Data Engineer

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.

GCS is acting as an Employment Business in relation to this vacancy.