Global IT Data Engineer

Salary: £105, per year

• Bachelors Degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 4-6 years of relevant experience in Data Engineering.
• Expertise in SQL, especially within cloud-based data warehouses like Snowflake, API-integrated data pipelines using Python.
• Hands-on experience with AWS technologies such as AWS Lambda/Glue, S3, and Cloud Formation.
• Familiarity with cloud data warehouse platforms such as Snowflake, developing data pipelines in DBT (Data Build Tool); or other ETL/ELT tools, languages, and frameworks is a plus.
• Working knowledge of version controlling tools, CI/CD processes and deployments using tools such as Git Hub, Git Actions, Terraform.
• Experience working with semi-structured and unstructured data formats such as JSON and XML.
• Familiarity with Data orchestration tools such as Airflow.
• Experience working in Agile/Scrum environments is preferred.
• Experience with in GenAI space is a plus.

• Design, build, test, and maintain data pipelines while managing the data platform.
• Develop integrations from diverse data sources including on-premises systems and external APIs.
• Support and troubleshoot production processes.
• Contribute to scalable pipeline design and resolve data discrepancies.
• Ensure SLAs are met while continuously improving data models, code efficiency, and data quality.
• Adhere to best practices in data integrity, testing, security, and documentation.
• Continuously expand technical expertise and stay current with evolving tools and platforms.

• Airflow
• API
• AWS
• Lambda
• CI/CD
• Cloud
• Data Warehouse
• ETL
• Git
• Git Hub
• JSON
• Python
• SQL
• Security
• Snowflake
• Terraform
• XML
• dbt
• Spark