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Data Engineer

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Onsite

Data Engineer

The Recruitment Company

Data Engineer

Skills

SQL QueriesData EngineeringKafkaSnowflakeData AnalysisAWSTerraform

6 days ago

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Important information


Contract type:

Permanent

Location:

Galway, Ireland

Work mode:

Onsite

Published on:

14 October 2026

What they need


Location: Galway | Contract: 12 months | Day Rate We’re looking for a Senior Data Engineer for a 12-month day-rate contract based in Galway. You’ll play a key role in developing and modernising a large-scale data platform, with a strong focus on data modelling, cloud-native engineering and delivering reliable, analytics-ready data products using Snowflake and AWS.

Your Experience

  • 4+ years’ experience in Data Engineering, Analytics Engineering or Data Platform Engineering.
  • Strong data modelling expertise, including conceptual, logical, physical and dimensional modelling, with experience designing scalable data models for analytics and reporting.
  • Advanced SQL skills, including query optimisation and performance tuning.
  • Hands-on experience with Snowflake and AWS cloud services.
  • Experience building and maintaining data pipelines, ideally using event-driven architectures or real-time streaming technologies such as Kafka or Kinesis.
  • Knowledge of data warehousing, operational databases and modern data architectures.
  • Familiarity with Git, CI/CD, automated testing and Infrastructure-as-Code tools such as Terraform.
  • Understanding of data quality, governance, security and monitoring practices.

Your Responsibilities

  • Design and implement robust conceptual, logical and physical data models to support analytics, reporting and forecasting.
  • Develop and maintain high-quality, analytics-ready datasets and data products within Snowflake.
  • Build scalable, cloud-native data pipelines and integrations using AWS and streaming technologies.
  • Work with business and technical stakeholders to translate requirements into effective data solutions.
  • Implement data quality, monitoring, governance and security standards.
  • Automate deployments and improve development processes using CI/CD and Infrastructure-as-Code.
  • Support and continuously improve critical production data platforms, ensuring reliability, performance and scalability.

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