Technical Data Engineer : GTM Services Marketing

We help the world run better
At SAP, we keep it simple: you bring your best to us, and well bring out the best in you. Were builders touching over 20 industries and 80 of global commerce, and we need your unique talents to help shape whats next. The work is challenging : but it matters. Youll find a place where you can be yourself, prioritize your wellbeing, and truly belong. Whats in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
WHAT YOU 'LL BUILD:
For our Go:To:Market Services for Marketing team as part of the Customer and Partner unit within the global Corporate Processes and Information Technology (CPIT) Organization we are looking for a Technical Data Engineer with the mindset for highest level of service for our internal customers and support to take SAP 's Marketing Technology Stack to the next level as part of our transformation journey to achieve SAP 's goals.
In your role as Technical Data Engineer, you will be responsible for:
:Design, build, and maintain scalable batch and streaming data pipelines and ELT workflows that power analytics, ML, and operational use cases.
:Own the data platform end:to:end across ingestion, transformation, modeling, orchestration, quality, observability, and cost/performance optimization in the cloud (AWS/GCP/Azure).
:Implement robust data models (warehouse and lakehouse), versioned transformations (e.g., dbt/Spark), and enforce governance, security, and compliance standards.
:Partner with product, analytics, ML, and engineering teams to translate requirements into reliable data contracts, SLAs, and self:serve datasets.
:Troubleshoot and resolve production issues, automate testing and deployments (CI/CD, Infrastructure as Code (IaC)), and document systems to enable team:wide operational excellence.
WHAT YOU BRING:
:7 : 10 years building and operating data pipelines at scale with Python and SQL, including Spark or similar distributed frameworks.
:Expertise with modern ELT tooling and orchestration (dbt, Airflow/Dagster/Prefect) and version:controlled, testable transformations.
:Strong data modeling in warehouses and lakehouses (Kimball, Data Vault, medallion), schema evolution, and performance tuning.
:Cloud data platforms (AWS/GCP/Azure): storage (S3/GCS/ADLS), computing (EMR/Dataproc/Databricks/BigQuery/Snowflake), and networking fundamentals.
:Streaming and event:driven architectures (Kafka/Kinesis/Pub/Sub), exactly:once semantics, backfills, and idempotency.
:Data quality, observability, and reliability practices (Great Expectations/Soda/Monte Carlo), SLAs, alerting, and incident response.
:CI/CD and infrastructure:as:code (GitHub Actions/GitLab CI, Terraform/CloudFormation), containerization (Docker, Kubernetes).
:Security and governance: IAM, secrets management, encryption, PII handling, GDPR/CCPA awareness, and access patterns (RBAC/ABAC).
:Experience enabling downstream consumers (BI/ML) via data contracts, documentation, and self:serve datasets/semantic layers (Looker/MetricLayer).
WHERE YOU BELONG:
Our team is responsible for the design, implementation and operations of IT solutions, supporting SAP 's core business processes mainly in Marketing and closely interacting with respective LoBs. Here, we act as the Businesses trusted advisor and expert, driving together the simplification, harmonization, and intelligence of business processes. We enable solutions for the Demand:to:Lead process area with the adoption of state:of:the:art solutions embracing innovation as well as new technologies to achieve higher effectiveness.
Besides our day:to:day business we are passionate about technology and always looking for new options to improve the way we work and deliver value to business.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Origina
Job Type: Permanent