Ingegnere Dei Dati

Lognext; Madrid; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A multinational technology firm is seeking a Data Engineer to enhance data pipelines and solutions within the financial sector. The ideal candidate has over 5 years of experience in data engineering, strong SQL skills, and practical knowledge of Databricks and Spark. This position offers a permanent contract with a hybrid work model, competitive salary, and support for professional development.

Servicios

Competitive salary

Remote work assistance

Professional development budget

Formación

• 5+ years of experience in data engineering, ideally in financial services.
• Strong SQL skills for complex queries and optimization.
• Experience with Databricks or Spark.

Responsabilidades

• Design and optimize data pipelines using SQL and Databricks.
• Implement data ingestion and transformation workflows.
• Ensure data governance and integrity across data architecture.

Conocimientos

Data engineering experience

SQL development

Databricks

Spark

Data modeling

English (B2)

Educación

Degree in a STEM field

Herramientas

Excel

VBA

Descripción del empleo

At Lognext we have been accompanying companies and teams for more than 18 years to identify and implement the technology necessary to advance, making their challenges and objectives our own and getting closer to their reality. Therefore, being a NEXTER means that your career and talent become meaningful to you and those around you, allowing you to build what matters most to you and reach your next level.

We are looking for a

Data Engineer

to join our team for a multinational leader in the

financial sector

Key Responsibilities

• Design, develop and optimize data pipelines using SQL and Databricks.
• Implement data ingestion and transformation workflows using Spark in distributed environments.
• Ensure data governance, lineage, and integrity across all stages of the data architecture.
• Collaborate across Data Engineering, Risk, Technology, and Business teams to deliver integrated data solutions.
• Contribute to the automation and modernization of manual or legacy data processes and reporting tools.
• Participate in the continuous improvement and optimization of data infrastructure.

Skills – Essential

• Minimum of 5 years of hands‑on experience in data engineering or data management, ideally within financial services or Big Data environments.
• Strong SQL development skills (complex queries, optimization, window functions, etc.).
• Practical experience with Databricks, Spark, or other distributed data platforms.
• Knowledge of data modeling, normalization, and data quality best practices.
• Degree in a STEM field (Engineering, Computer Science, Mathematics, etc.).
• High level of English (minimum B2).

Skills – Desirable

• Certifications or additional training in data platforms or cloud ecosystems.
• Experience with Excel, VBA, and Microsoft Office Suite.

Job Conditions & Benefits

• Permanent contract.
• Work Mode : Hybrid (on-site presence one day a week).
• Competitive salary.
• Remote work assistance.
• Professional Development : Access to an annual budget dedicated to advancing your skills through professional certifications.

Join our expert team, where creativity, commitment and the ability to bring new perspectives are essential to make a difference in a world full of opportunities.