Senior Data Engineer

Summary

Join Orium, a leading composable commerce consultancy, as a Senior Data Engineer. This critical role involves designing and implementing data fabric solutions, enabling real-time data orchestration, and supporting enterprise analytics. You will shape the Data Fabric Practice, build modern data architectures, and enable real-time data synchronization. Collaboration with cross-functional teams and optimization of the data ecosystem are key responsibilities. Orium is a remote-first company with a strong focus on employee well-being and professional development. This position offers a unique opportunity to contribute to a growing company at the forefront of technology.

Requirements

• 5+ years of experience in data engineering, with a strong focus on modern data ecosystems
• Expertise in cloud platforms like Google Cloud, AWS, or Azure
• Hands-on experience with ETL processes, real-time data pipelines, and integration tools (e.g., Apache Kafka)
• Proficient in JavaScript, Python, and/or Java
• Deep knowledge of data modeling, data architecture, and performance optimization
• Familiarity with AI/ML use cases and enabling analytics-ready data pipelines
• Exceptional communication and problem-solving skills
• Ability to collaborate with diverse teams, aligning technical execution with business priorities
• Fluency in both Spanish and English, with excellent written and verbal communication skills

Responsibilities

• Shape the Data Fabric Practice: Contribute to the development of accelerators, frameworks, and best practices for our data fabric offerings
• Build Modern Data Architectures: Design and deploy data fabric solutions to unify and simplify access to enterprise data; Enable seamless integration of data across diverse systems to support analytics, AI/ML, and decision-making
• Enable Real-Time Data Synchronization: Develop event-driven architectures using tools like Kafka, EventBridge, or Pub/Sub to ensure real-time data flow across platforms
• Collaborate with Cross-Functional Teams: Partner with stakeholders across engineering, data science, and business teams to align data solutions with strategic goals; Work with cloud providers (e.g., Google Cloud, AWS) and integration partners to deliver innovative solutions
• Optimize Data Ecosystem: Ensure the scalability, reliability, and performance of data pipelines and infrastructure to meet enterprise needs; Automate complex data integration processes

Preferred Qualifications

• Holding at least one relevant certification is a plus. Examples include: AWS Certified Data Analytics – Specialty, Google Professional Data Engineer Certification, Confluent Certified Developer for Apache Kafka
• Leadership experience or interest in mentoring junior team members
• Ability to express ideas
• Work under pressure
• Results oriented
• Leadership
• Effective communication skills
• Problem solver
• Proactivity
• Responsibility
• Commitment
• Honesty
• Kindness
• Organizational skills
• Teamwork
• Taste for learning new technologies
• Ability to work independently and in a team
• Self-study and research

Benefits

• Home office - You will work from home
• You will have fun and have good times together with extraordinary colleagues
• You will work towards goals and objectives
• You set the development and professional growth, we support you
• You decide where you want your career to go and we grow together
• Benefits of law
• Benefits ABOVE the law
• Cool work environment, with happy people