1 to 25 of 136 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 ...

systems. Data Platform & Engineering Excellence Lead the evolution of the enterprise data estate, leveraging modern data platforms such as Databricks , Snowflake , Azure Synapse , and BigQuery . Oversee data engineering using Apache Airflow , dbt , and Prefect , ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards ( Collibra , Alation ...

experience with one or more programming languages such \n as Python, Java. \n ● Experience with modern cloud data warehouse platforms such as Snowflake, \n BigQuery, Redshift or similar. \n ● Experience with cloud-based data platforms, particularly AWS or GCP. \n ● Experience with data warehousing, data modelling, and ETL development. ...

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 ...

optimised queries. Experience building and maintaining data models using dbt or similar transformation tools. Experience working with modern cloud data platforms such as Snowflake, BigQuery, Azure Synapse or Databricks. Strong understanding of ELT processes and data modelling principles. Experience working with version control tools such as Git. Ability ...

. Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS).\n Certifications & Tools \n \n Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). \n Cloud certifications (AWS, Azure, GCP) are beneficial but not required.\n Other Requirements \n \n Minimum 3 years' experience working ...

Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public ...

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 ...

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 ...

reviewing, optimising, and assuring the quality of complex transformations \n Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse \n Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration ...

. 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 ...

. 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 ...

. 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 ...

. 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 ...

building reliable, scalable data solutions. Youll bring: Strong experience with SQL (including optimisation) and Python for data engineering Hands-on experience working with GCP (BigQuery) and/or Microsoft Fabric (Synapse/OneLake) Experience building and managing data pipelines and workflow orchestration tools (e.g. Airflow, Data Factory) A solid ...

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 ...

experience with programming languages like Python along with proficiency in SQL. \nExperience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc.Solid grasp of Kubernetes, CI/CD and Terraform.Working knowledge of ETL and ELT frameworks and orchestration ...

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 ...

digital transformation programmes. Skills & Experience Essential Significant experience designing and delivering enterprise data warehouse, lakehouse, or analytics platforms. Strong experience with technologies such as BigQuery, Snowflake, Databricks, and Azure Synapse Analytics. Google Cloud Platform (GCP) experience highly desirable Deep understanding of data architecture principles and scalable solution design. Expertise ...

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 ...

technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing ...

technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing ...