1 to 25 of 71 BigQuery Jobs in the UK excluding London

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 ...

skills, non-negotiable Significant hands-on experience integrating APIs into real, production data flows Experience with the Google Cloud Platform data stack, including BigQuery, Cloud Functions, Cloud Storage, Pub/Sub, IAM Management, and Data Studio Strong working knowledge of Python for pipeline development, automation, and tooling integration Hands ...

optimised queries. Experience building and maintaining data models using dbt or similar transformation tools. Experience working with modern cloud data platforms such as Snowflake, BigQuery, Azure Synapse or Databricks. Strong understanding of ELT processes and data modelling principles. Experience working with version control tools such as Git. Ability ...

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 ...

Python programming skills. Experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Experience working with cloud platforms, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Knowledge of CI/CD practices, change management, and environment controls across development, testing, and production. Experience creating ...

Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data warehouses and data platforms. Strong understanding of CI/CD, change management, and environment controls ...

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). ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

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). ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

building reliable, scalable data solutions. Youll bring: Strong experience with SQL (including optimisation) and Python for data engineering Hands-on experience working with GCP (BigQuery) and/or Microsoft Fabric (Synapse/OneLake) Experience building and managing data pipelines and workflow orchestration tools (e.g. Airflow, Data Factory) A solid ...

experience with programming languages like Python along with proficiency in SQL. Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc. Solid grasp of Kubernetes, CI/CD and Terraform. Working knowledge of ETL and ELT frameworks ...

months contract Hybrid role with the opportunity for the role to go permanent. What You'll Do: Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow; Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk ...

Maintain business level data model. \n Recommending and introducing new technology where needed. \n\n Core: \n \n Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) \n Data transformation technology such as DBT \n Visual Studio Code \n Python \n CI automation systems such as Jenkins \n A git-based ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

Experience in a Lead or Principal Data Engineering role. Strong cloud data platform expertise, including Google Cloud Platform (GCP). Hands-on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer. Advanced SQL and Python skills. Expertise in data lakes, data warehouses, and modern ...

modelling Familiarity with experimentation platforms or statistical packages CLOUD & DATA ECOSYSTEM Experience in modern cloud data environments (Google Cloud strongly preferred) Familiarity with BigQuery, Analytics Hub, dbt or ELT workflows Understanding of data lineage, quality frameworks, and schema design Comfort navigating multi-source datasets spanning operational, behavioural, and customer ...

Your Skills and Experience * Strong commercial experience in data analysis or business intelligence * Advanced SQL skills and experience with cloud data platforms such as BigQuery * Experience with GA4 and Google Tag Manager * Proven experience building dashboards using tools such as Looker Studio, Power BI or Tableau * Strong Excel ...

data processing Design and implement data models optimised for analytics workloads (e.g. star/snowflake schemas) Work with modern data warehouse platforms (e.g. Snowflake, BigQuery, Redshift or similar) Identify bottlenecks and implement improvements across storage, compute, and transformation layers Ensure efficient handling of large-scale datasets Lead work ...

Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation frameworks. Programming proficiency ...

years' commercial data engineering experience on a modern data stack. Strong SQL and hands-on experience with a modern cloud data warehouse (Snowflake preferred; BigQuery, Redshift, Synapse or Databricks considered). Hands-on dbt experience – building and testing models. Experience with an ELT tool such as Fivetran (or equivalent ...

sensible engineering decisions, and take accountability for how the platform works in practice. Experience you would bring includes: Cloud data platforms such as Snowflake, BigQuery, GCP/AWS or similar Data Warehouse and data platform architecture Dimensional data modelling RBAC, governance and data masking Monitoring, data quality and operational ...

testing, documentation and lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it Manage cloud data warehouses and lakehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks) Implement data quality, testing, monitoring and observability across pipelines and models Build streaming pipelines where the use case warrants it (Kafka … equivalent transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks) Cloud platform experience (AWS, GCP, Azure) Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches CI/ ...

BigQuery. Building and maintaining automated data pipelines for ingestion, transformation, and loading of regulatory data. Supporting the migration of legacy SQL Server solutions to BigQuery, working closely with seniors and technical leads on architecture and data modelling. Implementing data validation, monitoring, and alerting to ensure accuracy, consistency, and reliability ...

BigQuery. Building and maintaining automated data pipelines for ingestion, transformation, and loading of regulatory data. Supporting the migration of legacy SQL Server solutions to BigQuery, working closely with seniors and technical leads on architecture and data modelling. Implementing data validation, monitoring, and alerting to ensure accuracy, consistency, and reliability ...

BigQuery. Building and maintaining automated data pipelines for ingestion, transformation, and loading of regulatory data. Supporting the migration of legacy SQL Server solutions to BigQuery, working closely with seniors and technical leads on architecture and data modelling. Implementing data validation, monitoring, and alerting to ensure accuracy, consistency, and reliability ...