Data Engineer

Please note:
This role is not open to sponsorship.

We are looking for a Data Engineer to help design, build, and maintain scalable data platforms that support analytics, reporting, and operational decision-making. You will work closely with BI, Finance, and global cross-functional teams to deliver reliable, high-quality data solutions.

This role is ideal for someone who enjoys solving complex data problems, working with modern cloud tools, and contributing to continuous improvement in an agile environment.

• Develop and maintain scalable data infrastructure, cloud-native workflows, and ETL/ELT pipelines to support analytics, reporting, and operational use cases.
• Transform, model, and organize data from diverse sources to enable accurate reporting and data-driven insights.
• Improve data quality, reliability, and system performance by identifying issues and optimizing architecture and processes.
• Monitor, troubleshoot, and resolve data pipeline failures, discrepancies, and platform issues, including participation in on-call support when required.
• Prototype analytical tools, algorithms, and automation to support complex analysis and improve operational efficiency.
• Collaborate with BI, Finance, and global teams to deliver efficient, scalable data solutions.
• Create and maintain clear documentation, including configurations, specifications, test scripts, and project tracking materials.
• Contribute to Agile delivery, continuous improvement initiatives, and the evolution of data engineering best practices.

• Bachelor’s degree in Computer Science or a related technical discipline (or equivalent experience).
• 2–4 years of experience with SQL, such as Oracle, Postgre
  
  SQL, or similar databases.
• 2–4 years of experience with Java or Groovy.
• 2+ years of experience with orchestration and ingestion tools, such as Airflow or Airbyte.
• 2+ years of experience working with web service APIs (REST and/or SOAP).
• Experience with cloud data warehouse and ETL/ELT solutions is a plus (e.g., Snowflake, Redshift, dbt).
• Experience working in an Agile environment.
• Knowledge of version control systems (e.g., Git).
• Experience with automation, including unit and integration testing.
• Understanding of cloud storage concepts, such as S3, blob storage, or object buckets

• A proactive, logical thinker who takes initiative.
• Strong problem-solving and troubleshooting skills.
• Consultative mindset with the ability to understand requirements, identify risks, and make sound design recommendations.
• Ability to clearly explain design decisions and understand downstream impacts.
• Strong collaboration, prioritization, and adaptability skills in a fast-paced environment.

Please note:
This role is not open to sponsorship.