Data Engineer
On-site · London, England, United Kingdom
Job Summary
Data Engineer to join Spaulding Ridge’s Data Solutions team in London. Model data as an Analytics Engineer in dbt to create business logic from raw data; assess clients’ data infrastructure and propose designs to tackle challenges; design multiple data model pipelines for specific use cases and deliver technical presentations. Manage modern data warehouses (BigQuery, Snowflake) with attention to schema, access, performance, and costs. Oversee data ingestion via ELT tools (Workato, Boomi, Fivetran) and deploy custom pipelines on cloud services. Get certified in core technologies (Snowflake SnowPro Core, Google Cloud Professional Data Engineer, dbt Certified Developer). Deliver training, technical presentations, and co-development sessions with customers to implement a Data Stack; participate in pre-sales conversations to define scope and estimate work; stay current with new features and tools and help customers adopt them. Share knowledge and collaborate with internal teams through office hours and individual sessions.
Required Qualifications
- Relevant experience modelling data, manipulating datasets, managing data warehouses, and high proficiency in SQL
- Programming experience, ideally in Python
- Experience with any Cloud Provider (Azure and GCP preferred) and their respective data services
- Experience with Git, CI/CD, and Infrastructure as code (like Terraform)
- Knowledge of BI tools such as Omni, Sigma, Looker, Power BI
- Self-motivation to study, discover new products and technologies in the data landscape
- Ability to speak and write in English (fluently)
- Experience in delivering technical presentations
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