Senior Data Engineer, Cybersecurity

Workday, Inc.; Dublin; Hybrid; EUR 84,000 - 126,000; Full time

Job summary

Workday, Inc. is hiring a Senior Data Engineer to own data logistics and design high‑performance pipelines and data enrichment layers. You will lead data documentation, cataloging, and MDM, ensuring clean, governed, and discoverable data assets for the enterprise.

You will work across a data platform at scale, partnering with security, analytics, and governance teams to implement observability, downstream data marts, and semantic layers that empower enterprise BI and ML initiatives.

Qualifications

• 5+ years of hands-on data engineering with emphasis on complex pipelines and governance.
• Advanced experience with AWS Glue (ETL, catalogs, schema registry, workflows) and EMR.
• Deep Spark proficiency for large-scale data processing.
• Solid data warehousing knowledge and data mart design.
• Expert Python and SQL with performance tuning.
• Experience with data catalog and governance tools (OpenLineage, dbt docs, Collibra, Alation, Atlas, Glue Data Catalog).
• Orchestration expertise with Airflow, Prefect, or Step Functions.
• Knowledge of lakehouse/warehouse patterns (Medallion, Data Mesh, Iceberg/Delta).
• CI/CD for data assets using GitHub Actions, Jenkins; IaC with Terraform or CDK.

Responsibilities

• Design, build, and optimize scalable data ingestion and transformation pipelines.
• Lead MDM, data stitching, deduplication, and enrichment strategies.
• Implement data quality and observability with profiling and SLA tracking.
• Architect data marts and semantic layers for BI and analytics.
• Document data assets; manage data catalogs and data lineage.
• Enforce data governance including PII masking and retention policies.
• Provide technical mentorship and set coding standards for the team.

Skills

5+ years data engineering

AWS Glue

AWS EMR

Apache Spark (PySpark/Scala)

Data warehousing concepts

Python

SQL

OpenLineage

dbt docs

Collibra

Alation

Apache Atlas

Airflow

Prefect

AWS Step Functions

Medallion Architecture

Data Mesh

Terraform

CDK

GitHub Actions

Jenkins

Tools

Apache Airflow

Prefect

Terraform

GitHub Actions

Jenkins

Job description

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

We are a newly formed, forward-looking Cybersecurity Data Engineering & Platform Team driving the future of our enterprise defense strategy. Our mission is to build a next‑generation, centralized data lakehouse that unifies all security telemetry into a single, high‑performance ecosystem. Operating across two specialized verticals—Data Logistics (ingestion, enrichment, and semantic layers) and Data Platform (foundational infrastructure, security architecture, and AI enablement)—we are designing a scalable, cloud‑native foundation from the ground up. By combining cutting‑edge data architecture with advanced analytics, we empower our threat hunters, data scientists, and incident responders with the real‑time, trusted intelligence needed to protect the enterprise at scale.

About the Role

We 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. Crucially, you will own the usability and integrity of our data assets. You will lead the charge on data documentation, cataloging, Master Data Management (MDM), and the design of downstream data marts, ensuring that our data is not just flowing, but is clean, standardized, governed, and highly discoverable for the entire enterprise.

Key Responsibilities

• Pipeline & ETL/ELT Architecture: Design, implement, and optimize highly scalable, resilient data ingestion and transformation pipelines from disparate internal and external sources.
• Data Enrichment & MDM: Lead the strategy for Master Data Management (MDM) within our pipelines. Architect sophisticated data stitching, deduplication, and enrichment processes to establish a single source of truth for core business entities.
• Data Reliability & Observability: Implement comprehensive data quality and observability frameworks (e.g., data profiling, anomaly detection, SLA tracking) to ensure absolute trust in pipeline outputs.
• Data Mart & Semantic Layer Design: Architect and build optimized, user‑focused Data Marts and semantic layers. Translate complex source data into clean, dimensional models (Kimball/Inmon, Star Schema) tailored for business intelligence and analytics.
• Data Cataloging & Documentation: Serve as the primary champion for data discoverability. Build, maintain, and automate enterprise Data Dictionaries, Data Catalogs, and Data Logs to ensure data lineage and definitions are transparent across the org.
• Data Governance Enforcement: Partner with compliance and platform teams to embed data governance policies directly into the logistics lifecycle (e.g., automated PII masking, data retention, access tiering at the pipeline level).
• Technical Mentorship: Act as the technical anchor for the data engineering squad, setting engineering standards for code quality, workflow documentation, and pipeline design.

About You

Basic Qualifications Required Technical Skills & Experience

• Experience: 5+ years of hands‑on data engineering experience, with a heavy focus on complex pipeline development, data modeling, and governance metadata patterns.
• AWS Data Ecosystem: Advanced, hands‑on experience with AWS Glue (ETL, catalogs, schema registry, workflows) and AWS EMR (Spark engine tuning).
• Distributed Computing: Deep proficiency with Apache Spark (PySpark or Scala) for large‑scale data processing and transformation.
• Data Modeling & Architecture: Expert knowledge of data warehousing concepts, including Star/Snowflake schemas, dimensional modeling, and building curated Data Marts.
• Languages: Expert‑level Python and SQL (including advanced analytical functions and performance tuning).
• Other Qualifications: Governance & Cataloging Tools: Hands‑on experience working with modern data catalog and governance tools (e.g., OpenLineage, dbt docs, Collibra, Alation, Apache Atlas, or AWS Glue Data Catalog).
• Orchestration: Strong experience with Apache Airflow, Prefect, or AWS Step Functions to manage complex, multi‑stage DAGs.
• Data Lakehouse & Warehouse Architecture: Experience designing and optimizing scalable data lake‑house or warehousing patterns (e.g., Medallion Architecture, Data Mesh, or open table format strategies like Apache Iceberg/Delta Lake) to support high‑performance analytics.
• CI/CD & Engineering Best Practices: Experience implementing robust CI/CD pipelines (e.g., GitHub Actions, Jenkins) for data assets, including automated unit/integration testing, infrastructure‑as‑code (IaC) using Terraform or CDK, and GitOps workflows to ensure reproducible and high‑quality deployments.

Workday Pay Transparency Statement (For EU Locations Only)

Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills, and educational qualifications, level of responsibility, demands of the role, work location and business need. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role‑specific commission/bonus, as well as annual refresh stock grants awarded by Workday Inc. For more information regarding Workday’s comprehensive benefits, please click here. Primary Location Base Pay Range: €84,000 EUR - €126,000 EUR Ireland

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in‑person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in‑office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you’ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote “home office” roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision‑making to any degree. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodation, exercising a privacy right, or cooperating in an investigation according to applicable law.

If you require a reasonable accommodation, you may email [e-mail], as far in advance as possible.