1 to 25 of 67 Permanent BigQuery Jobs in the UK excluding London

in everything you do Desirables Bachelor’s degree in computer science or related field Experience with the Google Cloud Platform/Data Stack including: BigQuery Cloud Functions Cloud Storage Pub/Sub IAM Management Looker Data Studio Coding experience with Python/Javascript/C# Familiarity with statistical/ more »

enhancing database performance. Proficient in data modeling and data warehousing. Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. Strong problem-solving skills and a meticulous approach to code reviews. Proven leadership qualities more »

performance. l Proficient in data modeling and data warehousing. l Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. l Strong problem-solving skills and a meticulous approach to code reviews. l Proven more »

building data pipelines using ETL tools like Apache Spark or Apache Beam Experience with cloud-based data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake Proficiency in SQL and NoSQL databases Familiarity with data modeling techniques and implementing efficient database schemas Knowledge of distributed systems, containerization, and more »

Flink, or Hadoop. > Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure. > Experience with data warehousing technologies such as Redshift, BigQuery, or Snowflake. > Knowledge of database systems such as MySQL, PostgreSQL, or MongoDB. > Excellent problem-solving skills and attention to detail. > Strong communication and collaboration more »

product teams on existing projects and new innovations to support company growth and profitability. Our Tech Stack Python Scala Kotlin Spark Google PubSub Elasticsearch Bigquery, PostgresQL Kubernetes, Docker, Airflow Ke y Responsibilities Designing and implementing scalable data pipelines using tools such as Apache Spark, Google PubSub etc. Optimising data more »

CodeBuild, SSM, Secret Manager, Lambda, API Gateway etc. Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery). Knowledge of Database administration Demonstrate experience of using Terraform to provision and configure infrastructure Scripting ability – PowerShell, Python, Bash etc. Comfortable working with more »

Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex more »

expertise developing scalable data pipelines. Strong object oriented programming skills, particularly in Python . Experience with data lakes and data warehousing solutions ( Spark, Dataflow, BigQuery ). Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding of its more »

to deliver best in class data science products and solutions for end clients Exposure to cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. more »

segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. You've a track record of taking data science products from conception through to deployment in production. You've had experience more »

and self-service analytics solutions. Proficiency in data modelling, ETL processes, data integration, and data visualisation tools. Previous Cloud Migration experience essential (either Synapse, BigQuery, Redshift) Expert level experience working with Azure and or Certified Azure Data Engineer Associate Interest on and exposure to on Generative AI are beneficial. more »

and have had hands-on experience in their application. You've had some experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. Proven experience of working with customer data. You've a strong commitment to accuracy and rigour in the analysis produced. You are empathetic more »

some experience using other languages such as Python or R. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. Experience of marketing campaign design and analysis is essential, working with customer data to find key insights to inform and drive more »

opportunity you would like to apply to, please review the necessary competencies below: Knowledge of ETL, Analytics & Data Warehousing Experience with Cloud, AWS, Snowflake, Bigquery Experience in building a data driven culture, in the form of self-serve analytics Previous hands on experience in building a best in class more »

Demonstratable commercial experience working on Data Pipelines, Data Warehouse, and ETLs. Strong Python coding skills GCP experience (GCP Datastream, Pub/Sub, Dataflow, Dataform, BigQuery) Experience with modern development methods and tooling: containers (e.g., Docker) container orchestration (Kubernetes/K8s) CI/CD experience Version control (Git, Github, Gitlab more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »