Head of Data Warehousing – Sports Trading
Dublin City Centre
Market Leading Salary & Benefits
Join a high-growth sports trading technology team within a multinational trading firm. This is a rare opportunity to build a next-generation data ecosystem from the ground up, powering analytics and decision-making within a fast-paced sports and financial trading environment.
The Role
You'll lead the design, build, and optimization of the enterprise data platform — managing everything from raw data ingestion to analytics-ready transformation. The focus is on building scalable pipelines, data governance frameworks, and architectures that support real-time trading and analytics at scale.
Key Responsibilities
* Define and deliver the end-to-end data architecture, storage, and pipeline strategies.
* Design robust data lakes and warehouses using modern tools (e.g., Databricks, Spark, Snowflake, Delta Lake).
* Build, optimize, and maintain both batch and streaming data pipelines for high-volume trading and event data.
* Establish governance, metadata, and quality standards for enterprise data.
* Collaborate with data scientists, analysts, and trading engineers to ensure data accessibility and performance.
Required Experience
* Strong programming ability in Python and SQL (Scala/Java a plus).
* Proficiency with data engineering tools (Spark, Kafka, Airflow, Hadoop).
* Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
* Deep understanding of data modeling, warehousing, and compliance in regulated industries.
* Experience designing for large-scale, real-time environments in financial, trading, or sports analytics domains.
* Excellent communication and leadership skills with ability to drive cross-functional alignment.
This is a senior, high-impact role ideal for someone who thrives in greenfield environments and wants to shape an enterprise-grade data platform from inception.