Data Engineer

Engg; Warszawa; Hybrid; PLN 169,000 - 253,000; Full time

Job summary

Workday in Poland is seeking a Data Engineer within the Value Architecture and Models (VAM) team to support enterprise tools, AI agents, and dashboards used by thousands of Workmates and partners in go‑to‑market functions—covering automated asset creation, attribution and impact measuring, benchmarking, and reporting.

You will design data architectures, build scalable data pipelines, and deploy production‑ready apps on GCP, Snowflake, and AWS, collaborating with global stakeholders to translate

Qualifications

• Minimum of 4 years of professional data engineering or software development experience.
• Minimum of 3 years scripting, building data pipelines, or developing application backends using Python.
• Minimum of 2 years building, deploying, or managing cloud infrastructure on Google Cloud Platform (GCP).
• Minimum of 2 years modeling, querying, and managing data within Snowflake.
• Professional fluency in English (written and verbal).

Responsibilities

• Design and build technology architectures to capture, manage, store, and utilize structured and unstructured data from internal and external sources.
• Develop infrastructure to automate connections between enterprise systems and tools.
• Take cloud-code prototypes built by team members and develop them into production-ready web applications deployed on GCP.
• Apply ETL techniques to connect, prepare, and manipulate large datasets from a variety of sources.
• Route data appropriately using distributed structures, database technologies, and applicable storage forms as required.
• Build and maintain relationships and work closely with technical teams to ensure proper support and access for the Digital Support Center.
• Work closely with stakeholders across the globe (including senior leadership) to ensure business challenges are directly addressed through technology solutions.
• Support reporting, education, and ongoing development of the team to ensure effectiveness in a dynamic market.

Skills

Data engineering

Python

English proficiency

Cloud infra

Stakeholder collaboration

Tools

Google Cloud Platform (GCP)

Snowflake

AWS

Sigma

AI tooling / LLMs

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

Within the Customer Success Center of Excellence, our Value Architecture and Models team provides the Value, CSM, Sales, Partners, and other GTM teams with value selling digital experiences, technologies, and expertise to drive revenue growth and decrease the cost of sale. We do this by developing, deploying and operating intuitive self‑service tools, digital experiences, workflow solutions, and value content repositories that scale. We are implementing AI‑powered solutions to enhance productivity and provide real‑time support to Workday's go‑to‑market teams. What makes our team unique is the opportunity to sit at the intersection of business strategy and emerging technologies. We are a team that values curiosity and creativity, and we are energized by exploring how AI and automation can transform the way Workday delivers value to customers and internal teams alike.

About the Role

As our Data Engineer within the VAM team, you will support, oversee, maintain, and develop a portfolio of enterprise tools (bought and built), AI agents, and dashboards used by thousands of our Workmates and partners in go‑to‑market functions—covering areas of automated customer‑facing asset creation, attribution and impact measuring, benchmarking, reporting, and more.

Primary Responsibilities

• Design and build technology architectures to capture, manage, store, and utilize structured and unstructured data from internal and external sources.
• Develop infrastructure to automate connections between enterprise systems and tools.
• Take cloud‑code prototypes built by team members and develop them into production‑ready web applications deployed on GCP.
• Apply ETL techniques to connect, prepare, and manipulate large datasets from a variety of sources.
• Route data appropriately using distributed structures, database technologies, and applicable storage forms as required.
• Build and maintain relationships and work closely with technical teams to ensure proper support and access for the Digital Support Center.
• Work closely with stakeholders across the globe (including senior leadership) to ensure business challenges are directly addressed through technology solutions.
• Support reporting, education, and ongoing development of the team to ensure effectiveness in a dynamic market.

About You

Basic Qualifications

• Minimum of 4 years of professional data engineering or software development experience.
• Minimum of 3 years of hands‑on experience scripting, building data pipelines, or developing application backends using Python.
• Minimum of 2 years of experience building, deploying, or managing cloud infrastructure and applications on Google Cloud Platform (GCP).
• Minimum of 2 years of hands‑on experience modeling, querying, and managing data within Snowflake.
• Professional fluency in English (written and verbal).

Other Qualifications:

• Experience building, deploying, or integrating AI/ML tools, LLM APIs, or AI coding assistants into production workflows.
• Hands‑on experience building reports and interactive dashboards using Sigma connected to Snowflake.
• Hands‑on experience developing or managing services on Amazon Web Services (AWS).
• Experience working within a multinational company or supporting global cross‑functional stakeholders.

Applicants will be requested to provide work samples and demonstrate the ability to perform key aspects of this role as part of the interview process.

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,

• Base Pay Range: zł168,700 PLN - zł253,100 PLN Poland

Primary Location Base Pay Range

Base Pay Range: zł168,700 PLN - zł253,100 PLN Poland

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.