Data Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design, create, test, and sustain data solutions, applications, and data pipelines.

• Engage in Agile ceremonies, backlog refinement, sprint planning, and prioritization activities.

• Assist in the design, implementation, and upkeep of scalable, secure, compliant, and dependable data architectures.

• Collaborate with data scientists, analysts, software engineers, and business stakeholders to deliver data-driven solutions.

• Oversee data platform performance and execute enhancements to optimize efficiency and minimize latency.

• Proactively ensure data quality, reliability, and operational excellence across data systems.

• Assess and facilitate the integration of new data technologies, tools, and architectural methodologies.

• Aid in defining and executing the vision for Business Intelligence and Data Warehousing throughout the organization.

• Establish cross-functional relationships with Data Scientists, Product Managers, Software Engineers, and business stakeholders to address data requirements.

• Advocate for best practices in data engineering and cultivate a culture of continuous improvement.

• Participate in strategic planning for data initiatives, assisting in defining objectives and execution roadmaps.

• Convey complex technical concepts and project updates to both technical and non-technical audiences.

• Mentor and support team members when appropriate.

• Promote a collaborative team culture founded on transparency, accountability, and growth.

⛳️ Requirements

• Commercial experience with Python.

• Strong SQL proficiency (any major SQL dialect).

• Experience utilizing Git for source control and version management.

• Familiarity with Agile/Scrum methodologies.

• Practical experience with AWS services.

• Understanding of AWS security best practices for data-related products.

• Experience with application containerization using Docker.

• Experience in developing and maintaining data pipelines.

• Knowledge of data quality, data governance, and data engineering best practices.

• Strong comprehension of the software development lifecycle (SDLC).

• Excellent analytical and problem-solving abilities.

• Outstanding communication and stakeholder management skills.

🏝️ Benefits

• Flexible working hours.

• Professional development opportunities.