Senior Manager - Data Engineering (ITDG)

We are always looking for talented individuals who share this passion. Whether you are a data scientist, software engineer, or biomedical professional, we have opportunities for you to make an impact and grow your career.

As a member of our team, you will have the opportunity to work with new and emerging technology, and contribute to positive impacts for society. You will be part of a collaborative and dynamic work environment that values creativity, innovation, and diversity.

We are committed to supporting our employees’ growth and development through ongoing learning opportunities, mentorship, and career advancement programmes. We believe in fostering a culture of continuous improvement and are dedicated to investing in our people.

Role and Responsibilities

1. Develop TRUST data strategy
1. Oversee data preparation and data provisioning for TRUST Users
2. Oversee implementation of common data model and data quality programme in TRUST and MCDR

1. Work with stakeholders to understand data analytics needs, data structure requirements (both in terms of scalability and accessibility), and translate this into a coherent near to long term data strategy for TRUST.
2. Support translation of data business needs into technical system requirements for MCDR, in terms of collection, storage, batch and real-time processing, as well as analysis of information from structured and unstructured sources in a scalable, repeatable, and secure manner.
3. Identify opportunities for improvements and optimisation e.g., Implement best practices and performance optimization on Big Data and Cloud to achieve the best data engineering outcomes.
4. Collaborate with data engineers to organise and prepare anonymised datasets in MCDR according to TRUST standards, and then providing the data in accordance with the approved TRUST Data Request. This involves working with the data engineers closely to ensure that the datasets meet the required standards and are made available as per the specific data request guidelines set by TRUST.
5. Work with data analysts, data scientists, clinicians and other stakeholders to implement common data models to support analytics use cases.
6. Design and implement tools to enhance the data strategy and enable seamless integration with the data, potentially leveraging API calls for efficient integration.
7. Implement data management standards and practices.

Requirements / Qualifications

1. Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.
2. At least ten (10) years of relevant working experience in Data management / Integration / Modelling the data warehouse or advanced analytics solutions.
3. Demonstrate good, in-depth knowledge in relevant Extract-Transform-Load (ETL) hardware/software products, frameworks, and methodologies.
4. Experience in designing and implementing cloud-based data solutions using cloud platforms (e.g., AWS cloud native tools)
5. Experience with at least two of the following areas:
   • Databases (e.g., Oracle, MS SQL, MySQL, Teradata)