1 to 25 of 321 BigQuery Jobs in the UK

. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud, and cloud-based data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery). Experience with DataOps practices and tools, including CI/CD for data pipelines. Excellent leadership, communication, and interpersonal skills, with the ability to More ❯

Jenkins). Working with distributed computing frameworks, such as Apache Spark. Cloud platforms (e.g., AWS, Azure, Google Cloud) and associated services (e.g., S3, Redshift, BigQuery). Familiarity with data modelling, database systems, and SQL optimisation techniques. Other things we’re looking for (key criteria) Knowledge of the UK broadcast More ❯

Actions, Jenkins) Working with distributed computing frameworks, such as Apache Spark Cloud platforms (e.g., AWS, Azure, Google Cloud) and associated services (e.g., S3, Redshift, BigQuery) Familiarity with data modelling, database systems, and SQL optimisation techniques Other things we’re looking for (key criteria) Knowledge of the UK broadcast industry More ❯

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 More ❯

engineering role with a focus on large scale data transformation and data warehousing. 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 More ❯

Power BI, Looker). Proficiency in Python, R, or Scala for data manipulation and analytics. Experience with cloud-based data solutions (AWS Redshift, Snowflake, BigQuery, Azure Synapse). Familiarity with big data technologies (Apache Spark, Hadoop, Kafka). Understanding of data governance, security, and compliance best practices. Strong problem More ❯

critical for structuring data for analysis. Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for effective More ❯

supporting project delivery through involvement in project/sprint planning and QA Also: Knowledge of other cloud platforms Google Data Products tools knowledge (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.) Relevant certifications Python Snowflake Databricks To apply please click the 'Apply' button and More ❯

Platform 3+ years of experience in data engineering or data science. Experience with data quality assurance and testing. Ideally knowledge of GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) Understanding of logging and monitoring using tools such as Cloud Logging, ELK More ❯

technology approach combining talent with software and service expertise. Tasks & Responsibilities: Design, develop, and maintain scalable data pipelines on GCP using services such as BigQuery and Cloud Functions. Collaborate with internal consulting and client teams to understand data requirements and deliver data solutions that meet business needs. Implement data More ❯

technology approach combining talent with software and service expertise. Tasks & Responsibilities: Design, develop, and maintain scalable data pipelines on GCP using services such as BigQuery and Cloud Functions. Collaborate with internal consulting and client teams to understand data requirements and deliver data solutions that meet business needs. Implement data More ❯

But if not? We’ll help you get there: Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity More ❯

methodologies in the rapidly evolving field of data analytics. Tasks & Responsibilities: Design, develop, and maintain scalable data pipelines on GCP using services such as BigQuery and Cloud Functions. Collaborate with internal consulting and client teams to understand data requirements and deliver data solutions that meet business needs. Implement data More ❯

the product owner on planning activities. You have experience working with Snowflake (ideally) or other cloud-based data warehousing platforms (e.g., Amazon Redshift, Google BigQuery, etc). You have experience with public cloud infrastructure, ideally AWS. Nice to have experience: Data visualization through Tableau (ideally)/Power BI or More ❯

in data engineering, with at least 2 years in a leadership or management role. Strong experience with data warehousing solutions (e.g., AWS Redshift, Google BigQuery, Snowflake). Expertise in data pipeline development, ETL tools, and frameworks (e.g., Apache Airflow, Talend, Fivetran). Proficiency in SQL and experience with Python More ❯

Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau) Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc. Proficiency with Git (or similar version control) and CI/CD best practices Experience in managing workflows using Agile practices Ability to More ❯

Expertise in design of data solutions for BigQuery. Expertise in logical and physical data modelling. Hands-on experience using Google Dataflow, GCS, cloud functions, BigQuery, DataProc, Apache Beam (Python) in designing data transformation rules for batch and data streaming. Solid Python programming skills and using Apache Beam (Python). More ❯

optimization. Knowledge of cloud environments like Microsoft Azure, AWS or Google Cloud Platform. Experience with cloud-native data tools (e.g. Databricks, AWS Glue, Google BigQuery). Experience in supporting BI tools like Tableau, Power BI, or Looker. Ability to interpret data for actionable insights and collaborate with analysts. Ability More ❯

in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯

frameworks (Airflow, Dagster) to build scalable pipelines. Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery). Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies. Hands-on experience with data More ❯

frameworks (Airflow, Dagster) to build scalable pipelines. Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery). Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies. Hands-on experience with data More ❯

frameworks (Airflow, Dagster) to build scalable pipelines. Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery). Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies. Hands-on experience with data More ❯

frameworks (Airflow, Dagster) to build scalable pipelines. Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery). Familiarity with emerging data technologies like Open Table Format, Apache Iceberg , and their impact on enterprise data strategies. Hands-on experience with data More ❯

NoSQL, ETL and ELT Understanding of containerization, Graph Databases, and ML Algorithms Experience with data lake formation and data warehousing principles and technologies (e.g. BigQuery, Redshift, Snowflake) Experience using version control tools such as Git Experience building CI/CD pipelines on Jenkins or CircleCI Enthusiasm and ability to More ❯

a related role Strong programming skills in Python and SQL Excellent problem-solving and analytical skills Experience with GA4 and GA knowledge Experience with BigQuery, AWS, or other ETL tools and techniques Experience with CDP and CEP platforms such as Segment, Rudderstack, Braze etc. to support the marketing team More ❯