At a Glance.



AWS extension, Data Platform design, Data Platform build, Orchestration, Data Encryption, Data Migration, Data Visualisation, Authentication.


Human capital management.


GitHub, AWS (Database Migration Service, S3, DynamoDB, Glue, Lambda, StepFunctions, Athena, Redshift Spectrum, EventBridge, Simple Notification Service (SNS), Managed Workflows for Apache Airflow), dbt, Oracle Cloud Infrastructure (OCI), Scala, Python, Apache Spark.


Workhuman, an Irish tech unicorn, offers cloud-based human capital management (HCM) solutions. Specialising in social recognition, their software encourages employee acknowledgment and reward. The company aims to empower businesses by leveraging their most valuable asset – their people. Partnering with companies, Workhuman believes in cultivating cultures that extend beyond financial gains. They emphasise the need for evolving work to enhance employee performance. Grounded in their cultural values, they strive for excellence and understand the importance of revitalising company cultures, evident in their numerous awards.

The Challenge.

Workhuman's data sources were disparate and include a large Oracle database (on Oracle Cloud), Dynamics CRM, Customer 360, Finance and Accounting packages; all back end and customer-facing systems. These systems were unconnected, although Workhuman already had a Data Lake and legacy data analytics environment. 

The goal of this initiative was to connect these data sources and leverage them to develop new and differentiated data processing and analytics-based capabilities for the benefit of Workhuman’s customers and employees.


Enable the company to efficiently use and benefit from their data sources, producing reports in useful time that enable them to understand how the public interacts with their business.

Spark Impact.

  • Spark's data strategy implementation sped up WorkHuman's operations and fostered a data-driven culture.

  • Our new strategy, architecture and solution provided a comprehensive data view, leading to better decision-making and resource allocation.

  • Workhuman’s complex data pipeline was simplified, enabling easy incorporation of more data sources.

  • WorkHuman was empowered to more quickly access valuable views on how their customers use their services, enabling them to better understand and adapt to their market in real-time.

What They Say.

...Spark’s data and architecture consulting practice, combined with their delivery and engineering capabilities were integral to Workhuman during a critical phase of our enterprise-level data strategy. With Spark’s expertise and support, we made significant strides in achieving our goals. Their team demonstrated a deep understanding of our unique requirements and provided a tailored approach and solution that aligned perfectly with our business…

Aidan McGowran, VP Product.