1 to 25 of 145 BigQuery Jobs

CD pipelines for automated deployments. Desire for operational excellence & commitment to secure coding standards and best practices. Desirable Skills Familiarity with GCP products, especially: BigQuery, Composer, Cloud Functions. Knowledge of data science fundamentals (supervised/unsupervised learning, hyperparameter optimisation, model performance evaluation). Experience in building AI/ML more »

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 »

maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise in the Maritime trading industry. more »

optionally) experience with Python.Experience building scalable, high-quality data models that serve complex business use cases.Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc).Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker.Excellent communication skills and experience 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 »

python skills. • Extensive use of cloud technologies such as AWS and GCP. • Good working knowledge of Data Warehousing technologies (such as AWS Redshift, GCP BigQuery or Snowflake). • Experience in deploying and scheduling code bases in a data development environment, using technologies such as Airflow. • Demonstrable experience of working 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 »

growing technology startups is also an asset What you’ll need 3+ years of analytical experience collaborating with stakeholders across departments, utilising SQL (Dataform, Bigquery) to process and analyse data efficiently Be a data modelling expert who can shape data for stakeholder needs using LookML/SQL/Python 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 »

Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data 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 »

GitHub Actions, CircleCI) for automating deployment, monitoring, and scaling of applications. Proficiency in SQL and experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, BigQuery). Excellent problem-solving skills, attention to detail, and ability to work collaboratively in a cross-functional team environment. more »

debugging skills. Strong interpersonal skills; able to work independently as well as in a team. Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis. Experience in containerization and infrastructure as code: Docker/Kubernetes/Terraform Familiar with monitoring tools such as Prometheus, Grafana, Splunk more »

of various data storage options (e.g., relational databases, NoSQL, data lakes) and hands-on experience with managing and optimizing databases such as PostgreSQL, MySQL, BigQuery, and RedshiftLeadership and communication: Ability to lead a team of engineers, collaborate effectively with cross-functional teams, and communicate complex technical concepts to both 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 »

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 »

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 »