Job Description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.

Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.

Our brand promise - Makes Work Life Better™- Reflects our commitment to employees, customers, partners and communities globally.

About the opportunity

The Enterprise Data Team is looking for a Data Engineer to design, build, and support modern enterprise data solutions that enable analytics, business intelligence, and emerging AI capabilities across the organization.

In this role, you will integrate, transform, model, and engineer data from a variety of sources using Microsoft’s modern cloud data platform, including Microsoft Fabric and Azure. You will help create trusted, governed, reusable data products that make enterprise data easier to discover, analyze, and use across reporting, self-service analytics, and AI-enabled solutions.

You will work closely with data engineers, architects, analysts, business partners, and other technology teams to deliver scalable and reliable data solutions while continuing to grow your expertise in cloud data engineering and emerging AI technologies.

What you’ll get to do

• Design, build, test, and support data pipelines that ingest and transform structured and semi-structured data from multiple enterprise systems.
• Develop modern data solutions using Microsoft Fabric and Azure technologies, including Fabric Lakehouse, OneLake, Data Factory/Pipelines, notebooks, Spark, and SQL-based workloads.
• Transform data through raw, cleansed, curated, and consumption-ready layers using modern lakehouse and medallion architecture patterns.
• Build and maintain reusable data models and trusted data products that support analytics, Power BI, self-service, and emerging AI use cases.
• Develop solutions using SQL, Python, PySpark, Spark SQL, and related data engineering technologies.
• Monitor, troubleshoot, optimize, and improve the reliability and performance of data pipelines, transformations, and data products.
• Implement data quality, security, privacy, governance, and access-control practices that improve trust in enterprise data.
• Explore and prototype new capabilities across Microsoft Fabric, Azure, analytics, and AI technologies through proofs of concept.
• Participate in source control, automated deployment, CI/CD, code reviews, testing, and other modern engineering practices.
• Collaborate with data architects, analysts, governance teams, application teams, and business stakeholders to deliver enterprise data solutions.

What’s in it for you

Encouragement to be the best version of yourself at and away from work:

• YOUnity diversity and inclusion programs
• Amazing time away from work programs
• Support for your total well-being through our Live Well, Work Well programs targeting all aspects of your life
• Recognition for your contributions through excellent pay, perks, and rewards
• Giving where you’re living: volunteer days, Ceridian sponsored events, and our very own charity, Ceridian Cares
• Opportunities to fuel your career growth through numerous internal and external programs and events

Skills and experience we value

• A Bachelor’s Degree in Computer Science, Engineering, Applied Math or Business or equivalent degree and experience
• 2–5 years of professional experience in data engineering, data development, analytics engineering, or a related field
• Strong SQL skills, including experience with data transformation, query optimization, and relational data concepts.
• Experience with Python, PySpark, Spark SQL, or similar data engineering languages and frameworks.
• Experience building ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks or comparable technologies.
• Experience with data modeling, dimensional modeling, data warehousing, lakehouse architectures, or business intelligence solutions.
• Familiarity with cloud data storage, data lakes, and modern file/table formats such as Parquet and Delta.
• Experience with source control and CI/CD practices using Git, Azure DevOps, GitHub, or similar technologies.
• Experience with Power BI or another modern business intelligence and visualization platform.
• Understanding of data security, data quality, governance, and responsible handling of enterprise data.
• Strong problem-solving skills and the ability to troubleshoot technical issues, research alternatives, and recommend solutions.
• Demonstrated ability and enthusiasm for learning new cloud, data, and AI technologies.

What would make you really stand out

• Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, Fabric Data Factory/Pipelines, notebooks, Spark, Warehouse, or semantic models.
• Experience implementing medallion/lakehouse architectures using Delta Lake or similar technologies.
• Experience with Microsoft Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, or Azure Databricks.
• Exposure to Generative AI or AI-enabled data solutions using technologies such as Azure AI Foundry, Azure OpenAI, Microsoft Copilot, or comparable platforms.
• Understanding of AI data patterns such as embeddings, vector search, retrieval-augmented generation (RAG), or preparing enterprise data for LLM-based applications.
• Experience using AI-assisted development tools to improve engineering productivity while following appropriate security, governance, and code-quality practices.
• Experience developing reusable data products or APIs/services that make governed enterprise data available to analytics and AI applications.
• Relevant Microsoft Azure, Fabric, Power BI, or data engineering certifications.

What’s in it for you

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

We encourage individuals to apply based on their passions.

Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.

With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.

Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.

Fraudulent Recruiting

Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud

Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process