AstraZeneca is currently looking for an IT DataOps Engineer to join our R&D; IT Solution Delivery Team to manage and maintain our SaaMa product, which is GxP compliant, part of Clinical Development Platforms, and used across late-stage science teams in all therapeutic areas. You will be part of our BizDevOps team and will be responsible for working cross-functionally with other team members such as the Product Lead, DevOps Lead, and technical engineers.
Key Responsibilities
The role of our adecuado candidate will include, but is not limited to:
Build, Test, Deploy, and Release
: Follow standard SDLC and ITIL processes using Agile methodology to deliver fixes and enhancements
Application Management
: Work on application enhancements and upgrades when necessary, and be open to tackling challenging tasks/requirements
Ticket Ownership
: Take ownership of assigned L2/L3 level tickets/tasks and drive them to closure
Troubleshooting
: Troubleshoot application issues by reviewing application logs and performing dry runs of application code. Identify issues and provide fixes through application code changes if necessary
Issue Resolution
: Provide resolutions for user-reported issues within defined timelines (as per internal SLA/OLA standards)
Proactive Monitoring
: Monitor ticketing queues and other support channels proactively to quickly acknowledge and respond to user-reported issues while meeting defined response SLAs
Collaboration
: Liaise with other internal teams/vendors (third-party suppliers) as applicable for addressing application issues and project needs
Communication
: Send detailed and timely communications to users in case of planned/unplanned outages. Lead outage calls and drive them to resolution
Documentation
: Follow good documentation practices, including creating Knowledge Base Articles (KBAs) and publishing them for quicker and easier access
Backlog Management
: Create backlogs/stories/epics in JIRA (as appropriate) and work on them based on business priority
Stakeholder Engagement
: Excel at collaborator engagement
Continuous Learning
: Constantly strive to learn and upskill according to the organization's goals and demands
Essential Requirements
3-5 years
of working experience with analytical and reporting tools (Crystal Reports, MicroStrategy/Business Objects (BO), or equivalent)




Experience in
data engineering
and
data pipelines
is an advantage
Experience working with
inbound and outbound integration
and
data Extract, Transform, and Load (ETL)
Ability to work effectively as a member of multi-functional teams across programming, biostatistics, data management, and clinical sciences
Knowledge of
relational databases
and experience using multiple clinical data management systems
Excellent
written and verbal communication
and
relationship management
skills
Experience working with
JIRA, Confluence, BitBucket
Experience with
Cloud Platforms
such as
AWS
or
Azure
Ability to work independently with minimum supervision
Self-motivation and ability to contribute to rapidly evolving programs
Nice to Have
Experience with
change management processes
in GxP-validated SaaS environments
Knowledge of
Agile/Scrum methodology
Engineering mindset to help design and implement Clinical Data Solutions adhering to a Products on Platform delivery model
Ability to manage diverse stakeholders and ensure delivery to a high degree of satisfaction
Ability to work independently in a dynamic, fast-moving environment
Confident communication and interpersonal skills to lead customers, from technical personnel to senior stakeholders, in urgent or critical situations
Knowledge of using/creating
build tools
and
CI/CD
(Maven, Ant, SonarQube, or similar tools)
Experience programming in
Java
or other
object-oriented programming languages
Experience delivering or developing workshop material, training, gap analyses, or requirements gathering sessions with business and system stakeholders
Big Plus if You Know
EDC build (Rave)/Inform
and
global library maintenance
support experience
Experience with
SaaMa/Life Science Data Hub/e-Clinical
platforms




Experience working in a global organization where stakeholders and project team members are geographically dispersed
Experience assisting in specialized analysis and reporting standards development activities (e.g., clinical coding, clinical dictionaries, and data analysis & reporting standards such as SDTM, ADaM, TLFs) or expertise in Biometrics functions (e.g., Programming or Statistics)
Accredited certifications
from SCDM/ACDM or any vendor-offered data management training
End-to-end knowledge of
clinical trial development processes
and associated system landscapes
Experience implementing
IT Solutions Industry Standards
(e.g., SDTM CDISC) in either collection (CDASH) or tabulation (SDTM)
Good understanding of
FDA/ICH guidelines
for clinical study data
Experience working with
external vendors and CROs
to support Standards or EDC integrations with third-party platforms (Central Lab, ePRO, IRT, Data Review/Monitoring, etc.)
Educational Requirements
Bachelor's or Master's degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology, Biostatistics, or equivalent experience.
Why Join Us?
Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Make the impossible possible by building partnerships and ecosystems, creating new ways of working, and driving scale and speed to deliver exponential growth. Focused and committed, and backed with the investment to succeed, we're driving cross-company change to disrupt the entire industry.
So, What's Next?
Are you up for an exciting challenge and ready to make a difference? If so, hit
Apply
today—we can't wait to hear from you!
Date Posted
21-ene-****
Closing Date
05-feb-****
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

📌 Dataops Engineer (Guadalajara)
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