Senior Data Engineer: Real-Time Pipelines & Cloud ETL

Xtremepush Limited; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Xtremepush Limited is seeking a Senior Data Engineer to own data ingestion for client marketing and personalisation use cases. You will design, build and maintain ETL/ELT jobs, work with client data teams, and ensure data lands with required latency.

Hybrid role based in Dublin, with strong emphasis on data quality, scalability, and documentation. You will leverage Snowflake, Databricks, Kafka and Airflow/Dagster to deliver robust data pipelines, mentor junior engineers, and collaborate across

Qualifications

• 5+ years’ experience in data engineering or data integration, ideally in a lead or senior role.
• Degree in computer science, software engineering, data engineering or related field.
• Experience in financial services, gaming or another regulated sector, including consent and data protection requirements.
• Experience working directly with client technical teams and managing key stakeholders.
• Strong ETL/ELT and pipeline design across batch and streaming, including idempotent loads, backfills and failure recovery.
• Strong Python programming with production ETL, testing and maintainable code.
• Advanced SQL with query performance tuning.
• Experience with MySQL including schema design and data extraction.
• Experience with columnar databases (ClickHouse or similar).
• Hands-on experience with Snowflake and/or Databricks.
• Experience with Kafka (producers/consumers, offsets, partitions).
• Experience orchestrating pipelines with Dagster or Airflow.
• Hands-on AWS including S3, IAM, KMS, Secrets Manager and CloudWatch.
• Experience running and debugging jobs on Kubernetes (EKS).
• Experience designing monitoring and alerts in Datadog or similar.
• Strong incident handling, including root cause analysis and clear write-ups.

Responsibilities

• Design, build and maintain custom ETL/ELT and ingestion jobs that bring new client data sources into the Xtremepush platform.
• Define integration patterns for batch, API and event-driven ingestion.
• Ensure data lands in the structure and latency required by Data Analysts and Data Modellers.
• Work with client technical and data teams on source access, data contracts and data quality.
• Orchestrate, monitor and troubleshoot pipelines, resolving failures quickly.
• Document integrations, data flows and dependencies for the wider team.
• Advise on integration scope and effort during use case planning.
• Mentor associate data engineers.

Skills

Data engineering

ETL/ELT design

Python

SQL

Data integration

Stakeholder management

Monitoring & incident handling

Cloud data platforms

Education

Bachelors degree in CS/SE or related field

Tools

Snowflake

Databricks

Kafka

Dagster

Airflow

AWS (S3, IAM, KMS)

Kubernetes (EKS)

Datadog

Job description

Xtremepush Limited is seeking a Senior Data Engineer to own data ingestion for client marketing and personalisation use cases. You will design, build and maintain ETL/ELT jobs, work with client data teams, and ensure data lands with required latency.

Hybrid role based in Dublin, with strong emphasis on data quality, scalability, and documentation. You will leverage Snowflake, Databricks, Kafka and Airflow/Dagster to deliver robust data pipelines, mentor junior engineers, and collaborate across