Data & Systems Manager

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

Descripción de la vacante

Velto Renewables in Madrid seeks a Data & System Manager to design and maintain the data infrastructure for Asset Management. You will build scalable ETL/ELT pipelines, ensure data quality, and enable dashboards and predictive insights for performance optimization.

You will lead the deployment of the Lumina tool, coordinate with IT providers, and tighten data governance and security across multiple asset streams. Fluency in English is expected, with French a plus.

Formación

• Degree in CS/Data Eng or related field.
• 3–5 years in a data engineering role, preferably in energy or industrial IoT.
• Proficient in Python and SQL with ETL/ELT tooling experience.

Responsabilidades

• Design, build, and maintain scalable data pipelines ingesting data from SCADA, inverters, and sensors.
• Ensure data quality, consistency, and reliability across asset data streams.
• Lead data warehouse/data lake design for analytics and reporting.
• Oversee deployment of Lumina integration with existing systems and IT providers.
• Strengthen data governance, security, and compliance.

Conocimientos

Python

SQL

ETL/ELT

Data pipelines

Data governance

Analytics

Educación

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

Herramientas

Airflow

Snowflake

BigQuery

Redshift

TimescaleDB/InfluxDB

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

• 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.
• 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.
• 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.