1 to 25 of 129 BigQuery Jobs

through involvement in project/sprint planning and QA Nice to have - "Desirable": Knowledge of other cloud platforms * Google Data Products tools knowledge (e.g., BigQuery, Dataflow, DataProc, AI Building Blocks, Looker, Cloud Data Fusion, Data prep, etc.) Relevant certifications * Python * Snowflake * Databricks To apply please click the "Apply" button more »

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 »

maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business more »

Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, DeltaLake, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service, Azure ML is a plus. Languages : Python, SQL more »

/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies such as BigQuery, Azure Synapse, Redshift, Oracle, Teradata, and more. Familiarity with Agile methodologies, particularly Scrum, to support dynamic project management. Valuable contributions to open-source projects more »

/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies such as BigQuery, Azure Synapse, Redshift, Oracle, Teradata, and more. Familiarity with Agile methodologies, particularly Scrum, to support dynamic project management. Valuable contributions to open-source projects 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 Key Responsibilities Designing and implementing scalable data pipelines using tools such as Apache Spark, Google PubSub etc. Optimising data storage more »

Agile in principles and practices and tools like Jira and Confluence. What technical skills you will have Experience with general Cloud products (Cloyd SQL, BigQuery, RedShift, Snowflake, Apache Beam, Spark) or similar products. Experience with open-source data-stack tools such as Airflow, Airbyte, DBT, Kafka etc. Awareness of more »

patterns SKILLS AND QUALIFICATIONS * Experience within a commercial environment creating ETL pipelines in python * Exposure to analytical data warehouses such as Snowflake, Redshift or BigQuery (Redshift Preferred) * Experience with data orchestrators such as Airflow, AWS Step Functions, AWS Batch * Knowledge of Agile development methodologies * Knowledge of automated delivery processes more »

Proficiency in DBT (Data Build Tool) for modelling and transforming data in a cloud environment. - Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Pub/Sub. - Strong understanding of ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) methodologies. - Familiarity with visualisation tools like PowerBI more »

technologies Experience using languages/tools/databases such as SQL and NoSQL, Python. Strong experience with Google Cloud Platform, particularly GKE and Google BigQuery Work with the data engineers and data scientist conveying the design and implementation for the programmes and ensuring adherence to the technology principles and more »

data processing and pipeline building - Data warehousing, data modelling concepts and structuring new data tables - Experience with cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift) Any experience in the following will be highly advantageous: - Experience developing in a BI tool - ideally Looker - Solid understanding of version control. SQL more »

Python coding skills Containerisation experience (Dockers, Kubernetes) Cloud Computing experience ( GCP/AWS/Azure ) Strong preference for a Snowflake background but open to Bigquery or Redshift Unfortunately sponsorship cannot be provided for this role If you are interested please apply here or reach out to morgan.beck@xcede.com for more »

will have the following: Ideally 4 years of experience in Data Engineering Must have experience using GCP (Google cloud platform) Excellent use of SQL, BigQuery and ideally looker Expereince working across different teams including Data Scientists Demonstrated proficiency in implementing end-to-end continuous delivery pipelines, automating build, testing 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 »

of programming techniques and languages like Python, Scala, Java script etc Good working knowledge of Cloud data warehousing platforms such as Snowflake, Redshift or BigQuery Good Understanding of the HE Regulatory Framework Benefits: Private medical (health) insurance with BUPA Annual leave (5.6 weeks), including bank holidays. Workplace pension scheme. more »

to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch! We 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 »

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 »

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 »