R&D and Data Engineer

Panama, PA

Applications have closed

Alstom

Leading the way to greener and smarter mobility worldwide, Alstom develops and markets integrated systems that provide the sustainable foundations for the future of transportation.

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Req ID:441163 

 

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

 

 

JOB TITLE & JOB CODE

Job Title (Job Code):        R&D and Data Engineer (EN-XD-01)

 

PURPOSE OF THE JOB

As part of SER-LAM Engineering team, we are responsible for the development, deploy and Implementation of Digital solutions as part of the core model of our department, candidate is expected to understand the importance of Data Analytics and the structure required to ease the data flow between different departments, purpose of the job is to support existing infra, create new data-pipelines, and detect improvement points for future developments.

  • Collaborate in the generation of data-driven solutions making process, within a lean startup pathway and in collaboration of engineering & mobility experts, data engineers, software engineers, HMI designer and devops.
  •  Understand the importance of data capture aiming for advance IA/ML Algorithm deployment.

 

ORGANISATION

Organisation structure (job belongs to..)

REGION / Services / Engineering, or ADM, or Services Platform

 

Reports directly to:

Business Intelligence & Digital Services Manager or Chief Digital Architect or R&D Program Manager

 

Other reporting to:

Chief Digital Architect

 

Direct reports:

N/A

 

 

Network & Links

Internal

  • Engineering, Technical teams, R&D, Innovation teams

External

  • Start-ups, data companies, other industrial companies, suppliers, academics, research institutes

 

MAIN RESPONSABILITIES  

 

Key accountabilities:

  • Define, develop, manage & sustain the dataflow model.
  • Design technical solutions for data-driven approach, including engineering and financial impacts.
  • Build multi-tenant streaming and data processing in batch and near-real time flows.
  • Create and maintain web apps used for maintenance data, operational data, and other data sources acquisitions.
  • Ensure the good quality of raw data acquisition to ease further analysis.
  • Apply strong testing and quality assurance practices.
  • Generate insights from data analysis.
  • Create outputs for end users based on data analytics.
  • Support projects in their development of data – driven solutions

 

 

Other accountabilities:

  • Develop and spread data culture across functional departments within the organization.
  • Cross functional collaboration between departments
  • End user support

 

Performance measurements:

  • OTD
  • Developments QCD
  • Task Executions Rate

 

 MAIN REQUIRED COMPETENCES

Educational Requirements

Mandatory:

  • Engineering or master’s degree in Computation, Electronics or Mathematics

Desirable:

  • PhD in the fields of statistics or machine learning or applied mathematics

 

Experience

Mandatory:

  • Knowledge of the following language: Python or/and R
  • Knowledge of Python web development Frameworks (Django,Flask,FastApi)
  • Knowledge of HTML, CSS, JS.
  • Experience with database management Structured and Non-Structured (SQL, ElasticSearch, etc.)
  • Experience with git control and release management and Docker.

 

Desirable:

  • Knowledge of PHM or Predictive Maintenance
  • Knowledge of Traffic modelling
  • Knowledge of NLP
  • Experience in Sequence mining
  • Experience with LINUX environment (shell scripting)

Competencies & Skills

  • Proven track record for designing stable solution, testing, and debugging.
  • Web development and App Deployment
  • Ability to collect, model and structure large datasets using R, Python, SQL, etc.
  • Demonstrated teamwork and collaboration in a professional development environment.
  • Strong end user interaction
  • Advance English

 

Soft Skills

  • Proactivity
  • Teamwork and Leadership  

 

 

 

 

You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!

 

Important to note

As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63  countries we operate in. We’re committed to creating an inclusive workplace for everyone.

 

 

Job Type:​Experienced​

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Business Intelligence Data analysis Data Analytics Dataflow DevOps Django Docker Elasticsearch Engineering FastAPI Flask Git Industrial Linux Machine Learning Mathematics NLP PhD Pipelines Predictive Maintenance Python R R&D Research Shell scripting SQL Statistics Streaming Testing

Perks/benefits: Career development Startup environment

Region: North America
Country: Panama
Job stats:  4  0  0
Category: Engineering Jobs

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