Specialist, Data Developer (Microsoft)

You are a highly skilled data professional with deep expertise in modern data platforms, cloud technologies, and advanced analytics solutions. You thrive in complex environments and excel at building scalable, reliable, and high-performance data pipelines and architectures. You bring a strong mix of technical depth and business acumen, with the ability to translate data requirements into impactful solutions. You are collaborative, detail-oriented, and passionate about leveraging data to drive innovation and business value. You are comfortable working with large data sets, emerging technologies, and cross-functional teams, while maintaining a strong focus on data quality, governance, and continuous improvement. 8-10 years of experience in data development, data engineering, or related roles Proven experience building data pipelines, ETL processes, and enterprise data solutions Undergraduate degree in Computer Science, Data Science, Software Engineering, or a related field Advanced knowledge of IT service management and end user services Strong understanding of ITIL and service management best practices Experience leading teams and influencing stakeholders across regions Strong communication and stakeholder management skills Ability to operate effectively in high‑pressure, 24x7 operational environments Structured, analytical, and service‑oriented mindset Focus on standardization, automation, and continuous improvement In This Role, You Will Data Pipeline Development Design, develop, and optimize scalable data pipelines for ingesting, transforming, and distributing data across multiple systems Build and maintain ETL processes to prepare, cleanse, and transform data from diverse sources (databases, APIs, files, IoT, applications) Automate workflows to improve reliability and reduce manual intervention Ensure pipelines are fault-tolerant, performant, and aligned with data governance standards Build and maintain data lakes, warehouses, semantic models, and analytics environments Ensure data solutions support both batch and real-time processing needs Develop and maintain end-to-end data solutions for reporting, dashboards, and advanced analytics Deliver innovative solutions using modern analytics, AI, and visualization tools Collaborate with stakeholders to define data requirements and deliver actionable insights Develop reports and dashboards that provide actionable insights into performance and operations Ensure data accuracy, integrity, and consistency across reporting solutions Collaborate with data scientists to build, optimize, and deploy ML/AI models Develop data pipelines to support advanced analytics and AI initiatives Ensure data practices comply with governance frameworks, security standards, and regulatory requirements Monitor data quality, pipeline performance, and model accuracy Implement controls to protect sensitive data and ensure data integrity Manage relationships with vendors and ensure delivery of high-quality solutions Support transition of solutions from development into production environments Support knowledge sharing, training, and stakeholder communication Contribute to continuous improvement and adoption of best practices Azure Cloud certifications Data Engineering / Data Development certifications Databricks, ML/AI, or Advanced Analytics certifications Certified Data Management Professional (DAMA)