Senior Data Engineer

360training

is a rapidly growing leader in online training and live training across a wide range of industries and professions. provides customers with the regulated training they need to get and keep jobs they want. Over the years, we have continued to grow our expansive library of regulatory-approved training courses with new content suited for today's modern workforce. By offering these courses online, all users experience the convenience and flexibility of earning their certifications in their own time, from anywhere in the world.

At , we promote a culture of excellence centered around our two core values: Deliver Results and Do the Right Thing. That focus fosters the success of our employees, while maintaining a team-centric environment which inspires them to do their absolute best. One thing our associates get to experience is the ability to make an impact on day one of working here.

360training offers a compelling compensation package that ties to performance and impact. We offer statutory benefits, medical insurance, life insurance, paid time off, learning and growth opportunities, and a comprehensive employee engagement and wellness program.

Senior Data Engineer

We are seeking an experienced and highly skilled Senior Data Engineer to join our innovative and fast-paced team. This role is vital in designing, developing, and optimizing complex data architectures that support our business needs. With a deep technical expertise in SQL Server, Azure Data Factory, Microsoft Fabric, and Databricks, you will take on the most challenging data engineering tasks, driving the implementation of scalable ETL pipelines and advanced reporting solutions. Your extensive experience across a wide range of data technologies will enable you to deliver high-performance data solutions and drive the evolution of our data ecosystem to support critical business objectives. This role is ideal for a seasoned professional who thrives in solving complex data challenges and implementing the latest innovations in data engineering.

Key Responsibilities

• Design, develop, and optimise scalable data pipelines, ETL processes, and data integration solutions using SQL Server, Azure Data Factory, Microsoft Fabric, and Data bricks.
• Architect and implement robust data models and solutions that support the organization's reporting and analytics needs, ensuring high performance and scalability.
• Maintain SQL Server Reporting Services (SSRS) while transitioning legacy reporting to modern platforms such as Power BI.
• Collaborate with business stakeholders to gather data requirements and translate them into technical solutions that drive business insights.
• Ensure data accuracy, integrity, and quality by implementing effective data governance, security, and compliance measures.
• Develop and support high-performance querying solutions using Delta Lake and serverless SQL environments.
• Implement version control and continuous integration/deployment (CI/CD) pipelines using Git or other similar tools.
• Proactively identify and resolve bottlenecks, optimizing existing data infrastructure to improve efficiency and scalability.
• Drive the adoption of Azure data services and related cloud technologies across the data engineering team.
• Provide advanced troubleshooting and performance tuning expertise for SQL and data integration solutions.

Required Skills

• 5+ years of experience in data engineering with a strong focus on SQL Server, Azure Data Factory, and Databricks or MS Fabric.
• Proficient in SQL development, including stored procedures, query optimization, and performance tuning.
• Extensive experience with ETL development and data integration from a range of sources including SQL, DB2, Mysql, Azure Blob, and APIs.
• Expertise in designing and optimizing data models.
• Hands-on experience with SSRS and the ability to modernize legacy reporting by transitioning to Power BI.
• Knowledge of Azure core services, including Logic Apps, Azure Functions is a plus.
• Familiarity with data governance and best security practices.
• Experience with Agile methodologies and tools like Atlassian JIRA for managing tasks and workflows.
• Proficiency with version control systems such as Git and deployment automation tools.
• Proven ability to architect scalable data solutions that drive business objectives and operational efficiencies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience in data engineering roles, with a track record of successful data project implementations.
• Strong analytical and problem-solving skills, with a passion for continuous learning and innovation.
• Excellent communication and collaboration skills, with the ability to lead and inspire teams.