Experience within HealthTech or Life Sciences markets?

Please read the following job description thoroughly to ensure you are the right fit for this role before applying.

Azure Data Engineers wanted by a London based company at the forefront of revolutionising healthcare through cutting-edge technology and data-driven solutions.

Their mission is to improve patient outcomes and streamline healthcare processes by leveraging the power of data. As an Azure Data Engineer, you will play a crucial role in designing, developing, and maintaining the data infrastructure. Working closely with data science, analytics and engineering teams to ensure that data systems are robust, scalable and secure.

The business is already a well established leader within their domain. However, they like to keep team sizes quite small as they want people to have a major say and influence on projects.

Key Responsibilities:

• Design, implement, and manage data pipelines using Azure Data Factory, Databricks, and other Azure services.
• Develop and maintain data models, data warehouses, and data lakes on the Azure platform.
• Ensure data quality, integrity, and security across all data systems.
• Collaborate with data scientists and analysts to provide data solutions that meet business needs.
• Optimise data processes for performance and scalability.
• Monitor and troubleshoot data infrastructure, resolving any issues that arise.
• Stay up-to-date with the latest advancements in Azure technologies and best practices.

Qualifications:

• Proven experience as a Data Engineer, with a strong focus on Azure.
• Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics.
• Strong SQL and Python skills.
• Experience with data modeling, ETL processes, and data warehousing.
• Knowledge of big data technologies such as Spark and Hadoop is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Experience in the healthcare sector is a plus but not required.

The successful Azure Data Engineer will earn up to £60,000 and in addition there are exceptional benefits which come as part of the overall package including: 15% Bonus, 7% Pension contribution, training fund, weekly team lunches, travel loans and numerous soft leisurely benefits. The team tends to come together 2 days a week for some collaboration, but only when it adds value to do so.

Spencer Scott Ltd is an equal opportunity Recruitment Agency, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to create inclusive working environments for all our clients.