(Senior) Software Engineer (all genders, full-/part-time)
About this opportunity
Your Role
Data and AI are reshaping the way global organizations operate, and this role sits at the heart of that transformation. As a Software Engineer within our Enabling Functions Data Office, you will design and deliver high-impact data and AI solutions that power smarter ways of working across the organization. You will be part of a collaborative, internationally distributed team of engineers and architects, working within a Product-Oriented Delivery model to bring Analytics, AI, and data products to life at scale.
In this role, you will:
Design, build, and maintain scalable applications, data pipelines, and platform components that translate complex business requirements from enabling functions such as HR, procurement, and legal into future-ready technical solutions.
Develop robust applications and interfaces that replace manual processes with seamless, intuitive user experiences.
Take ownership of data platforms, ensuring cost efficiency, governance, security, and compliance across the full data lifecycle.
Partner closely with stakeholders across your delivery pod to understand business needs and shape the technical direction of solutions.
Shape the future of data engineering within Enabling Functions, leveraging platforms such as Snowflake, AWS, and Palantir Foundry.
Contribute to a growing Spain-based hub within a global team, with the opportunity to work on diverse and high-visibility AI use cases spanning automation, carbon footprint analytics, procurement intelligence, and more.
Who You Are
You bring several years of proven expertise and experience in software engineering, including application design, development, and delivery within enterprise environments, with a strong foundation in writing clean, maintainable, and secure code.
You are proficient in development platforms and languages such as Python and Spark, and you apply modern engineering practices including version control, CI/CD pipelines, and automated testing as a matter of course.
You have hands-on experience with data platform technologies such as Palantir Foundry, Snowflake, and PySpark, and you are confident designing and delivering end-to-end data pipelines.
You have a solid understanding of data pipeline architecture, data governance, data lineage, privacy and security controls, and compliance standards in enterprise-scale environments.
You communicate complex technical concepts clearly and confidently to non-technical stakeholders, and you are comfortable translating business requirements into actionable technical solutions.
Familiarity with AI workflows, MLOps, AI safety and guardrails, or CI/CD for AI components is a plus
You hold a university degree or equivalent qualification in a relevant technical or engineering discipline.
You are comfortable working in a distributed, international team environment and are open to occasional travel within Europe.
Strong communication skills in English ; proficiency in German is a plus.
Level: Expert 3
Department: EF-DS-DEE Data Engineering Enabling Functions
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 393 comparable Senior Information Technology roles across 49 biopharma companies.
Salary context
61 of 393 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 393 comparable roles
+ 21 more countries
Seniority mix
393 of 393 peers have a known seniority level
Therapeutic area mix
1 of 393 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.