Data Engineer

1 day ago

Marousi, Attica, Greece VesselBot Full time €40,000 - €80,000 per year

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

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