6 of 6 Remote BigQuery Jobs in Central London

version control best practices in a collaborative engineering environment. Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation More ❯

version control best practices in a collaborative engineering environment. Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation More ❯

re Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication skills. Why This Role Stands More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

a highly skilled Data Engineer to join a long-term financial services engagement. This is a hands-on role where you'll be leveraging your Python, SQL, and (ideally) BigQuery/GCP expertise to deliver high-quality data solutions. You will work directly with critical investment and reinsurance datasets, helping business leaders make informed decisions through robust data engineering … and modelling to support senior stakeholders. Build scalable solutions using Python (Pandas, NumPy) and SQL for large, complex datasets. Contribute to data pipelines and workflows on Google Cloud Platform (BigQuery) . Translate business requirements into effective data engineering solutions. Work closely with financial services experts in the asset management, investments, and reinsurance domains. Must Have Domain knowledge: Strong background … in asset management, investments, or reinsurance. Python expertise: Proven experience with data libraries (Pandas, NumPy). SQL: Advanced data manipulation and querying skills. Cloud experience: GCP/BigQuery (or similar cloud platforms). Education: Degree in Investments, Accounting, Actuarial Science, or related discipline from a UK university. Nice to Have Experience with dbt or Databricks . Background in life More ❯

ll shape data strategy, lead analytics delivery, and work with global-scale datasets, all while being fully remote. From Google, Meta, TikTok, and Amazon, through to advanced cloud infrastructure (BigQuery, Cloud Functions, Cloud Run), you’ll be building, optimising, and leading analytics across a variety of cutting-edge ecosystems. This is a hands-on role that is also highly … in marketing data or an agency environment is desired. What you'll need: GCP, SQL, Python, JavaScript Google Tag Manager (GTM) Mobile marketing platforms (MMP) Experience creating reports using BigQuery and Looker Studio Knowledge in analytics and tracking technologies (e.g. Meta, TikTok, Google Ads, etc.) What you'll get: 10% bonus Remote first/flexible working "Work from anywhere More ❯