Systems Manager

Velto Renewables; Madrid; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Velto Renewables, Madrid, seeks a System Manager to design, build, and maintain the data infrastructure enabling Asset Management to transform raw data into actionable insights for performance optimization and predictive maintenance.

You will lead ETL/ELT pipelines, data warehouses, and the deployment of Lumina, coordinating with IT and external providers while ensuring data quality, security, and GDPR compliance across the energy assets.

Formación

• Bachelor's or Master's degree in Computer Science, Data Engineering, Telecommunications, Industrial Engineering, or related field.
• 5+ years of experience in a Data Engineer role, preferably in renewables, utilities, or industrial IoT.
• Strong proficiency in Python and SQL.
• Hands-on with ETL/ELT tools (Airflow, Prefect, or similar).
• Experience with cloud platforms (AWS, Azure, or GCP) and data warehousing (Snowflake, BigQuery, Redshift).
• Familiarity with SCADA systems and time-series databases.
• Fluency in English; French is a plus.
• Ability to translate technical data into business insights.

Responsabilidades

• Design, build, and maintain scalable ETL/ELT pipelines from SCADA, inverters, sensors, ERP, and other sources.
• Ensure data quality, consistency, and reliability across asset data streams.
• Build and maintain data warehouses/lakes optimized for analytics and reporting.
• Lead deployment and integration of Lumina with IT systems and vendors.
• Oversee data governance, security, and GDPR compliance; drive efficiency and advanced analytics.

Conocimientos

Python

SQL

ETL/ELT

Time-series data

SCADA familiarity

API integrations

Analytical mindset

Educación

Bachelor's or Master's in CS / Data Eng / related

Herramientas

Airflow

Prefect

Snowflake

BigQuery

Redshift

Descripción del empleo

Velto Renewables (Velto), a subsidiary of La Caisse (Caisse de Dépôt et Placement de Québec), is looking for a System Manager to join its team in Madrid, Spain, and work closely with the Head of Asset Management and the rest of the AM Team.

Velto Renewables is a renewable energy independent power producer with a long-term asset ownership strategy, and committed to contributing to the decarbonisation of the global economy and the European energy transition by investing in and developing an international and multi-technology portfolio of renewable energy projects.

Velto owns and operates more than 130 solar photovoltaic and wind projects in Spain and France, with a total installed capacity exceeding 607 MW. These assets generate over 936 GWh of clean energy annually, enough to power more than 266,000 homes, while avoiding over 77,000 tonnes of CO₂ emissions each year.

Additionally, Velto provides asset management services for La Caisse’s 25% investment in the London Array, one of the world’s largest offshore wind farms. Located 20 km off the coast of Kent, this 630 MW project produces over 2,300 GWh annually, preventing 287,500 tonnes of CO₂ emissions each year.

The System Manager will be responsible for designing, building, and maintaining the data infrastructure that enables our Asset Management team to transform raw data into actionable insights for performance optimisation, predictive maintenance, and strategic decision-making, as well as leading the deployment and continuous improvement of the company's digital management tools.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, processand store data from multiple sources (SCADA, inverters, meteorological stations, sensors, ERP, etc.).


• Ensure data quality,consistency, and reliability across all asset data stream


• Build and maintain data warehouses/lakes optimised for analytical and reporting purposes.


• Lead the deployment and configuration of the company's new management tool (Lumina), acting as the main point of contact with IT solution providers and ensuring successful integration with existing systems.


• Oversee and ensure continuity of the cybersecurity work already initiated, implementing best practices and coordinating with internal and external stakeholders.

2. Data Integration & Automation

• Integrate data from third-party O&M providers, monitoring platforms, and internal systems.


• Automate data collection, validation, and reporting workflows to reduce manual intervention and improve efficiency.


• Implement API connections and real-time data processing where applicable.


• Drive the automation of recurring reporting processes, enabling self-service access to key performance data for Asset Management and other teams.

3. Collaboration with Asset Management & Analytics

• TeamsWork closely with Asset Managers, Performance Analysts, and external providers to understand data requirements and business needs.


• Support the development of dashboards, KPIs, and predictive models by providing clean, structured, and accessible datasets.


• Translate technical data into clear, decision-useful information for non-technical stakeholders.

4. Data Governance & Security

• Implement data governance best practices, including documentation, version control, and access management.


• Ensure compliance with data protection regulations (GDPR, etc.) and internal security policies.


• Stay up to date with emerging technologies, tools, and methodologies in data engineering and renewable energy analytics.


• Propose and lead initiatives to improve data processing efficiency, storage optimisation, and advanced analytics capabilities.

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Data Engineering, Telecommunications, Industrial Engineering, or a related field.


• over 5 years of experience in a Data Engineer role, ideally within the renewable energy, utilities, or industrial IoT sector.


• Strong proficiency in Python or similar programming languages.


• Strong proficiency in SQL and experience with data storage or database technologies.Hands-on experience with ETL/ELT tools (e.g., Airflow, Prefect, or similar).


• Experience with cloud platforms (AWS, Azure, or GCP) and data warehousing solutions (Snowflake, BigQuery, Redshift, etc.).


• Familiarity with SCADA systems, time-series databases (InfluxDB, TimescaleDB, etc.), and IoT data streams is highlydesirable.


• Experience with API integrations and real-time data processing is a plus.


• Knowledge of renewable energy assets (PV, wind, etc.) and performance metrics (availability, PR, losses, etc.) is a strong advantage.


• Fluency in English; French is a plus.


• Strong analytical mindset and problem-solving skills.Ability to translate complex technical concepts into business insights.


• Proactive, self-starter with a continuous improvement approach.


• Collaborative team player who can work effectively across technical and non-technical teams.


• Structured, organised, and detail-oriented.