1 to 25 of 310 BigQuery Jobs in the UK

Cloud, or Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with ...

with data pipeline tools (e.g., Apache Airflow, Kafka) Familiarity with cloud platforms (AWS, Azure, Google Cloud) Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Strong problem-solving and analytical skills Preferred Skills Experience with big data technologies (e.g., Hadoop, Spark) Knowledge of data modeling techniques and schema design ...

Cloud platforms: working knowledge of cost and usage data schemas across Azure (Cost Management, Synapse/Fabric), AWS (Cost Explorer, Athena, Glue), and GCP (BigQuery). AI/ML: proficiency in the Python ML ecosystem (scikit‐learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow ...

workflows. Required Skills Commercial experience in a Data Engineering or Data Developer role. Strong SQL and Python programming skills. Hands-on experience with Google BigQuery and Google Cloud Platform. Experience implementing cloud-based data solutions. Experience integrating Salesforce Marketing Cloud and Salesforce CRM data. Understanding of marketing platforms, campaign ...

knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery Experience with Python/PySpark Experience with implementing Rest APIs. Experience with using and integrating BI tools such as QuickSight, Looker, Power BI, Tableau ...

with the ability to write, read, and optimise complex queries across large datasets Experience working with a cloud data warehouse such as Snowflake (preferred), BigQuery, Redshift, or Synapse Experience working in a modern cloud environment (AWS, GCP, or Azure), with exposure to core services such as cloud storage ...

focus on large scale data transformation and data warehousing. Excellent SQL coding skills. Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such ...

data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development ...

PySpark SQL Knowledge of AWS and components such as S3, Glue, Athena, RDS Experience with Data Warehouse databases like Redshift/Snowflake/BigQuery Experience with implementing Rest APIs. Experience with using and integrating BI tools such as Looker, Qlik, Power BI, Tableau Modern data engineering practises This ...

Data & Technical Proficiency Strong hands-on capability wi th SQL and data exploration too ls.Solid working knowledge of cloud data platforms (e.g., Snowflake, Databricks, BigQuery, AWS, Azur e).Conceptual understanding of data modeling practices, modern ETL/ELT architecture, APIs, and microservices .Exposure to modern BI tools (e.g., Tableau ...

hear from candidates with experience in one or more of the following: Languages: Python, SQL, C#, Golang, Java, Kotlin, TypeScript, or Rust Data Platforms: BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, MySQL, MongoDB, or other SQL/NoSQL technologies Data Tooling: Airflow, dbt, AWS Glue, Step Functions, Spark, Hadoop, or similar ...

/storage, tagging).Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt).J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most ...

physical models, including both third normal form and dimensional modelling approaches. Advanced SQL skills and experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift. Demonstrated ability to design analytics models that are technically robust and intuitive for business users. Experience building greenfield analytics or data platforms ...

reason about warehouse cost and performance, not just correctness. Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery).Experience scaling a data platform through growth — onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch. ...

best practices and capability development. Supporting innovation and the adoption of new technologies across projects. Your Skills & Experience Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker. Experience delivering analytics, business intelligence, or data engineering projects in a consulting environment. Advanced SQL, data modelling, cloud data warehousing ...

best practices and capability development. Supporting innovation and the adoption of new technologies across projects. Your Skills & Experience Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker. Experience delivering analytics, business intelligence, or data engineering projects in a consulting environment. Advanced SQL, data modelling, cloud data warehousing ...

queries for: Data validationRoot cause analysisReport troubleshootingSupport and maintain data warehouse environments, such as: Azure Synapse AnalyticsSQL Server/Azure SQL DBSnowflake or BigQuery (optional, if used in hybrid environments)Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCAInvestigate job failures and performance ...

Data Science. You'll enable our data driven approach, and: Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce ...

Data Science. You'll enable our data driven approach, and: Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce ...

practice initiatives. Supporting the adoption of emerging analytics, cloud, and AI technologies. Your Skills & Experience You should have: Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker. Experience delivering analytics, business intelligence, or data engineering projects in a consulting or client-facing environment. Excellent SQL, data modelling, cloud ...

analytics engineering best practices. * Experience with source control, CI/CD, and modern development practices. * Excellent stakeholder management and communication skills. Desirable: * Google Cloud, BigQuery, dbt, Looker, or similar modern data stack technologies. * Cloud or analytics certifications. * Experience in fast-paced, project-driven environments. What's on Offer ...

Hands-on experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with data warehouse technologies (BigQuery, Redshift, Snowflake, etc.). #mle #machinelearning #datascientist #python #sql #timeseries #ai #cicd #cloud #contractjobs Reasonable Adjustments: Respect and equality are core values to us. ...

. What you'll be doing Design and build scalable ETL/ELT data pipelines across multiple enterprise data sources Develop data solutions using BigQuery, Google Spanner, Neo4j and vector databases Build and maintain Knowledge Graphs connecting enterprise entities, systems and knowledge assets Develop and optimise search indexing ...

processing systems using ETL/ELT methodologies. Cloud Resource Management: Learning to deploy and maintain software utilizingGCP services such as Pub/Sub, BigQuery, Cloud Storage Cross-functional Collaboration: Partnering with BI, infrastructure, and productteams to understand data requirements and deliver technical solutions. API Development: Helping build and document ...

hands-on SQL skills with strong data modelling and data warehousing knowledge. Proven experience working with cloud-based MPP data warehouses such as Snowflake, BigQuery, or Redshift. 2+ years' experience with Looker or a similar BI tool. Strong understanding of ETL/ELT processes, data transformations, and pipeline dependencies. ...