Senior Software Engineer II

RWE Americas, LLC
To start as soon as possible, full time, permanent

Functional area: IT / Digital
Remuneration: Exempt

 

Digital Solutions is responsible for the development and management of RWE Americas application and custom software development portfolio. These applications power our day-to-day business, connecting operational data to enable business decisions and drive outcomes that improve the development, performance and availability of over 160 renewable energy sites with over13GW of wind, solar, and battery assets.

 

The Senior Software Engineer II drives the engineering evolution of the Smart Data Pipeline (SDP) platform – a cloudbased, Azure-hosted system that automates data ingestion, cleaning, analysis, forecasting, alerting, and measurement equipment lifecycle management for wind energy assets and potential solar/BESS assets in the future. This role combines hands-on software development, architecture leadership, and cross-functional technical ownership, integrating data streams including met mast, lidar, and sensor systems. As a Senior Software Engineer II, you will operate as a multidomain technical expert, sets architectural direction, mentors engineers, and influences technical strategy across the Digital Solutions organization.

 

 Role Responsibilities:  

• Technical Leadership & Architecture
  • Architect and own scalable, cloud-native data pipeline solutions integrating data systems across the SDP platform
  • Define system architecture, data flows, and service boundaries across ingestion, pre-analysis, analysis, alerting, and monitoring pipelines
  • Create and maintain architecture diagrams, blueprints, and reusable design patterns that guide development teams
  • Drive technology decisions, platform standards, and architectural guidelines; lead architecture reviews and technical decision
• Data Pipeline & Cloud Platform Engineering 
  • Lead design and implementation of data collection, pre-analysis, analysis, forecasting, alert, and VMM pipelines, ensuring data quality, reliability, and validation
  • Own solution delivery on Azure-based platforms including Azure Functions, pipeline scheduling, cloud storage, and data lake integration across DEV, UAT, and PROD environments
  • Define and enforce best practices for CI/CD pipelines, infrastructure automation, and observability frameworks (logging, alerting, monitoring dashboards)
• System Integration & Software Delivery 
  • Lead integration of measurement systems (lidar, met mast, sensor networks) with enterprise IT platforms, ensuring data consistency, reliability, and traceability
  • Lead end-to-end feature delivery (Design → Build → Deploy → Operate); review and approve code across multiple services, enforcing security, performance, and coding standards
• Technical Governance, Stakeholder Collaboration & Mentorship 
  • Define and enforce engineering standards, coding guidelines, and architectural patterns; ensure compliance with enterprise architecture and data governance policies.
  • Act as primary technical liaison between product owners, business stakeholders, and development teams, translating business requirements into technical architectures and delivery plans
• Mentorship & Engineering Culture 
  • Mentor engineers across multiple levels; lead knowledge sharing, documentation, and capability-building initiatives that foster a culture of engineering excellence and continuous improvement

 

Job Requirements and Experiences:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent industry certification/experience
• One or more of the following certifications strongly preferred
• Microsoft Azure certifications (e.g., AZ-900, AZ-204, AZ-305) or equivalent cloud platform credential
• Minimum 7 years of relevant software engineering or data platform experience, including hands-on development and technical leadership roles
• Proven experience designing and managing complex, multi-stage data pipelines (ingestion, analysis, forecasting, alerting) with strong expertise in data cleaning, transformation, and validation workflows
• Demonstrated exper