Senior Data Engineer (all genders) Full-Time/Part-Time
About this opportunity
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
Senior Data Engineer (all genders)
Your role:
In your role as Senior Data Engineer (all genders), you will design, build, and operate secure, scalable data solutions for Finance using Snowflake and modern cloud-native technologies. You will translate complex financial and business requirements into robust data products and reusable services, focusing on data modeling, ingestion, transformation, and serving layers. You will collaborate with Finance stakeholders, data owners, architects, and engineers to deliver data pipelines that support financial planning, forecasting, reporting, and self-service analytics while ensuring data quality, security, governance, and observability. You will contribute to reference architectures, engineering standards, automated testing, deployment processes, and operational excellence, while helping democratize access to trusted Finance data for authorized users. Your work will advance Project Lumina and related strategic initiatives, shaping the enterprise data and AI ecosystem.
Who you are:
University degree in Computer Science, Information Technology, Engineering, or equivalent experience.
Several years of professional experience in data engineering, analytics engineering, or related fields.
Strong hands-on Snowflake experience: data modeling, SQL, performance tuning, security, and production workloads.
Proven ability to design and implement cloud-based ETL/ELT data pipelines and data architectures.
Proficient in Python and SQL; PySpark or distributed processing experience is a plus.
Solid knowledge of data governance, quality, security, and lifecycle management; observability practices.
Experience with APIs, streaming architectures (e.g., Kafka) or event-driven patterns is advantageous.
Fluent English; German is a plus; ability to collaborate with both technical and non-technical stakeholders.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 234 comparable Senior Data & Digital roles across 44 biopharma companies.
Salary context
82 of 234 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 234 comparable roles
+ 20 more countries
Seniority mix
234 of 234 peers have a known seniority level
Therapeutic area mix
7 of 234 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.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
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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.