Data Engineer

Data Engineer

Join a Trailblazing Team in Clinical Research Data Management

Step into a role that places you at the cutting edge of clinical trials, leveraging Electronic Health Record (EHR) data to revolutionise patient care and research. Based in the innovative Manchester Science Park, this position offers the chance to be part of a world-leading organisation dedicated to transforming healthcare through data.

• The salary for this role is £55K - £60K per annum.

• Successful candidate will be expected to be in the office twice a week - this is usually on Tuesdays and Thursdays but can be subject to change.

• Strong benefits package

This role focuses on the development, performance, management, and troubleshooting of ETL processes, data pipelines, and data infrastructure. The successful candidate will ensure the effective and reliable operation of these systems, adopting new tools and technologies to stay ahead of industry best practices. Collaboration across teams to define solutions, requirements, and testing approaches is essential, as is ensuring compliance with regulatory standards.

Key Responsibilities:

- Design, develop, maintain, and optimise data pipelines, ETL processes, and databases.
- Drive continuous improvement by refining processes and identifying new tools and standards.
- Collaborate with cross-functional teams to define solutions and testing approaches.
- Ensure compliance with regulatory requirements and audit readiness.
- Automate and monitor data processes to ensure quality and integrity.
- Provide guidance on databases and maintain accurate documentation.
- Deliver best practice infrastructure deployment and management processes.

Essential Skills and Experience:

- A relevant degree or equivalent professional experience in a data role.
- Minimum of 3 years’ experience in developing data pipelines and ETLs using Microsoft products, with at least 1 year working with cloud-native technologies like Azure Data Factory.
- Proven track record of delivering technical work within time and budget constraints.
- Strong understanding of data security best practices.
- Experience supporting ETLs or data pipelines crucial to a production system.
- Experience working in a cross-functional team to deliver technical solutions.

Desirable Skills:

- Proficiency with SQL Server, SSIS, Azure Data Factory, and Azure SQL.
- Experience with Cloud and infrastructure as Code, particularly in an Azure setting using Bicep.
- Understanding of DevOps practices.
- Skill in database testing; unit, performance, stress, security.
- Experience in agile teams and highly regulated industries.
- Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.
- Data science experience using R, Stata, or Python.
- Familiarity with Atlassian tools; JIRA, Confluence, BitBucket.
- Understanding of clinical trials, GCP, and GxP.

Personal Attributes:

- Strong collaboration skills, including teamwork, listening, and communication.
- Professionalism and a commitment to delivery and improvement.
- Curiosity and a passion for continuous learning.
- Attention to detail with a solution-oriented mindset.
- Adaptability in a dynamic environment.

This role is perfect for a dedicated professional eager to make a significant impact in the field of clinical research. Join a team where your expertise will drive innovations that benefit patients and advance clinical research models.