbon footprint.

About The Role

We are seeking a highly skilled Data Engineer to design, build, and maintain a data lake for logistics operations. This role will be central to enabling advanced analytics, real-time insights, and data-driven decision-making across our supply chain and logistics ecosystem.

The ideal candidate will have deep expertise in data engineering, cloud platforms, and data lake architectures, with proven experience handling large-scale, high-volume logistics or supply chain data.

Responsibilities

• Design, architect, and implement a scalable logistics-focused data lake solution.
• Develop ETL/ELT pipelines to ingest, transform, and organize structured and unstructured logistics data (e.g., shipments, routes, inventory, GPS, IoT sensors, ERP data).
• Integrate multiple data sources including WMS, TMS, ERP, IoT devices, telematics, and external partners.
• Ensure data quality, governance, and security standards are met.
• Optimize data storage for cost, performance, and scalability.
• Work closely with data analysts, data scientists, and business stakeholders to enable dashboards, predictive models, and advanced analytics.
• Implement best practices for metadata management, partitioning, data cataloging, and access control.
• Continuously improve the infrastructure to support real-time and batch processing

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering or building large-scale data platforms.
• Proven experience with cloud platforms (AWS, Azure, or GCP) and experience with on-premise servers.
• Strong knowledge of data lake architectures (Delta Lake, Lakehouse, Iceberg, or similar).
• Expertise in ETL/ELT tools (Apache Spark, Databricks, Glue, Airflow, etc.).
• Proficiency in SQL, Python, and distributed data frameworks.
• Experience working with logistics/supply chain data (preferred but not required).
• Strong knowledge of data security, compliance, and governance best practices.
• Ability to translate complex business needs into scalable technical solutions.

Preferred Skills

• Familiarity with machine learning workflows in logistics (e.g., route optimization, demand forecasting).
• Experience with real-time data streaming (Kafka, Kinesis, Pulsar).
• Hands-on experience with data visualization and BI tools (Power BI, Tableau, Looker).
• Why Join Us?
• - Impact: Work on meaningful projects that contribute to a sustainable future.  
• - Innovation: Be part of a dynamic team at the forefront of technology and environmental responsibility.  
• - Growth: Enjoy opportunities to expand your skills and career in a fast-paced, mission-driven environment.
• - Benefits: Enjoy a supportive work environment in our conveniently located offices, just a short walk from the train station. A very competitive salary and Ticket Restaurant card are provided.
• 💡 Ready to make a difference?
• Apply now to join a team of passionate individuals working together to shape a better future!