Akkodis, we thrive on solving complex problems and building a smarter future; we power digital transformation and accelerate innovation with our cross-industry technology and digital engineering consulting, talent services and skilling. We're passionate about our work and committed to creatingand implementing cutting-edge solutions that drive industry progress. Our culture is built on honesty, respect, fairness and inclusion, and we're looking for innovative and talented individuals who share these values to join us on this journey.The RoleCollaborate with a diverse engineering team on pioneering mobile mining and railway equipment technology, pushing the boundaries of innovation. Work on Green Fleet projects aimed at improving the environmental sustainability and efficiency of transportation fleets, such as those used in mining, logistics, or public transportation. These projects involve implementing cleaner energy sources, optimizing fuel consumption, reducing emissions, and enhancing overall operational eco-friendliness.Responsibilities
- Manage test data and data offloading pipelines for all Green Fleet projects.
- Develop standards for data signal naming and set correct naming and grouping across the whole data pipeline from onboard data logger to offboard database
- Design efficient database architecture and the best way to store large datasets
- Manage big data in various databases (i.e. AWS S3, Snowflake, SQL, InfluxDB) and ensure data are available to all consumers
- Create standard workflow and documentations for setting up data software and platform
- Manage data logging software and specialised test data logger
- Bachelor's degree in Computer Science / Software / Network Engineering, or related field
- 5+ years of experience in design and delivery of complex data warehousing and data management field
- Experience with writing and optimising SQL queries is essential
- Experience with MQTT protocol (Sparkplug B) is essential
- Experience with Python, Java and .Net framework is highly advantageous
- Experience with Confluence, Jira and GitHub for issue tracking and version control workflow is highly advantageous
- Experience with industrial communication protocols (i.e. Modbus, Ethernet/IP, Profinet, OPC-UA, CAN bus) is highly advantageous
- Experience with AWS, Azure cloud platform and Snowflake cloud data platform is highly advantageous
- Experience with report dashboard development (i.e. Tableau and Power BI) is highly advantageous
- Knowledge of network, server and cyber security best practices is highly advantageous
- Excellent troubleshooting, analytical and communications skills
- Proven ability to work with diverse stakeholders and in multidiscipline teams