About the Role

Xtremepush is a global leader in customer engagement, providing a cutting-edge platform that empowers brands to understand, engage, and influence their customers across multiple channels. Specialising in the Sports Betting & Gaming (SBG) industry, Xtremepush enables businesses to drive growth and enhance customer experiences through data-driven insights, personalisation, and omni-channel marketing. We also partner with organisations in financial services and other regulated sectors. Our innovative Customer Data Platform and engagement tools help organisations create highly targeted campaigns, optimise conversions, and maximise revenue. Xtremepush is the only platform that combines real-time CDP, Omnichannel Activation, AI Optimisation, Gamification Engine, and Advanced Intelligence in a single platform.

We are seeking an experienced Data Modeller to design, build and maintain the data models, computed attributes and reporting that support our clients’ use cases on the Xtremepush platform. Working across a number of clients, you will structure and prepare the underlying data and create the dashboards and insights that enable client teams to run and monitor their marketing activity. This role requires the successful candidate to be proficient in Python and SQL, with strong analytical and problem-solving skills and the ability to explain technical insights clearly to non-technical stakeholders.

This is a hybrid role based in Dublin. #LI-Hybrid

Key Responsibilities

• Design, build and maintain relational and dimensional data models, schemas and complex queries.

• Create and manage computed attributes, ensuring they are accurate and available at the latency each use case requires.

• Build dashboards and automate recurring reporting so marketing teams can run and monitor their activity with minimal manual effort.

• Implement the data structure defined by the Data Analyst, raising issues and suggesting improvements rather than redesigning it independently.

• Work with the Data Integration Lead to ensure new data sources land in a shape that fits the model.

• Maintain data governance, lineage and documentation for all models.

Your Experience and Qualifications

• 5+ years’ experience in data modelling, analytics engineering or a related data role, ideally in financial services or another regulated sector.

• A degree in Computer Science, Information Systems, Mathematics or a related field, or equivalent experience.

• Advanced Python and SQL skills, with performance-aware query and schema design.

• Strong knowledge of dimensional and relational modelling, with experience of databases such as SQL Server, Oracle or MySQL.

• Experience with ClickHouse, Metabase or an equivalent BI or analytics stack.

• Hands-on experience with AWS and Snowflake.

• Understanding of data governance, lineage and data quality practices.

Location

This is a hybrid role based in Dublin.