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Senior Data Engineer
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
We are seeking an experienced Senior Data Engineer to own the ingestion of new data sources into the Xtremepush platform supporting our clients’ marketing and personalisation use cases. Working across a number of clients, you will design and build custom jobs, working directly with their technical and data teams to secure access, resolve data quality issues and land data in the right shape and at the right latency. This role requires the successful candidate to have strong data engineering, integration and key stakeholder management experience. 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 Senior Data Engineer to own the ingestion of new data sources into the Xtremepush platform supporting our clients’ marketing and personalisation use cases.
Design, build and maintain ETL/ELT and ingestion pipelines that bring new client data sources into the Xtremepush platform.
Define integration patterns and standards for batch, file-based, API and event-driven ingestion.
Ensure data lands in the structure and at the latency the Data Analyst and Data Modeller require.
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 Senior Data Engineer to own the ingestion of new data sources into the Xtremepush platform supporting our clients’ marketing and personalisation use cases. Working across a number of clients, you will design and build custom jobs, working directly with their technical and data teams to secure access, resolve data quality issues and land data in the right shape and at the right latency. This role requires the successful candidate to have strong data engineering, integration and key stakeholder management experience.
Key Responsibilities Design, build and maintain ETL/ELT and ingestion pipelines that bring new client data sources into the Xtremepush platform. Define integration patterns and standards for batch, file-based, API and event-driven ingestion.
Design, build and maintain ETL/ELT and ingestion pipelines that bring new client data sources into the Xtremepush platform. Define integration patterns and standards for batch, file-based, API and event-driven ingestion. Ensure data lands in the structure and at the latency the Data Analyst and Data Modeller require.
Define integration patterns and standards for batch, file-based, API and event-driven ingestion. Ensure data lands in the structure and at the latency the Data Analyst and Data Modeller require. Work with client technical and data teams on secure source access, data contracts and data quality.
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
- Datadog
- Kafka
- Kubernetes
- MySQL
- Snowflake
- Airflow
- Dagster
Where the posting names them
- Strong ETL/ELT and pipeline design skills across batch and streaming, including idempotent loads, backfills and failure recovery. - Strong Python and SQL, including production-quality tested code, REST API integrations and query performance tuning. - Experience with relational and columnar databases, such as MySQL and ClickHouse.
- Experience orchestrating pipelines with a tool such as Dagster or Airflow. - Hands-on AWS experience, including storage, access management and secrets management. - Experience with Snowflake or another cloud data warehouse is desirable.
- Strong Python and SQL, including production-quality tested code, REST API integrations and query performance tuning. - Experience with relational and columnar databases, such as MySQL and ClickHouse. - Experience with event streaming, such as Kafka, and file-based integrations, such as SFTP.
- Experience with Kubernetes, Linux and CI/CD tooling, such as Bitbucket Pipelines, is desirable. - Experience setting up monitoring and alerting in Datadog or a similar tool is desirable. - Experience with a CDP, CRM or marketing automation platform is desirable.
- Experience with relational and columnar databases, such as MySQL and ClickHouse. - Experience with event streaming, such as Kafka, and file-based integrations, such as SFTP. - Experience orchestrating pipelines with a tool such as Dagster or Airflow.
- Experience with Snowflake or another cloud data warehouse is desirable. - Experience with Kubernetes, Linux and CI/CD tooling, such as Bitbucket Pipelines, is desirable. - Experience setting up monitoring and alerting in Datadog or a similar tool is desirable.
- Hands-on AWS experience, including storage, access management and secrets management. - Experience with Snowflake or another cloud data warehouse is desirable. - Experience with Kubernetes, Linux and CI/CD tooling, such as Bitbucket Pipelines, is desirable.
- Experience with event streaming, such as Kafka, and file-based integrations, such as SFTP. - Experience orchestrating pipelines with a tool such as Dagster or Airflow. - Hands-on AWS experience, including storage, access management and secrets management.
Your next step
Complete your application on xtremepush.jobs.personio.com. The employer’s form will show what is required.
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% 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 Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
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 data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
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 Senior Data Engineer to own the ingestion of new data sources into the Xtremepush platform supporting our clients’ marketing and personalisation use cases. Working across a number of clients, you will design and build custom jobs, working directly with their technical and data teams to secure access, resolve data quality issues and land data in the right shape and at the right latency. This role requires the successful candidate to have strong data engineering, integration and key stakeholder management experience.
This is a hybrid role based in Dublin. #LI-Hybrid
Key Responsibilities
Design, build and maintain ETL/ELT and ingestion pipelines that bring new client data sources into the Xtremepush platform.
Define integration patterns and standards for batch, file-based, API and event-driven ingestion.
Ensure data lands in the structure and at the latency the Data Analyst and Data Modeller require.
Work with client technical and data teams on secure source access, data contracts and data quality.
Orchestrate, monitor and troubleshoot pipelines, leading triage and root cause analysis when failures occur.
Document integrations, data flows and dependencies, and advise on integration scope and effort during use case planning.
Provide mentorship and support to associate team members
Your Experience and Qualifications
5+ years’ experience in data engineering or data integration, ideally including a senior or lead role.
A degree in computer science, software engineering, data engineering or a related field, or equivalent experience.
Experience working directly with client technical teams and stakeholders, ideally in financial services, gaming or another regulated sector with consent and data protection requirements.
Strong ETL/ELT and pipeline design skills across batch and streaming, including idempotent loads, backfills and failure recovery.
Strong Python and SQL, including production-quality tested code, REST API integrations and query performance tuning.
Experience with relational and columnar databases, such as MySQL and ClickHouse.
Experience with event streaming, such as Kafka, and file-based integrations, such as SFTP.
Experience orchestrating pipelines with a tool such as Dagster or Airflow.
Hands-on AWS experience, including storage, access management and secrets management.
Experience with Snowflake or another cloud data warehouse is desirable.
Experience with Kubernetes, Linux and CI/CD tooling, such as Bitbucket Pipelines, is desirable.
Experience setting up monitoring and alerting in Datadog or a similar tool is desirable.
Experience with a CDP, CRM or marketing automation platform 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 Senior Data Engineer to own the ingestion of new data sources into the Xtremepush platform supporting our clients’ marketing and personalisation use cases. Working across a number of clients, you will design and build custom jobs, working directly with their technical and data teams to secure access, resolve data quality issues and land data in the right shape and at the right latency. This role requires the successful candidate to have strong data engineering, integration and key stakeholder management experience. 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.