Global IT Data Engineer

Salary: £105,000 - 130,000 per year

Requirements:

• 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 CloudFormation.
• 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 GitHub, 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 within GenAI space is a plus.

Responsibilities:

• 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.

Technologies:

• Airflow
• API
• AWS
• Lambda
• CI/CD
• Cloud
• Data Warehouse
• ETL
• Git
• GitHub
• Support
• JSON
• Marketing
• Python
• SQL
• Security
• Snowflake
• Terraform
• XML
• dbt
• Product Owner
• Spark

More:

At Boston Consulting Group, we partner with leaders in business and society to tackle their most important challenges and capture great opportunities. Our Data Hub Squad focuses on ingesting, transforming, and exposing high-quality data to support the Marketing function in making data-driven decisions. We work in a uniquely collaborative model, encouraging a positive team environment. Join us to contribute to an impactful team culture and leverage your skills in a fast-paced, Agile environment.

last updated 31 week of 2026