5 of 5 Remote/Hybrid BigQuery Jobs in Central London

/CD, automated testing, and comprehensive documentation. Your Tech Stack Language: Expert-level Python and advanced SQL . Cloud: Extensive experience with GCP (BigQuery, Cloud Storage, Dataflow/PubSub, Cloud Composer/Airflow). Tools: Experience with data orchestration tools and version control (Git). Environment: Proficiency in building ...

code. Experience scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders ...

degree or equivalent combination of education and experience required At least 2 years of SQL experience required Experience with Google Analytics or Google BigQuery Strong qualitative and quantitative skills required Analyse various situations and develop creative solutions using data Ability to prioritize workload and manage time across various tasks ...

pandas, httpx, sdmx, pydantic, FastAPI, FastMCP, ADK), SQL (ISO Graph Query Language would be a plus) Cloud: Google Cloud Platform (Cloud Run, Cloud Build, BigQuery, Spanner Graph, Cloud SQL, Cloud Storage) Other: DuckDB, Terraform, Git, Cloud Build The infrastructure runs primarily on Google Cloud Platform, with the Knowledge Graph … built on Spanner through the Data Commons infrastructure, alongside BigQuery for internal analytical workloads and MySQL for supporting services. Key responsibilities: Data infrastructure and pipelines Design, build, and maintain open-source ETL/ELT pipelines that ingest, clean, transform, and deliver development finance data from multiple sources. Contribute ...

behavioural categorisation). Strong proficiency in Python and ML libraries (e.g., XGBoost, scikit-learn, pandas). Comfortable working with SQL and large datasets (BigQuery experience a strong plus). Experience evaluating model performance rigorously and iterating based on data. Strong analytical thinking and attention to detail. Able to explain … working in a small, fast-moving team. Nice to Have Experience with transaction data, financial data, or open banking datasets. Familiarity with GCP, especially BigQuery and CloudRun. Exposure to NLP techniques for messy text classification. Experience building reusable model pipelines. Background in fintech, lending, or other regulated environments. What ...