Data Engineer

GCS Recruitment; Ireland; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid working

Competitive salary and benefits

Professional development

Job summary

GCS Recruitment is seeking a Data Engineer to design, build and maintain scalable ETL/ELT data pipelines in a hybrid Ireland role. You will work with multiple data sources, cloud platforms, and modern data warehouses to deliver high-quality datasets for reporting and AI initiatives.

You will partner with Data Scientists and Analytics teams, monitor pipelines, and help shape best practices in data architecture while contributing to enterprise-scale cloud transformations.

Qualifications

• 3+ years of data engineering experience.
• Strong SQL and data management skills.
• Experience building ETL/ELT pipelines.
• Python experience for data engineering.
• Cloud platform experience (Azure, AWS, or GCP).
• Familiar with Snowflake, Azure Synapse, Redshift or BigQuery.
• Familiar with orchestration tools such as Airflow, Azure Data Factory, or similar.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Develop and optimise data integration processes from multiple data sources.
• Build and maintain cloud-based data platforms and data warehouses.
• Ensure data quality, governance, and security across the data estate.
• Collaborate with Data Scientists and Analytics teams to provide high-quality datasets.
• Monitor, troubleshoot, and optimise data pipeline performance.
• Contribute to modern data architecture and best practices.
• Support ongoing data transformation and digital innovation projects.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.

Skills

SQL

Python

Data modelling

Big data

Communication

Tools

Airflow

Git

Snowflake

Azure Synapse

Redshift

BigQuery

Job description

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Develop and optimise data integration processes from multiple internal and external data sources.
• Build and maintain cloud-based data platforms and data warehouses.
• Ensure data quality, integrity, governance, and security across the data estate.
• Work closely with Data Scientists and Analytics teams to provide high-quality datasets for reporting and machine learning initiatives.
• Monitor, troubleshoot, and optimise data pipeline performance.
• Contribute to the design and implementation of modern data architecture and best practices.
• Support ongoing data transformation and digital innovation projects.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

About You

• Experience working as a Data Engineer or in a similar data-focused role.
• Strong SQL skills and experience working with large datasets.
• Experience building ETL/ELT pipelines.
• Knowledge of Python for data engineering and automation.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Experience working with modern data warehouses such as Snowflake, Azure Synapse, Redshift, or BigQuery.
• Familiarity with orchestration tools such as Airflow, Azure Data Factory, or similar.
• Experience with version control tools such as Git.
• Understanding of data modelling and database design principles.
• Excellent problem-solving and communication skills.

Desirable Experience

• Experience with Databricks or Apache Spark.
• Exposure to streaming technologies such as Kafka.
• Experience supporting AI, Machine Learning, or Advanced Analytics projects.
• Knowledge of CI/CD practices and Infrastructure as Code.
• Experience working within Agile environments.

What's on Offer

• Competitive salary and benefits package.
• Hybrid and flexible working arrangements.
• Opportunity to work on enterprise-scale data and cloud transformation projects.
• Exposure to modern cloud technologies and AI initiatives.
• Clear career progression and professional development opportunities.
• Collaborative and innovative working environment.