Senior Data Engineer

About the Role As a Senior Data Engineer, you will play a key role in the development and maintenance of the organization's data infrastructure. Working within a multi-disciplinary team led by the Manager, Data Engineering, you will focus on building and optimizing scalable data pipelines and supporting the delivery of high-quality, reliable data solutions. What You'll Do

• Develop and maintain scalable data pipelines to support operational and analytical needs.
• Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions that align with organizational goals.
• Optimize and maintain cloud-based data infrastructure (e.g., Snowflake, Azure) for performance and cost-efficiency.
• Ensure the integrity, reliability, and security of data through robust testing and validation practices.
• Support the implementation of data governance practices, working closely with the Data QA Specialist and Data Governance Lead.
• Monitor and troubleshoot data pipeline performance issues, proactively resolving bottlenecks and incidents.
• Contribute to the design and implementation of data models and schemas that meet business requirements.
• Stay updated on emerging technologies and best practices, recommending improvements to existing processes and tools. What We're Looking For
• Must-Have Experience:
• 4+ years of experience in data engineering or a similar role.
• Hands-on experience building and maintaining data pipelines, ETL processes, and integrations.
• Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, Scala).
• Experience with cloud data platforms such as Snowflake or Azure.
• Solid understanding of data modelling principles and database management systems.
• Technical Skills:
• Knowledge of big data frameworks and processing tools (e.g., Snowflake, Airflow, dbt, Apache Spark, Hadoop).
• Familiarity with DevOps practices, including CI/CD pipelines and version control systems (e.g., Git).
• Understanding of data governance principles, quality frameworks, and security best practices.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
• Soft Skills:
• Strong problem-solving skills with attention to detail.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A proactive attitude, with a willingness to learn and take ownership of tasks.
• Education:
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Relevant certifications in data engineering or cloud technologies are a plus. Nice to Have
• Optional/preferred qualifications (only if mentioned)
• Experience in the retail or fashion industry, with exposure to its data Compensation & Benefits
• Salary: Competitive