Data Engineer

Bluecrux is a value chain consulting and technology company, specializing in transformative solutions for today’s complex supply chain landscape. As we grow, we’re excited to invite a skilled Data Engineer to join our Production & Engineering team. In this role, you’ll contribute directly to AXON, our state-of-the-art Digital Supply Chain Twin SaaS solution. AXON empowers our customers with an all-encompassing, real-time view of their entire supply chain, providing data-driven insights that drive smarter, faster decisions. Learn more about AXON here.

Our AXON team is a young, dynamic group of experts across Frontend, Backend, DevOps, Big Data, AI, and more. Together, we’re shaping a product that’s future-ready, leveraging the latest in technology and innovation. We’re looking for a passionate Data Engineer to join us in defining and building features that make an impact.

As a senior Data Engineer, you play a pivotal role in bridging the gap between business and technology, ensuring the seamless integration of our Axon software into our clients' tech ecosystems. Your primary responsibilities include:

• Contribute to the Data Integration Framework: Develop and enhance a robust framework that feeds into a graph data model for the digital twin of large industrial supply chains.

Contribute to the Data Integration Framework: Develop and enhance a robust framework that feeds into a graph data model for the digital twin of large industrial supply chains.

• Work with Complex Supply Chains: Collaborate with clients managing large and intricate supply chains, ensuring the seamless integration of data from various sources into the graph model.

Work with Complex Supply Chains: Collaborate with clients managing large and intricate supply chains, ensuring the seamless integration of data from various sources into the graph model.

• Handle Big Data: Manage, process, and optimize performance for large-scale datasets, ensuring the system can handle the demands of big data environments.

Handle Big Data: Manage, process, and optimize performance for large-scale datasets, ensuring the system can handle the demands of big data environments.

• Optimize Pipeline Performance: Continuously improve the data pipeline to reduce processing times, improve throughput, and ensure scalability for future growth.

Optimize Pipeline Performance: Continuously improve the data pipeline to reduce processing times, improve throughput, and ensure scalability for future growth.

• Develop New Features: Lead the development of new features for the data integration framework, contributing to the growth and adaptability of the system.

Develop New Features: Lead the development of new features for the data integration framework, contributing to the growth and adaptability of the system.

• Collaborate with Cross-Functional Teams: Work alongside cross-functional teams, including solution experts, software engineers, data scientists, and analytics specialists, throughout the entire development lifecycle, from conception to testing.

Collaborate with Cross-Functional Teams: Work alongside cross-functional teams, including solution experts, software engineers, data scientists, and analytics specialists, throughout the entire development lifecycle, from conception to testing.

• Write High-Quality Code: Ensure clean, maintainable, and efficient code that meets the needs of both internal and external users, enhancing the overall user experience and functionality.

Write High-Quality Code: Ensure clean, maintainable, and efficient code that meets the needs of both internal and external users, enhancing the overall user experience and functionality.

• Participate in Product Meetings: Actively engage in weekly product and roadmap discussions, ensuring alignment between data engineering and other teams. Contribute insights on technical feasibility, timelines, and potential risks, ensuring that engineering efforts are closely aligned with product goals and strategic objectives.

Participate in Product Meetings: Actively engage in weekly product and roadmap discussions, ensuring alignment between data engineering and other teams. Contribute insights on technical feasibility, timelines, and potential risks, ensuring that engineering efforts are closely aligned with product goals and strategic objectives.

• Manage Data Integration Projects: Oversee the data integration tracks within Axon projects, ensuring objectives are met, communicate these, and maintain clear documentation to support collaboration and future reference.

Manage Data Integration Projects: Oversee the data integration tracks within Axon projects, ensuring objectives are met, communicate these, and maintain clear documentation to support collaboration and future reference.

• Lead and Mentor the Data Team: Coach and guide junior members of the data integration team to ensure their growth and the successful delivery of projects.

Lead and Mentor the Data Team: Coach and guide junior members of the data integration team to ensure their growth and the successful delivery of projects.

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