Data & Systems Manager

Velto Renewables; Comunidad de Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

Velto Renewables in Madrid, Spain, seeks a Data & System Manager to design, build, and maintain the data infrastructure enabling our Asset Management team to transform raw data into actionable insights for performance optimisation, predictive maintenance, and strategic decision‑making.

The role leads ETL/ELT pipelines, data integration, governance, and deployment of Lumina, collaborating with Asset Managers and external providers in a dynamic renewable energy environment.

Formación

• Bachelor's or Master's degree in Computer Science, Data Engineering, Telecommunications, Industrial Engineering, or related field.
• 3–5 years of experience as a Data Engineer, preferably in renewable energy, utilities, or industrial IoT.
• Strong proficiency in Python.
• Strong proficiency in SQL and experience with data storage or database technologies.
• Hands-on experience with ETL/ELT tools (Airflow, Prefect, or similar).
• Experience with cloud platforms (AWS, Azure, or GCP) and data warehousing solutions (Snowflake, BigQuery, Redshift).
• Familiarity with SCADA systems, time-series databases (InfluxDB, TimescaleDB), and IoT data streams is highly desirable.
• Experience with API integrations and real-time data processing is a plus.
• Knowledge of renewable energy assets (PV, wind) and performance metrics is a strong advantage.
• Fluency in English; French is a plus.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process and store data from multiple sources.
• Ensure data quality, consistency, and reliability across all asset data streams.
• Build and maintain data warehouses/lakes optimized for analytics and reporting.
• Lead deployment and configuration of Lumina, integrating with existing systems.
• Oversee cybersecurity work and align with internal/external stakeholders.
• Integrate data from third-party O&M providers, monitoring platforms, and internal systems.
• Automate data collection, validation, and reporting workflows.
• Implement API connections and real-time data processing where applicable.
• Drive automation of recurring reporting for self-service access to KPIs.
• Collaborate with Asset Management and Analytics to meet data needs.
• Translate technical data into clear business insights.
• Implement data governance, documentation, version control, and access management.
• Ensure compliance with GDPR and internal security policies.
• Stay current with data engineering/renewable analytics trends and drive improvements.

Conocimientos

Python

SQL

API integrations

Real-time data processing

Data modeling

Educación

Bachelor's or Master's in Computer Science/Data Engineering/Telecommunications/Industrial Engineering

Herramientas

Airflow

Prefect

Snowflake

BigQuery

Redshift

AWS

Azure

GCP

InfluxDB

TimescaleDB

Descripción del empleo

Velto Renewables (Velto), a subsidiary of La Caisse (Caisse de Dépôt et Placement de Québec), is looking for a Data & 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.

The company holds 607 MW of operational solar PV and wind assets in Spain and France, manages a 25% stake in the 630 MW London Array offshore wind farm in the UK, is developing over 1 GW of projects across Iberia, and pursues an international growth strategy that establishes a local presence in the countries and regions where it operates.

Velto Renewables operates a growing portfolio of photovoltaic assets that generate large volumes of operational and technical data.

The Data & 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

1. Data Infrastructure & Pipeline Development

• 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.

5. Innovation & Continuous Improvement.

• 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.
• 3/5 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.

Competencies

• 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.