At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at
https://www.jnj.com .
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Engineering
Job Category:
Scientific/Technology
All Job Posting Locations:
Blackpool, Lancashire, United Kingdom, Leeds, West Yorkshire, United Kingdom
Job Description:
Role:
Data Engineer
Location:
Remote
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at
https://www.jnj.com/ .
Job Summary
We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, data architecture, and data integration. This role involves building and maintaining scalable data pipelines, ensuring data quality and integrity, and supporting data analytics initiatives. You will work closely with internal customers, product owners, core team members, and other stakeholders to ensure that quality data is available, reliable, and easily accessible in a cost-effective, efficient, and scalable way.
Key Responsibilities:
Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines to collect, process, and store large volumes of data from various sources.
Data Integration: Integrate data from multiple sources, including APIs, databases, and external datasets, ensuring data consistency and reliability.
Data Modelling: Develop and maintain data models and schemas that support efficient data storage, retrieval, and analytics.
Database Management: Manage and optimize databases, ensuring their performance, availability, and security.
Data Quality: Implement and monitor data quality checks to ensure the accuracy, completeness, and consistency of data. Perform analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Automation: Configure data extraction and load jobs and automate repetitive tasks and processes to improve efficiency and reduce errors. Improve performances of jobs and pipelines by applying optimisation and automation techniques.
Documentation: Maintain clear and comprehensive documentation of data pipelines, data models, and data integration processes. Maintenance of time allocation reports.
Develop understanding of business/ processes and high-level understanding of high-quality digital product delivery
Ways of working: Follow Agile and SDLC processes including the creation of data related user stories. Perform code peer reviews and testing as per SDLC or industry standards.
Collaboration: Work closely with internal customers, product owners, various core team members, and other stakeholders to understand their data needs and provide appropriate solutions. Technical collaboration and oversight with Vendors as required. Create SOWs and work packets with vendors as required.
Education:
Bachelor’s or master’s degree in computer science, data science, software engineering, information systems or a similar field or equivalent experience.
Experience and skills:
Proven experience (>6 years) as a Data Engineer or in a similar role.
Experience with data pipeline, ETL and workflow management tools (e.g., Databricks, Data Factory).
Proficiency in programming languages such as SQL, Python, R, or Scala.
Substantial knowledge and experience with Python libraries such as PySpark and Pandas.
Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, SQL Server).
Excellent problem-solving and analytical skills.
Strong understanding of data architecture, data modelling, and ETL processes.
Ability to work in a fast-paced, dynamic environment and manage multiple tasks simultaneously.
Strong communication and collaboration skills.
Experience with best practice UX / UI design & development of Business Intelligence data visualisation / exploration tools (Power Bi, Qlik etc)
Familiarity with SDLC and Agile ways of working.
Familiarity with DevOps tools and practices (e.g. Jenkins, Azure DevOps, etc).
Familiarity with Atlassian tools like Bitbucket, JIRA, Confluence.
Preferred:
• GxP and Non GxP SDLC experience
• Knowledge of data governance and data security best practices.
• MS Power Platform / power apps experience
• Cloud DevOps knowledge (e.g. Terraform)
• Certifications in cloud data technologies (e.g. Azure Data Fundamentals)
• Basic data science experience and knowledge.
Other:
• English language required.
• May require travel 10-20% of time based on project locations.
This is an opportunity to work with a groundbreaking medical device operation and to be a member of a Johnson & Johnson company, with an excellent record in employee continuous professional development and business improvement.
We are passionate about our work; we play vital roles across a range of professional disciplines and care deeply about our customers and communities. At Johnson & Johnson our culture enables dynamic and impactful careers.
Whether you’re one of the 1000 people who work here, or you’re considering joining the team, we offer:
An opportunity to be part of a global market leader.
A dynamic and inspiring working environment.
Opportunities to work on challenging projects and assignments.
Possibilities for further personal and
professional development/education
Excellent
Benefits
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