Are you a data-driven innovator ready to shape the future? Join our team as a Data Engineer, where you'll play a crucial role in transforming raw data into valuable insights that drive business decisions. You'll work alongside a talented team of data scientists, analysts, and engineers to design, develop, and maintain robust data pipelines and infrastructure.

Key Responsibilities

Design and Implement Scalable Data Pipelines: Design, implement, and maintain efficient data pipelines using cloud technologies to reliably and efficiently produce business-critical data.

Data Acquisition and Transformation: Collect, process, and clean data from diverse sources using SQL, Python, and other scripting languages.

Data Modeling and Warehousing: Assemble large, complex data sets that meet functional and non-functional business requirements, and design and optimize data models for efficient query performance and analytics.

Data Quality and Governance: Ensure data quality and consistency through rigorous validation and cleaning processes. Implement data governance and security best practices to protect sensitive information.

Data Tooling and Automation: Create data tools and automate data ingestion, transformation, and loading processes to streamline workflows and improve efficiency.

Collaboration and Knowledge Sharing: Collaborate with data scientists, analysts, and engineers to provide access to clean, reliable, and well-structured data. Mentor and share technical expertise with team members.

Stay Ahead of the Curve:



Stay up-to-date with the latest data technologies and industry trends to drive innovation.

Education & Experience

Bachelor's degree in Computer Science, Engineering, or a related field.

2-3 years of experience as a Data Engineer or similar role.

Key Skills & Attributes

Strong Technical Proficiency: Advanced proficiency in SQL and Python. Experience with data engineering tools and frameworks (e.g., Airflow, DBT).

Cloud Expertise: Knowledge of cloud platforms (AWS) and data warehousing concepts (Snowflake, Redshift, BigQuery).

Data Pipeline Development: Experience designing and building scalable and robust data pipelines to enable data-driven business decisions.

Data Modeling and Analysis: Experience with data modeling and data warehousing techniques. Strong analytical and problem-solving skills.

Data Quality and Governance: Experience in data quality assurance, data validation, and data security best practices.

Collaboration and Communication: Strong communication and collaboration skills. Ability to work independently and as part of a team.

Automation and Tooling: Experience with automation tools (e.g., Docker, Airflow) and creating data tools to improve efficiency.

API Integration: Experience importing and transforming data from third-party APIs.

Why Join Us This role offers an opportunity to work on cutting-edge data projects and contribute to the growth of our organization. If you're passionate about data, eager to learn, and thrive in a collaborative environment, we encourage you to apply.

📌 Data Engineer (Madrid)
🏢 Holaluz
📍 Madrid