Key Facts

Remote From:

Portugal , Spain

Full time

Mid-level (2-5 years)

Spanish, English

Hard Skills

Other Skills

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Communication
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Time Management
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Teamwork
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Analytical Thinking

Job description

We are looking for a "Data Engineer - Medicine & Analytics", for our pharmaceutical client.

This role offers more than a position — it provides the opportunity to shape the future of data and analytics within Medicine. As a Data Engineer, you will build and evolve reliable, scalable data products that enable high‑impact insights, accelerate decision‑making, and improve patient outcomes.

You will be a key contributor in delivering a modern data ecosystem across cloud and enterprise platforms. With a strong engineering mindset, you’ll drive change, embrace continuous improvement, and thrive in a fast‑moving environment where priorities evolve day by day.

TASKS & RESPONSIBILITIES 🚀:

• Design, build, and maintain end‑to‑end data pipelines and integrations to support Medicine & Analytics use cases (batch and event‑driven patterns where relevant).
• Develop, operate, and optimize integrations using SnapLogic and AWS services such as S3, AWS Lambda, and AWS Glue to ensure robust ingestion, transformation, and orchestration.
• Implement and maintain analytics‑ready data models in Snowflake, ensuring performance, scalability, and cost‑efficient design.
• Build transformation logic and analytics layers using dbt, including modular modeling, testing, documentation, and deployment best practices.
• Contribute to and enforce data governance standards by leveraging tools such as Collibra, ensuring metadata quality, lineage, ownership, and consistent definitions.
• Partner with Data Quality stakeholders to implement and monitor quality controls using Attaccama, including rules, profiling, exception handling, and remediation workflows.
• Support data lifecycle processes and operationalization of data products using Innovator (as applicable in the ecosystem) to align delivery with platform and product standards.
• Proactively identify opportunities to simplify architecture, automate repetitive work, and reduce operational effort (observability, alerting, self‑healing patterns).
• Ensure all solutions follow security, privacy, and compliance expectations (e.g., regulated environment practices, audit readiness, access controls, data handling).
• Collaborate closely with Product Owners, Data Scientists, Analysts, Architects, and business stakeholders to translate needs into reliable, reusable data assets.
• Act as a role model for engineering excellence: version control, CI/CD, code reviews, documentation, and operational runbooks.

SKILLS 🤹:

• • Degree in Computer Science, Engineering, Data/Information Systems, or a related field, with several years of relevant experience in data engineering, analytics engineering, or similar roles.
• Hands‑on experience building integrations and pipelines using tools such as SnapLogic (or comparable iPaaS) and cloud services — specifically AWS S3, Lambda, and Glue.
• Strong experience with Snowflake including data modeling, performance tuning, and secure data access patterns.
• Proven experience with dbt (models, tests, macros, documentation, environments, CI/CD integration).
• Familiarity with data governance and metadata management, ideally with Collibra; understanding of lineage, stewardship, and data catalog practices.
• Experience implementing data quality controls and monitoring, ideally with Attaccama (or equivalent tooling and approaches).
• Solid knowledge of software engineering fundamentals: Python/SQL, Git, coding standards, automated testing, and production support practices.
• Demonstrated ability to work independently, manage priorities, and proactively drive work forward in a dynamic environment.
• Strong stakeholder management, analytical thinking, and structured problem‑solving skills.
• Excellent communication skills in English (Spanish is a strong plus), enabling clear interaction with technical and non‑technical stakeholders.

NICE TO HAVE:

• 3-5 years in a similar role

SCHEDULE 🕘: