Exciting Remote Role: Data Engineer

Job Title: Data Engineer

Location: Remote opportunity

Duration: 12-Months with a possible extension

Job Title:

• We are seeking a skilled Data Engineer to join our team on a 12-month remote contract.
• The ideal candidate will have strong hands-on experience building scalable data pipelines and working with modern cloud-based data platforms.
• This role requires expertise in data processing, automation, and performance optimization across large-scale data systems.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/data pipelines in cloud environments.
• Build and manage both batch and real-time (streaming) data processing workflows.
• Develop and optimize data transformations using Python, SQL, and Apache Spark.
• Implement robust data solutions using Databricks and Azure Data Factory.
• Ensure data pipeline reliability, scalability, and performance through monitoring and optimization.
• Collaborate with cross-functional teams, including analysts, BI developers, and DevOps engineers.
• Support reporting and analytics initiatives by enabling clean, well-structured datasets for BI tools.
• Apply best practices in data quality, testing, version control, and CI/CD automation.

Required Skills:

• Programming: Python, SQL
• Data Processing: Apache Spark, Databricks, Azure Data Factory
• Streaming Technologies: Kafka, Google Pub/Sub (or similar messaging systems)
• DevOps & Automation: Git, Jenkins or GitHub Actions, Azure DevOps, Terraform, Docker
• Visualization & Reporting: Power BI, Tableau, or similar BI tools

Nice to Have:

• Experience with data lake and/or data warehouse architectures (e.g., Lakehouse concepts).
• Knowledge of data governance frameworks and data quality tools.
• Familiarity with CI/CD pipelines and automated data testing best practices.