Senior Data Product Engineer, Enabling Functions

At Genmab we are dedicated to building extranotordinary futures together by developing antibody products and groundbreaking knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create champion and maintain a global workplace where individuals unique contributions are valued and drive innovative solutions to meet the needs of our patients care partners families and employees.

Our people are compassionate candid and purposeful and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes our work is incredibly serious and impactful but we have big ambitions bring a ton of care to pursuing them and have a lot of fun while doing so.

Does this inspire you and feel like a fit Then we would love to have you join us!

Role

We are looking for a Senior Data Product Engineer with deep expertise in DBT Databricks Power BI/Tableau and AWS who can architect and implement scalable reliable and high-performance data products. This role will require strong technical skills across data modeling distributed data processing ELT pipeline development and dashboarding with an emphasis on automation observability and engineering best practices.

You will be expected to design and deliver production-grade data pipelines and models optimize query and compute performance and expose data to end users through well-structured semantic layers and dashboards.

Responsibilities

Data Engineering & Architecture

• Architect and implement end-to-end ELT workflows with DBT (core and Cloud) ensuring modular testable and reusable transformations.

• Build high-performance data pipelines in Databricks (PySpark Delta Lake Unity Catalog) for batch and streaming workloads.

• Engineer scalable data ingestion pipelines into AWS (S3 Kinesis Glue Lambda Step Functions) with strong monitoring and fault tolerance. Ensure observability cost efficiency & scalability in all pipeline and compute designs.

Data Modeling & Governance

• Design normalized and star-schema models for analytical workloads following dbts best practices and software engineering principles.

• Implement data quality testing frameworks (dbt tests Great Expectations or custom validations) with automated CI/CD integration.

• Manage data versioning lineage and governance through tools such as Unity Catalog and AWS Lake Formation.

Analytics Enablement & Dashboards

• Develop semantic data layers that support self-service analytics across BI tools (Tableau Power BI etc.).

• Build interactive real-time dashboards with metric consistency and role-based access control.

• Partner with analysts and data scientists to optimize queries and deliver production-ready datasets.

Platform Engineering & Automation

• Automate deployment pipelines with CI/CD (GitHub Actions GitLab CI or AWS CodePipeline) for dbt and Databricks.

• Implement infrastructure-as-code (IaaC) for reproducibility (Terraform CloudFormation).

• Ensure system reliability through observability and monitoring (Datadog CloudWatch Prometheus or similar).

• Benchmark and optimize SQL Spark and BI query performance at scale.

Required

• Bachelors degree in Computer Science Information Systems Engineering or related field.
• 8 years in data engineering analytics engineering or data platform development.

• Expert-level proficiency in:

• DBT: advanced macros Jinja testing exposures dbt Cloud deployment.

• Databricks: Spark (PySpark SQL) Delta Lake Unity Catalog.

• AWS: S3 Glue Lambda Step Functions Datasync EMR Redshift IAM and networking/security fundamentals.

• Data Visualization: Power BI or Tableau.

• Strong programming background in Python and SQL (including query optimization).
• Proven experience with distributed systems and large-scale datasets (TBPB scale).

• Experience implementing CI/CD pipelines data testing and infrastructure as code.

• Solid understanding of data governance security and compliance in enterprise environments.

Preferred Skills

• Experience with real-time data pipelines (Kafka Kinesis Delta Live Tables).

• Familiarity with containerization and orchestration (Docker Kubernetes EKS).

• Exposureto machine learning workflows in Databricks.

Why This Role

You will work at the intersection of modern data engineering and analytics product development solving challenges of scale performance and usability. This role is ideal for someone who thrives in a hands-on engineering environment and wants to build the technical foundation for data-driven decision-making across the organization.

For US based candidates the proposed salary band for this position is as follows:

The actual salary offer will carefully consider a wide range of factors including your skills qualifications experience and location. Also certain positions are eligible for additional forms of compensation such as discretionary bonuses and long-term incentives.

When you join Genmab youre joining a culture that supports your physical financial social and emotional wellness. Within the first year regular full-time U.S. employees are eligible for:

• 401(k) Plan: 100% match on the first 6% of contributions

• Health Benefits: Two medical plan options (including HDHP with HSA) dental and vision insurance

• Voluntary Plans: Critical illness accident and hospital indemnity insurance

• Time Off: Paid vacation sick leave holidays and 12 weeks of discretionary paid parental leave

• Support Resources: Access to child and adult backup care family support programs financial wellness tools and emotional well-being support

• Additional Perks: Commuter benefits tuition reimbursement and a Lifestyle Spending Account for wellness and personal expenses

About You

• You are genuinely passionate about our purpose

• You bring precision and excellence to all that you do

• You believe in our rooted-in-science approach to problem-solving

• You are a generous collaborator who can work in teams with a broad spectrum of backgrounds

• You take pride in enabling the best work of others on the team

• You can grapple with the unknown and be innovative

• You have experience working in a fast-growing dynamic company (or a strong desire to)

• You work hard and are not afraid to have a little fun while you do so!

Locations

Genmab maximizes the efficiency of an agile working environment when possible for the betterment of employee work-life balance. Our offices are crafted as open community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether youre in one of our office spaces or working remotely we thrive on connecting with each other to innovate.

About Genmab

Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years its hard-working innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational quantitative and data sciences resulting in a proprietary pipeline including bispecific T-cell engagers antibody-drug conjugates next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030 Genmabs vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO) antibody medicines.

Established in 1999 Genmab is headquartered in Copenhagen Denmark with international presence across North America Europe and Asia Pacific. For more information please visit and follow us on LinkedIn and X.

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Please note that if you are applying for a position in the Netherlands Genmabs policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year if the employee performs well and if the business conditions do not change renewal for an indefinite term may be considered after the fixed-term employment contract.