Senior Azure Data Engineer

Accellor is an AI-first digital transformation partner built for the next generation of enterprise. We help global organizations turn cloud, data, and AI into real, measurable business outcomes at scale.

At Accellor, people come first. You’ll be trusted, empowered, and challenged to solve meaningful problems, collaborate with exceptional teams, and continuously grow your skills while building solutions that matter.

Trusted by Fortune 100 companies and global innovators, we work across industries delivering AI solutions, data platforms, and product engineering using modern, scalable technologies. If you want your work to create real impact and shape the future of enterprise, Accellor is where it happens.

We are seeking a skilled Senior Azure Data Engineer with knowledge and experience in both Data and Development. This role combines technical expertise and a deep understanding of business processes to deliver impactful business solutions. The ideal candidate will have extensive experience in building scalable data pipelines, automating data processes, and be able to contribute to projects from beginning to end and achieve business objectives.

• Develop and maintain robust data pipelines to collect, transform, and process large datasets from various sources, ensuring timely and accurate delivery of data for analytics and reporting.
• Strong experience in performance tuning databases, procedures, and functions, with a focus on optimizing data architecture, scalability, and cost savings.
• Pipeline Development: Design and implement scalable data integration pipelines using Azure Data Factory (ADF) and Azure Databricks.
• Data Modeling: Create and maintain complex data models in Azure Synapse Analytics and Azure SQL Database to support business intelligence needs
• Work with the Lead Engineer to automate business processes, automate the movement of data within the organization, and orchestrate the exchange of data with external partners.
• Collaborate with other department managers and business leaders to complete organizational goals and strategic priorities and support critical processes.
• Optimize data architecture and performance by leveraging modern technologies and by implementing performance-tuning strategies for databases, procedures, and functions.
• Automate data workflows to improve efficiency and scalability, while ensuring data integrity, hygiene, and cost efficiency.
• Work closely with business stakeholders to gather requirements, translate them into technical specifications, and deliver solutions within project timelines.
• Troubleshoot and resolve data and reporting issues, driving continuous improvement in analytic capabilities.

Requirements

• Bachelor’s degree is preferred in Computer Science, Data Engineering, with over 12+ years of professional experience.
• A proven track record in building scalable data pipelines and automating data processes through programming, scripts, APIs, and platform tools.
• Strong expertise in modern data tools and technologies, including SQL Server, Microsoft Fabric, Data Bricks, Azure Functions, ADF, Synapse, Python, C# / .NET, and APIs.
• Cloud Platform: Proven experience with the Azure Data Stack (ADF, Synapse, Databricks, ADLS).
• Languages: Strong proficiency in SQL and Python (PySpark). Knowledge of Scala or C# is a plus.
• Deep understanding of data integrity and hygiene, with a commitment to maintaining high standards of data quality.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.