1 to 25 of 383 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 ❯

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 ❯

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 ❯

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 ❯

processing frameworks (e.g., Apache Spark, Airflow, dbt). Hands-on experience with cloud-based data solutions (e.g., AWS, GCP, Azure) and data warehouses (e.g., BigQuery, Snowflake, Redshift). In-depth knowledge of SEO metrics, search algorithms, and technical SEO principles. Experience working with APIs from Google Search Console, Google 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

for data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache More ❯

for data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache 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 ❯

Kimball/Inmon methodologies and data normalization techniques. Work with cloud-native data technologies across Azure, GCP, and AWS , including Azure SQL, PostgreSQL, Google BigQuery, MongoDB, and Google Firestore . Oversee the implementation of big data file formats (Avro, Parquet, ORC, Delta) and ensure data integrity across structured and More ❯

community of practitioners in product development, strategy, finance, marketing, and sales. We work with cutting-edge data infrastructure such as Stitch, Meroxa, dbt, Google BigQuery, Google AI platform, Data Studio, and more. You'll have plenty of development and training opportunities in a truly forward-thinking company. The role More ❯

ELT workflows. Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience with data tools: Hadoop, Spark, Kafka, etc. Code versioning (Github integration and automation). Experience with scripting languages such as More ❯

such as Tableau Experience working with APIs Experience working with large-scale spatial datasets (billions of rows) and performing geospatial analysis at scale using BigQuery GIS or similar tools Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to More ❯

tools such as Tableau Experience working with APIs Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to 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 ❯

tools such as Tableau • Experience working with APIs • Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to More ❯

tools such as Tableau • Experience working with APIs • Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to More ❯