Senior Data Engineer - Full Remote

The role of Data Engineer involves designing, building, and maintaining robust data pipelines and systems that support business decision-making. This position is ideal for someone with expertise in data engineering and a passion for working in the business services industry.

Client Details

This opportunity is with a medium-sized company operating in the business services sector. The organization has a focus on technology and innovation, providing an engaging work environment for professionals seeking to contribute to impactful projects.

Description

• Develop, test, and maintain scalable data pipelines for processing large datasets.
• Collaborate with cross-functional teams to identify data requirements and implement solutions.
• Optimize and enhance data systems for improved performance and reliability.
• Ensure data security and compliance with relevant regulations.
• Implement data transformation and integration processes to support analytics and reporting.
• Monitor and troubleshoot data pipelines to address any issues proactively.
• Document technical processes and provide support to stakeholders as needed.
• Contribute to the adoption of best practices in data engineering and technology.

Job Offer

• Competitive hourly salary estimated between 1300 JPY and 1600 JPY.
• Opportunity to work on impactful projects in the business services industry.
• Temporary role with potential for skill enhancement and career growth.
• A supportive and innovative work environment in the technology department.
• Access to company benefits, subject to eligibility.

If you are ready to bring your data engineering expertise to the table, apply today to join a forward-thinking team in an exciting location!

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Chloe Wu on +81 3 6832 8653

A successful Data Engineer should have:

• A strong background in data engineering, including proficiency in relevant tools and technologies.
• Experience in building and maintaining data pipelines and ETL workflows.
• Knowledge of database systems, cloud platforms, and programming languages such as Python or SQL.
• Familiarity with data modeling and data architecture principles.
• An ability to work collaboratively with technical and non-technical teams.
• A proactive approach to problem-solving and process optimization.