Posted: 7h ago
The role
About the RoleWe are seeking a Senior Data Engineer to serve as the Subject Matter Expert (SME) for Data Logistics. In this role, you will be the driving force behind how data moves, transforms, integrates, and is discovered across our ecosystem. While the platform team builds the underlying infrastructure, your mission is to design the high-performance pipelines, complex ETL/ELT workflows, and data enrichment layers that turn raw streams into trusted, business‑ready data assets. You will own the usability and integrity of our data assets, leading the charge on data documentation, cataloging, Master Data Management (MDM), and the design of downstream data marts to ensure data is clean, standardized, governed, and highly discoverable for the entire enterprise.Key ResponsibilitiesDesign, implement, and optimize highly scalable, resilient data ingestion and transformation pipelines from disparate internal and external sources.Lead the strategy for Master Data Management (MDM) within our pipelines, architecting sophisticated data stitching, deduplication, and enrichment processes to establish a single source of truth for core business entities.Implement comprehensive data quality and observability frameworks (e.g., data profiling, anomaly detection, SLA tracking) to ensure absolute trust in pipeline outputs.Architect and build optimized, user‑focused Data Marts and semantic layers, translating complex source data into clean, dimensional models (Kimball/Inmon, Star Schema) tailored for business intelligence and analytics.Build, maintain, and automate enterprise Data Dictionaries, Data Catalogs, and Data Logs to ensure data lineage and definitions are transparent across the organization.Embed data governance policies directly into the logistics lifecycle (e.g., automated PII masking, data retention, access tiering at the pipeline level), partnering with compliance and platform teams.Act as the technical anchor for the data engineering squad, setting engineering standards for code quality, workflow documentation, and pipeline design.Education, Experience & Qualifications5+ years of hands‑on data engineering experience, focusing on complex pipeline development, data modeling, and governance metadata patterns.Advanced hands‑on experience with AWS Glue (ETL, catalogs, schema registry, workflows) and AWS EMR (Spark engine tuning).Deep proficiency with Apache Spark (PySpark or Scala) for large‑scale data processing and transformation.Expert knowledge of data warehousing concepts, including Star/Snowflake schemas, dimensional modeling, and building curated Data Marts.Expert‑level proficiency in Python and SQL, including advanced analytical functions and performance tuning.Hands‑on experience with modern data catalog and governance tools (e.g., OpenLineage, dbt docs, Collibra, Alation, Apache Atlas, or AWS Glue Data Catalog).Strong experience with orchestration tools such as Apache Airflow, Prefect, or AWS Step Functions to manage complex, multi‑stage DAGs.Experience designing and optimizing scalable data lake‑house or warehousing patterns (e.g., Medallion Architecture, Data Mesh, Apache Iceberg, Delta Lake).Experience implementing robust CI/CD pipelines (e.g., GitHub Actions, Jenkins) for data assets, including automated unit/integration testing and infrastructure‑as‑code using Terraform or CDK.Workday Pay Transparency Statement (EU)Base Pay Range: €84,000 EUR – €126,000 EUR (Ireland). Salary is based on relevant experience, skills, education, level of responsibility, role demands, location, and business need. The role may be eligible for the Workday Bonus Plan or a role‑specific commission/bonus, and annual stock grants.Equal Opportunity & InclusionWorkday is an equal‑opportunity employer including individuals with disabilities and protected veterans. Pursuant to applicable Fair Chance law, Workday will consider qualified applicants with arrest and conviction records. Workday is committed to providing a reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during the application process. If you require assistance or an accommodation due to a disability or for religious reasons, contact accommodations@workday.com.Workday will not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.
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