An exciting opportunity has arisen within my clients team as a Development engineer. To support their predictive maintenance efforts, your role will be to develop and deliver analysis that are combining lifecycle data with operational data, and use your expert knowledge to interpret and explain the results to your colleagues.
The Maritime 4.0 era brings us to an age where ships are integrated into larger operations. Owners and operators will expect to have total awareness and control in this area to optimize asset utilization, and ultimately, their wider operations.
My client are pushing the boundaries of ship technology by harnessing the power of data in order to deliver through life asset optimization. Their model to sense, acquire, transfer, analyze and act (SATAA) applies to both onboard and onshore elements.
Perform data analysis on time series data for marine equipment
Develop applications on cloud-based Databricks / pyspark data pipelines
Research, implement and build algorithms and solutions
Provide knowledge and experience to interpret and explain the results of the analysis
Qualifications and Experience
* Qualified degree or relevant experience in data modeling, data analysis
* Experience with marine control system, equipment and applications
* Preferably some experience in using analytics packages such as MatLab, Python / Pyspark on Databricks, Spark/Hadoop libraries
* Some knowledge of Microsoft Azure, Cloud Computing and Big me-series Data visualization techniques or other related systems
You will be offered a competitive salary and benefit package with good development opportunities in an international environment
For more information about this role please contact our London office
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