1 to 25 of 464 BigQuery Jobs in England

Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with ...

Cloud, or Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with ...

have experience following software engineering best practices like version control and continuous integration You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functions Experience with dbt for data transformation layer Experience with IaC tooling ...

Scala), with a focus on performance optimisation and maintainability. Designing and building solutions on a cloud data warehouse or lakehouse platform (e.g., Databricks, Snowflake, BigQuery, Redshift). Strong understanding of data modelling principles for analytics, reporting, machine learning and AI use cases. Experience applying modern engineering practices, including ...

Cloud platforms: working knowledge of cost and usage data schemas across Azure (Cost Management, Synapse/Fabric), AWS (Cost Explorer, Athena, Glue), and GCP (BigQuery). AI/ML: proficiency in the Python ML ecosystem (scikit‐learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow ...

knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery Experience with Python/PySpark Experience with implementing Rest APIs. Experience with using and integrating BI tools such as QuickSight, Looker, Power BI, Tableau ...

data mapping, migration QA and reporting continuity. NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures. GA4, BigQuery export, Google Ads/SEM feeds, Segment or other event and marketing analytics sources. Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/ ...

modern data/ML ecosystem SQL – advanced querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/lakes – BigQuery, Snowflake, Redshift, or Databricks ML frameworks – PyTorch, TensorFlow, or scikit‐learn LLM & AI tooling – OpenAI, Anthropic; LangChain or LlamaIndex Agentic AI – LangGraph, LangChain Agents, AutoGen ...

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 ...

Databricks. Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale. Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow). Experience working with marketing or ad platform data (Google Ads, Meta, TikTok, DV360, Amazon Ads). Demonstrated expertise in code versioning (GitHub ...

Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years’ experience working on data engineering ...

data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development ...

Data Architecture, and Cloud Solutions with strong expertise in Google Cloud Platform (GCP). Expert-level hands-on experience with GCP data services including BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI. Advanced proficiency in dbt, Python, and SQL for designing, building ...

Data Build Tool) or similar data transformation frameworks is essential. Data Warehousing: Experience working with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift. Data modelling: Solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modelling techniques. Version Control: Proficiency with ...

PySpark SQL Knowledge of AWS and components such as S3, Glue, Athena, RDS Experience with Data Warehouse databases like Redshift/Snowflake/BigQuery Experience with implementing Rest APIs. Experience with using and integrating BI tools such as Looker, Qlik, Power BI, Tableau Modern data engineering practises This ...

environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience working with financial data, regulatory reporting ...

environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience working with financial data, regulatory reporting ...

Strong SQL skills, including complex joins, window functions, aggregation, and query optimization; Experience with a major data warehouse or big data technology such as BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, or StarRocks; Experience with ETL/ELT tools or orchestration frameworks such as Airflow, dbt, or internal frameworks; Proficiency ...

confidence reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable ...

storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

physical models, including both third normal form and dimensional modelling approaches. Advanced SQL skills and experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift. Demonstrated ability to design analytics models that are technically robust and intuitive for business users. Experience building greenfield analytics or data platforms ...

Experience Proven experience in the market as a SQL and PLSQL developer. Extensive experience with any SQL cloud databases like Snowflake/Redshift/BigQuery/Azure SQL database. Experience with any on-premise SQL database like MS SQL Server, Teradata etc. Clear understanding of one ETL tool ...

best practices and capability development. Supporting innovation and the adoption of new technologies across projects. Your Skills & Experience Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker. Experience delivering analytics, business intelligence, or data engineering projects in a consulting environment. Advanced SQL, data modelling, cloud data warehousing ...

best practices and capability development. Supporting innovation and the adoption of new technologies across projects. Your Skills & Experience Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker. Experience delivering analytics, business intelligence, or data engineering projects in a consulting environment. Advanced SQL, data modelling, cloud data warehousing ...

with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). Strong knowledge of data security, compliance, and governance frameworks. Effective communication in English. Preferred Qualifications Experience ...