Desarrollador(a) IT

Qaracter - Beyond your Challenge; Madrid; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A consulting firm specializing in digital transformation is seeking a Data Integration Engineer in Madrid, Spain. The ideal candidate will have over 3 years of experience in data engineering, proficient in Python and SQL, with knowledge of ETL processes. Responsibilities include building data pipelines and structuring data lakes for various use cases. This position offers opportunities for career development and involvement in high-impact projects.

Servicios

Career development and training

Work on high-impact projects

Formación

• 3+ years of experience in data integration, data engineering, or ETL processes.
• Strong skills in Python and SQL.
• Experience with cloud data services (Azure, AWS, or GCP).

Responsabilidades

• Design, build, and maintain robust end-to-end data pipelines.
• Automate workflows and ensure data quality.
• Structure and organize data lakes for leakage detection and optimization.

Conocimientos

Data Integration

ETL / ELT

Python

SQL

Cloud Data Services

Collaboration

Data Architecture

Herramientas

Apache Airflow

PostgreSQL

Docker

Descripción del empleo

Are you passionate about connecting complex systems, building high-quality data pipelines, and enabling real operational impact?

At Qaracter, we are looking for a Data Integration Engineer to join strategic digital transformation projects within the utilities and water management sector—where operational technology meets modern data architectures.

This role is ideal for someone who thrives at the intersection of OT (Operational Technology) and Data Engineering, helping organizations unlock value from industrial and corporate data sources.

As a Data Integration Engineer, you will:

• Data Integration & Processing (ETL / ELT): Design, build, and maintain robust end-to-end data pipelines
• Work with ETL / ELT tools such as Apache Airflow, Apache NiFi, or custom Python pipelines
• Clean, standardize, validate, and consolidate data from industrial and corporate systems
• Automate workflows, ensure data quality, and orchestrate data ingestion processes
• Integrate with relational databases (PostgreSQL, SQL Server, Oracle) and modern data platforms (S3, ADLS, BigQuery, Snowflake)
• Interpretation of tags, signals, and historical data
• Understanding of industrial communication protocols: Integration of PLC/RTU-generated data into big data or cloud platforms
• Troubleshooting typical industrial data quality issues (lag, dropouts, noisy signals, irregular sampling)

Data Architecture & Modelling

• Design operational and analytical data models
• Structure and organize data lakes and data warehouses to enable use cases such as leakage detection, demand forecasting, energy optimization, and asset analytics
• Work with metadata, cataloging, and data governance frameworks
• Develop transformation logic and connectors via Python
• Use Docker and CI/CD tools (GitLab, Jenkins, Azure DevOps) to streamline deployments

Qualifications

• 3+ years of experience working in data integration, data engineering, or ETL processes
• Strong Python skills
• Experience building and maintaining data pipelines in industrial or corporate environments
• Solid SQL knowledge and experience with relational databases
• Familiarity with cloud data services (Azure, AWS, or GCP)
• Experience collaborating with cross-functional teams (IT, Operations, OT)
• Full professional proficiency in Spanish and at least B2 / C1 in English

Career opportunities

• Work on high-impact digital transformation projects
• Career development, certifications, and continuous training

Qaracter is an international consulting firm specializing in technology, operations, financial services, and digital transformation. All applications are welcome regardless of sex, gender, gender identity or expression, sexual orientation, origin, ethnicity, age, disability, or any other personal or social condition, in line with our Plan de Igualdad and our commitment to equity.