Data Integration Engineer

Job Description

We are looking for a Data Integration Engineer to design and build robust data pipelines, ETL processes, and API integrations for our enterprise clients. You will connect disparate systems, unify data from multiple sources, and build the data foundations that power analytics and AI initiatives.

What You'll Do

• Design, build, and maintain ETL/ELT pipelines using dbt, Apache Airflow, and Azure Data Factory
• Develop RESTful and GraphQL API integrations connecting SaaS platforms and enterprise systems
• Implement real-time data streaming solutions using Apache Kafka and Azure Event Hubs
• Load and model data into cloud data warehouses - Snowflake, Azure Synapse, and BigQuery
• Implement data quality frameworks - validation, cleansing, anomaly detection, and lineage tracking
• Collaborate with data analytics and AI teams to deliver integrated data solutions
• Document integration architectures, data mappings, and pipeline specifications

What You'll Bring

• 3+ years of experience in data engineering or integration
• Strong SQL skills and experience with cloud data warehouses (Snowflake, BigQuery, or Azure Synapse)
• Hands-on experience with ETL tools - dbt, Fivetran, Talend, or Azure Data Factory
• Experience with API development and integration (REST, GraphQL, webhooks)
• Proficiency in Python for data transformation and pipeline development
• Understanding of data modelling concepts and dimensional modelling
• Experience with workflow orchestration tools - Apache Airflow or Prefect

Nice to Have

• Experience with real-time streaming - Apache Kafka or Azure Event Hubs
• Knowledge of data governance and data quality frameworks
• Experience with MuleSoft or other iPaaS platforms
• Snowflake or dbt certifications

What We Offer

Flexible and hybrid working options

Learning and certification budget

Competitive salary package

Collaborative team environment

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