Data Engineer

About the role

We are looking for a Data Engineer to own end‑to‑end data pipelines and migrations on Azure. You will design, build, and support reliable, production‑ready data solutions that power our web and mobile applications while collaborating with engineers and stakeholders in a fast‑paced environment.

Key responsibilities

• Design and execute data migrations between systems, including mapping, transformation, validation, and reconciliation.
• Build, maintain, and monitor production data pipelines and APIs.
• Develop scripts and services for data movement and validation.
• Model data, analyze source and target schemas, and write complex SQL queries.
• Work with relational (SQL Server) and NoSQL (MongoDB) databases.
• Identify and resolve data quality issues during migration.
• Support the full delivery lifecycle: design, development, deployment, testing, monitoring, and ongoing support.
• Contribute to data‑quality discussions, test strategy, and automation.

Required profile

• 3+ years of experience in a Data Engineering role.
• At least 5 years delivering production software solutions.
• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• Strong verbal and written communication skills.

Required skills

• Python (production‑grade pipelines).
• SQL and NoSQL databases – SQL Server, MongoDB.
• Azure data tools – Azure Data Factory, Azure Data Lake, Microsoft Fabric.
• Git or other distributed version‑control systems.
• REST APIs, JSON, testing, security, and performance best practices.