Member of Technical Staff, Data Engineering

Member of Technical Staff, Data Engineering Overview

Join Odyssey as a Member of Technical Staff in Data Engineering, where you will play a crucial role in designing and maintaining the company’s data infrastructure. Your responsibilities will include developing scalable data pipelines, collaborating with cross-functional teams to ensure data quality, and implementing best practices for data storage and processing. You will work with modern data processing frameworks and cloud platforms to support the company’s analytical and operational objectives.

Key Responsibilities

• Design, develop, and sustain scalable data pipelines and infrastructure to facilitate data collection, transformation, and analysis.
• Work closely with data scientists, analysts, and other engineering teams to maintain data integrity, quality, and accessibility.
• Apply best practices in data storage, transformation, and retrieval to enhance system performance and reliability.
• Contribute to shaping the company’s data architecture and strategic data initiatives.
• Identify and troubleshoot issues within data workflows and pipelines to ensure uninterrupted data flow and availability.

Qualifications and Skills

• Extensive experience in constructing and managing large-scale data pipelines and engineering solutions.
• Strong coding skills in languages such as Python, Java, or Scala.
• Experience with data processing frameworks like Apache Spark, Hadoop, or similar technologies.
• Deep understanding of database systems, data warehousing, and ETL processes.
• Familiarity with cloud services such as AWS, GCP, or Azure is advantageous.
• Knowledge of data modeling, schema design, and data governance principles.
• Excellent problem-solving abilities and teamwork skills.
• Educational background in Computer Science, Engineering, or an equivalent field, or practical experience in data engineering.

Benefits

• Competitive salary aligned with your experience and skills.
• Opportunities for career advancement within a forward-thinking organization.
• Access to innovative data engineering tools and platforms.
• Supportive and inclusive work environment fostering collaboration.
• Flexible working options may be available.

This role does not specify a particular working pattern, indicating potential flexibility or remote work options.

Regarding visa sponsorship, the company explicitly states that they offer visa sponsorship for this position, making it accessible to candidates requiring sponsorship to work in the UK.

Degree Requirement: Not Specified

Visa Sponsorship Promising