Join Our Team as a Senior Data Engineer!

Are you passionate about leveraging data to drive insights and innovation? YanTech Associates is seeking a talented Senior Data Engineer to enhance our dynamic Data & Analytics team, offering cutting-edge statistical and AI-driven solutions to the Life Sciences sector. This remote position offers the chance to significantly impact our strategies by developing a centralized Data Warehouse infrastructure.

About YanTech Associates:

We partner with key players in the Life Sciences industry to provide innovative software solutions focused on risk planning and operational monitoring in clinical trials.

Role Overview:

As a Senior Data Engineer, you'll be at the forefront of designing and implementing scalable data architecture solutions using Azure. You’ll ensure the performance, reliability, and integrity of data integration processes, and develop insightful Power BI dashboards for stakeholders.

Key Responsibilities:

• Design and implement effective data architecture on Azure.
• Lead data integration processes while maintaining high data quality and reliability.
• Develop and manage Power BI dashboards.
• Collaborate with business stakeholders and maintain precise documentation.
• Thrive in a hybrid working environment across global teams.

Requirements:

• Proficiency in SQL with over 5 years of experience in data engineering roles.
• Deep expertise in Azure Data Factory, SQL Databases, and Power BI.
• Proven track record of building data warehouses and KPI reporting.
• Capability to manage multiple projects independently.

Benefits:

Joining YanTech Associates means you will work remotely with a competitive salary, excellent pension scheme, over 30 days of annual leave, and many more attractive benefits.

Apply Today!

If you are a data wizard with a knack for creating innovative solutions in the Life Sciences industry, we would love to hear from you. Take the first step towards transforming the future of data-driven applications by applying to be a part of our team.

Keywords: Data Engineer, SaaS, Life Science, Azure Data Factory, Power BI, Remote, Data Warehouse, SQL