1 to 25 of 80 BigQuery Jobs in the UK excluding London

skills, non-negotiable Significant hands-on experience integrating APIs into real, production data flows Experience with the Google Cloud Platform data stack, including BigQuery, Cloud Functions, Cloud Storage, Pub/Sub, IAM Management, and Data Studio Strong working knowledge of Python for pipeline development, automation, and tooling integration Hands ...

Python programming skills. Experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Experience working with cloud platforms, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Knowledge of CI/CD practices, change management, and environment controls across development, testing, and production. Experience creating ...

Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data warehouses and data platforms. Strong understanding of CI/CD, change management, and environment controls ...

tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. Advanced SQL skills, including ...

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 ...

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 ...

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 ...

months contract Hybrid role with the opportunity for the role to go permanent. What You'll Do: Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow; Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

major cloud platform and its AI ecosystem: AWS: SageMaker, Bedrock, Glue, Redshift. Azure: Azure OpenAI Service, Azure Machine Learning, Synapse. GCP: Vertex AI, BigQuery ML, Dataflow. The ideal candidate will have strong experience in Advanced Data Modeling: Proven success modelling for both traditional relational/NoSQL analytical engines ...

patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration: Assessment methodologies, migration patterns, data validation, cutover ...

patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration: Assessment methodologies, migration patterns, data validation, cutover ...

patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration: Assessment methodologies, migration patterns, data validation, cutover ...

patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration: Assessment methodologies, migration patterns, data validation, cutover ...

patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration: Assessment methodologies, migration patterns, data validation, cutover ...

Experience in a Lead or Principal Data Engineering role. Strong cloud data platform expertise, including Google Cloud Platform (GCP). Hands-on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer. Advanced SQL and Python skills. Expertise in data lakes, data warehouses, and modern ...

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems or a related field Desirable: Experience with GCP data services including BigQuery and Pub/Sub Experience with streaming technologies such as Kafka or Confluent Familiarity with encryption standards and key management solutions including ...