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Data Modeller
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
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
Location This is a hybrid role based in Dublin.
Read the full posting- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent employee
From the employer’s posting
What you’ll work on
Full postingXtremepush 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.
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.
Design, build and maintain relational and dimensional data models and complex queries
Create and manage computed attributes at the latency each use case needs
Build dashboards and automate recurring reporting for marketing teams
Implement the data structure defined by the Data Analyst, raising issues and suggesting improvements
Maintain data governance, lineage and documentation for all models
From the employer’s posting
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. 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.
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.
Maintain data governance, lineage and documentation for all models.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Xtremepush is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- ClickHouse
- Metabase
- MySQL
- Oracle
- Snowflake
- SQL Server
Where the posting names them
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. 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
- A degree in computer science, information systems, mathematics or a related field, or equivalent experience. - Advanced SQL and Python skills, with performance-aware query and schema design. - Strong relational and dimensional modelling skills, with experience of relational databases such as MySQL, SQL Server or Oracle, and columnar databases such as ClickHouse.
- Advanced SQL and Python skills, with performance-aware query and schema design. - Strong relational and dimensional modelling skills, with experience of relational databases such as MySQL, SQL Server or Oracle, and columnar databases such as ClickHouse. - Experience building dashboards and reporting in a BI tool such as Metabase.
- Experience building dashboards and reporting in a BI tool such as Metabase. - Hands-on experience with AWS. - Understanding of data governance, lineage and data quality practices.
- Strong relational and dimensional modelling skills, with experience of relational databases such as MySQL, SQL Server or Oracle, and columnar databases such as ClickHouse. - Experience building dashboards and reporting in a BI tool such as Metabase. - Hands-on experience with AWS.
- Understanding of data governance, lineage and data quality practices. - Experience with Snowflake or another cloud data warehouse is desirable. Location
Your next step
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Demand for Analytics Engineer roles
New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About the Role
This is a hybrid role based in Dublin. #LI-Hybrid
Key Responsibilities
Your Experience and Qualifications
Location
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. 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.
Implement the data structure defined by the Data Analyst, raising issues and suggesting improvements.
Work with the Data Integration Lead to ensure new data sources land in a shape that fits the model.
Build dashboards and automate recurring reporting so marketing teams can run and monitor their activity with minimal manual effort.
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 SQL and Python skills, with performance-aware query and schema design.
Strong relational and dimensional modelling skills, with experience of relational databases such as MySQL, SQL Server or Oracle, and columnar databases such as ClickHouse.
Experience building dashboards and reporting in a BI tool such as Metabase.
Hands-on experience with AWS.
Understanding of data governance, lineage and data quality practices.
Experience with Snowflake or another cloud data warehouse is desirable.
Location
This is a hybrid role based in Dublin.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dublin
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
More source context
Location This is a hybrid role based in Dublin.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.