26 to 50 of 288 BigQuery Jobs in London

Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures). Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery). Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments. #J-18808-Ljbffr ...

Python and SQL dbt for data transformations dlt for data extraction and loading Google Cloud Platform (GCP): Cloud Functions, Workflows, Cloud SQL, Cloud Storage, BigQuery, Pub/Sub, and Datastream PostgreSQL Data Science Python (polars, pandas, scikit) Jupyter notebooks SQL and dbt Infrastructure and delivery GitHub Actions Terraform Artifact ...

Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures). Hands‐on experience with cloud data platforms (Snowflake, Databricks, BigQuery). Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments. Unleash Your Potential When you join Salesforce ...

retail, eCommerce, or consulting environments* Advanced SQL and ETL capabilities* Strong data‐visualisation expertise (Tableau or comparable)* Hands‐on experience with Google Analytics and BigQuery* Proficiency in Python or R for analysis and modelling* Proven ability to drive adoption of data‐based measurement and turn metrics into strategic actions ...

Data Engineer, building and maintaining production-grade data pipelines Extensive hands-on experience with Python and SQL Strong experience with GCP and BigQuery Experience with HubSpot Practical experience with reverse ETL and moving data between warehouses and operational systems Strong understanding of APIs Familiarity with modern data engineering tools ...

Core/Cloud). Strong proficiency in SQL and good understanding of data modelling patterns. Experience with a modern cloud data warehouse (Snowflake, BigQuery etc). Experience with version control using Git. Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. ...

What you’ll do Develop high quality data models that transform raw data into clean, analytics-ready datasets using tools like SQL, python, dbt, BigQuery and Prefect. Work closely with the Data Product Owner and our product stakeholders to understand data requirements and translate business and analytical needs into ...

clients, for example Azure for one and GCP for the next. Cloud: AWS, GCP, Azure Ingestion: Fivetran, Airbyte, ... Warehouse and lakehouse: Snowflake, Databricks, BigQuery, Microsoft Fabric Transformation: dbt Orchestration: Airflow, Dagster, Prefect, ... BI and semantic layers: Power BI, Looker, Tableau, ... Activation and CDPs: Hightouch, Census, Segment ...

modern data platforms and data architecture Experience designing and explaining Lakehouse and Data Warehouse architectures using technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, or similar Strong understanding of ETL/ELT, analytics and BI, stream vs batch processing, and Medallion Architecture Familiarity with the Data Science ...

technical decisions to both technical and non-technical stakeholders. Desirable Experience Modern web development using Next.js, React and TypeScript. Google Cloud Platform services, particularly BigQuery and Cloud Run. Enterprise authentication and authorisation, including SSO, SAML, OAuth and role-based access control. Designing and optimising applications that process large datasets ...

analytical problems. Data governance frameworks, marketing analytics and attribution. Experience with tools and technologies such as dbt, Airflow, Git, Google Cloud Storage (GCS), BigQuery, or ClickHouse. Familiarity with data governance and cataloguing tools such as Atlan, Alation, or OpenMetadata. What we offer Real ownership over products that impact millions ...

Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures). Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery). Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments. We are a recognised Disability Confident member under ...

privacy and AI regulation, preferably within financial services. Familiarity with real-time data processing and streaming analytics. Experience in GCP data processing suite, like BigQuery, Dataflow and Datastream GCP Professional Data Engineer or Professional Machine Learning Engineer certifications. Fundment Values Collaborative: listening, communicating and working towards shared goals. Innovative ...

writing basic Python scripts for data manipulation, automation, and analysis Experience contributing to a shared analytics codebase or modern data stack (e.g., Snowflake/BigQuery + dbt + Git workflow) Analytical curiosity and a structured approach to problem solving Good communication skills - able to explain insights clearly and visually ...

e.g., HDFS, Hive, HBase) or experience with high-volume, low-latency data storage and analytics platforms Exposure to GCP cloud tooling (e.g., Cloud DataFlow, BigQuery) Benefits What you’ll get in return Our team is full of down-to-earth people passionate about data, with career potential and exposure ...

Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.) Strong communication skills across technical ...

build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift). Additional Programming: Knowledge of C# and experience working within a .NET environment. AI Tooling: Experiencing utilising AI-assisted development tools, such as Github ...

consider hardest to buy: translating how the business works into models and numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across systems. ...

PySpark or Scala.Experience with dbt for data modelling and transformation.Strong knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory.Strong understanding of DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes.Experience with data quality ...

Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role Extensive experience with SQL , particularly with BigQuery and PostgreSQL Demonstrated experience with dbt , with a track record of building and maintaining efficient, scalable, and reliable DAGs Python proficiency for data manipulation, scripting ...

similar data sources is highly desirable. Advanced skills in SQL and working with large datasets from various sources (structured and unstructured), ideally using BigQuery and GCP. Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to present insights clearly and effectively. Understanding of digital advertising metrics (e.g., impressions ...

related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

Scala. Experience with dbt for data modelling and transformation. Strong knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory. Strong understanding of DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes. Experience with ...

Snowflake whilst representing the businesses needs. What we’re looking for Deep Expertise in SQL with experience working with modern Data Warehouses (Snowflake, Redshift, BigQuery). Hands-on experience with DBT, building and maintaining modular, scalable data models. A practical approach to problem-solving that balances high technical standards ...

cloud environmentStrong hands-on experience building production grade ETLELT pipelines and orchestration with AirflowSolid experience on Google Cloud Platform such as Data services eg BigQuery Cloud Storage PubSub Dataflow and or container platforms eg GKE Cloud Run IAM networking secrets management and environment separationStrong software engineering foundations Python APIs ...