DataOps Engineer
Spain - Barcelona
AstraZeneca
AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.Are you ready to make a positive impact in a team where it means more? As a DataOps Engineer, you'll be part of a global IT capability that supports the Global Operations organization. Our mission is to deliver more medicines to patients, quicker and more affordably. With a clear plan and investment backing, we combine cutting-edge science with leading digital technology platforms and data. This is your chance to innovate, disrupt an industry, and change lives through data, analytics, AI, machine learning, and more. Join us in our dynamic and challenging environment, where you'll have countless opportunities to learn and grow.
Accountabilities:
1. Leadership & Strategy
- Guide the development, execution, and implementation of roadmaps for data foundation platforms.
- Assess current state of platforms, define future state needs, identify gaps, and recommend new technology solutions.
- Understand data mesh and data product WoW, applying technology and tools to improve data product WoW.
2. Data Foundation Platforms
- Lead the design, implementation, and optimization of robust Data Foundation services.
- Manage and optimize the technology stack, ensuring alignment with security, architecture, compliance, and performance standards.
- Ensure automation is at the heart of our processes and technologies for effective delivery timeframes.
3. Innovation
- Drive innovation by staying informed about technology trends and thought leadership.
- Identify opportunities for innovation and promote initiatives to enhance platform capabilities.
4. Stakeholder Collaboration
- Act as a liaison between IT and Business Units, fostering strong communication and understanding.
- Partner with enterprise platform teams and architecture to ensure alignment.
5. Quality Assurance
- Implement robust quality assurance processes to ensure data accuracy, reliability, and security.
- Establish key performance indicators to measure platform effectiveness.
6. Project Technical Management
- Work collaboratively with technical and business resources to specify and deliver appropriate technical solutions.
- Design and implement cloud solutions following best practices in security and code patterns.
Essential Skills/Experience:
- Extensive experience in implementation & management of data, analytics & AI platforms.
- Extensive experience in CloudOps, DevOps, DataOps and infrastructure setup and maintenance.
- Experience in Data Foundation technologies (e.g., Snowflake, dbt, Data Catalogue (e.g., Collibra), Data Quality (e.g., Monte Carlo) & integration tools like Fivetran, Snaplogic, Qlikreplicate).
- Strong communication and interpersonal skills with Agile development methodologies experience.
- Influencer and negotiator who can align executives and senior stakeholders to a shared vision.
- Relevant technical degree or equivalent.
- GitHub Actions Development – Create and maintain GitHub Actions developed in-house.
- Python expertise.
- GitHub reusable workflows.
- Proven track record in engineering technologies with technical expertise connecting technology to business value.
- Ability to develop and champion innovation opportunities.
Desirable Skills/Experience:
- Awareness of use case specific GenAI tools available in the market.
- Working knowledge of basic prompting techniques with continuous improvement.
- Stay up-to-date with developments in AI and GenAI.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca offers an inclusive environment where you can thrive alongside diverse teams committed to making people's lives better. With a focus on sustainable practices and cutting-edge science, we drive automation and efficiency while supporting local and global communities. Here, you'll find opportunities for growth across our complex pipeline, backed by significant investment in hi-tech centers and Lean academies. Be part of a team that is key to achieving Zero Carbon by 2025 and carbon negative across the entire value chain by 2030.
Ready to step up and lead? Apply now to join us on this exciting journey!
Date Posted
30-jun-2025Closing Date
06-jul-2025AstraZeneca 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture DataOps Data quality dbt DevOps Engineering FiveTran Generative AI GitHub Machine Learning Monte Carlo Prompt engineering Python Security Snowflake
Perks/benefits: Career development Flex hours
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