Data Engineer

OCU; Comunidad de Madrid; Híbrido; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Join a forward-thinking organization as a Data Engineer, where you'll bridge raw business data with the creative needs of Data Scientists. You'll be responsible for building and maintaining data pipelines, ensuring data quality, and optimizing data processing efficiency. This role offers a permanent full-time contract with a flexible schedule in a hybrid work model. Collaborate with specialized professionals in an international environment and contribute to meaningful projects that uphold rigorous standards. If you're ready to take on this challenge and make a difference, we encourage you to apply!

Servicios

Flexible Schedule

Hybrid Work Model

Competitive Salary

Social Benefits

Formación

• 3+ years of experience in a data engineering role with strong SQL and Python skills.
• Experience with cloud environments like Azure and tools like Databricks.

Responsabilidades

• Build and maintain data pipelines to support increasing data volume and complexity.
• Monitor data quality and troubleshoot data-related issues.

Conocimientos

SQL

Python

Data Engineering

Communication Skills

Teamwork

Data Modeling

GDPR Compliance

Cloud Environment Knowledge

Educación

Bachelor in IT

Master in IT

Herramientas

Azure

Databricks

SqlServer

Google BigQuery

Azure Data Factory

Azure DevOps

Power BI

Descripción del empleo

We are looking for a Data Engineer for our Business Analytics team to form the bridge between our raw business data, with their specific technical and business representations, and the creative data-needs of our Data Scientists and Visualization experts. The engineer will be responsible for managing, optimizing and monitoring data retrieval, storage and distribution throughout the team, thereby supporting our business objectives and fostering data-driven decision-making across the organization. Our data engineer will collaborate with Data Scientists, Visualisation Experts, Business Analysts and IT colleagues in several domains, in order to improve:

1. Our reaction time towards answering business requests.
2. The quality and depth of reports and models.
3. Data availability and quality.
4. General data engineering knowledge within the team.

Main responsibilities:

1. Build and maintain data pipelines to support continuing increases in data volume and complexity.
2. Build dimensional models to help migrate reports and models from an on-premise Data Warehouse to a new Enterprise Data Hub.
3. Implement and monitor data quality checks and work directly with end users to understand data quality expectations.
4. Improve, optimize and monitor data processing efficiency.
5. Combine raw information from different sources to create new and valuable datasets.
6. Troubleshoot data-related issues and assist in their resolution.
7. Monitor cloud costs to ensure monthly budget is respected.
8. Train and support the team in more technical questions.
9. Stay on top of new technologies and best practices and implement these in the team.
10. Ensure compliance with GDPR and privacy restrictions when working with sensitive data.

Required skills:

The role requires a set of technical and interpersonal skills, including:

1. Bachelor or Master in IT.
2. 3 years of experience in a data engineering role.
3. Good knowledge of SQL and database design.
4. Good knowledge of Python.
5. Experience with Azure (or similar cloud environment).
6. Experience with Databricks (Apache Spark).
7. High level of English (minimum C1).
8. Strong communication / interpersonal skills to clarify and validate requirements with stakeholders.
9. Good team player.

Experience in the following is considered an asset:

1. SqlServer
2. Google BigQuery
3. PySpark
4. Azure Data Factory
5. Azure DevOps
6. Good understanding of data modelling methods (data warehouse, data vault, dimensional modelling).
7. Basic understanding of Data Science principles and theory.
8. Basic knowledge of Power BI (or other BI tools).

What do we offer?

This is a great opportunity to join an organization with a social mission, in an international environment, and to work with specialized professionals involved in projects that are carried out with the utmost rigor. We offer you a permanent full-time contract (35 hours) with flexible schedule, hybrid work model (on-site working hours in Madrid), competitive salary, according with the responsibilities of the position, and social benefits.

Are you ready to face the challenge? Don't think twice and send us your CV in English.

We are firmly committed to equal opportunities, respect for diversity and the reconciliation of work, family and personal life. We work every day to promote a diverse and inclusive workplace and work environment, in which all people, regardless of gender, age, ethnic origin, social or economic status, sexual orientation, gender expression or identity, physical or health condition, religion, political affiliation, or any other difference or condition, have the real opportunity to develop and reach their potential.

Data Engineer • Community of Madrid, Madrid, Spain