Head of Data Warehousing – Sports TradingDublin City CentreMarket Leading Salary & BenefitsJoin 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 RoleYou'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 ResponsibilitiesDefine 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 ExperienceStrong 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.