Data Engineer

Holaluz; Barcelona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A technology-driven energy company in Barcelona is seeking a Data Engineer to transform raw data into actionable insights. In this role, you'll design and implement scalable data pipelines, work closely with a team of data professionals, and ensure data quality through rigorous processes. Candidates should have a Bachelor's degree and 2-3 years of experience in data engineering, proficiency in SQL and Python, and knowledge of cloud platforms like AWS. This opportunity promises growth and exposure to cutting-edge technologies.

Formación

• 2-3 years of experience as a Data Engineer or similar role.
• Strong technical proficiency and analytical skills.

Responsabilidades

• Design and implement scalable data pipelines.
• Collect, process, and clean data from diverse sources.
• Assemble large, complex data sets and optimize data models.
• Ensure data quality and consistency through validation.
• Create data tools and automate ingestion and transformation.
• Collaborate with data scientists and mentor team members.
• Stay updated on data technologies and industry trends.

Conocimientos

SQL

Python

Data Engineering Tools

Cloud Platforms (AWS)

Data Analysis

Collaboration

Automation Tools (Docker, Airflow)

API Integration

Educación

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

Herramientas

Airflow

DBT

Snowflake

Redshift

BigQuery

Descripción del empleo

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.