Senior Data Engineer at Harvey Nash

The Senior Data Engineer plays a critical role in our Data & Analytics team, focusing on the development and optimization of data infrastructure to support business insights. This expert-level position demands a deep understanding of data engineering principles and a passion for creating robust data solutions that drive decision-making and operational efficiency. In this hands-on role, you will design, build, and maintain scalable data pipelines and warehousing solutions using technologies like Databricks, PySpark, and SQL. You will be responsible for implementing ETL processes, ensuring data quality, and leveraging cloud data engineering practices to support modern data applications. Daily tasks will involve collaborating with cross-functional teams to gather requirements and deliver high-quality data products, utilizing your expertise in Python and data warehousing. As part of a dynamic team, you will have the opportunity to grow professionally by engaging in innovative projects and enhancing your technical skills. Collaborating with talented individuals will allow you to expand your knowledge in the ever-evolving field of data engineering. This role is unique in its blend of technical challenge and strategic impact, allowing you to contribute directly to the organization’s data-driven initiatives while shaping the future of our data architecture.

Design scalable data pipelines using Databricks to process large datasets efficiently. Build and maintain robust data warehousing solutions to optimize data storage and retrieval. Lead the development of ETL processes, ensuring seamless data integration and transformation. Architect cloud data engineering solutions that align with organizational goals and best practices. Drive data quality initiatives by implementing validation and monitoring frameworks. Collaborate with data scientists to tailor data applications that enhance analytical capabilities. Utilize Python and PySpark for developing efficient data processing scripts and algorithms.

Competitive salary and comprehensive health benefits to support your well-being. Flexible health plans including dental and vision coverage for you and your family. Generous paid time off and remote work options for better work-life balance. Work hours that promote a healthy balance between professional and personal life. Opportunities for continuous professional development and training programs. Access to workshops and industry conferences to enhance your skills. Inclusive work culture that values diversity and fosters collaboration. Fun team-building events and perks that promote a positive workplace atmosphere.