1 to 25 of 568 BigQuery Jobs in the UK

senior or lead capacity. Strong hands-on experience building and operating data platforms on GCP. Working experience with GCP data services such as BigQuery, Dataflow, Dataproc, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Bigtable, and Cloud SQL. Proficiency in Python and SQL, with experience in Spark or Apache ...

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 ...

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 ...

fabric). Hands-on experience with one or more cloud data ecosystems: Azure (Data Factory, Synapse, Fabric, ADLS, Databricks) AWS (Glue, Redshift, EMR) GCP (BigQuery, Dataflow) Databricks (Spark/PySpark) Snowflake (SQL, Snowpark, performance tuning) Strong SQL and/or Python capability, and familiarity with tools such ...

data and AI. What you'll do Design, build and operate scalable data pipelines, data models and end-to-end solution architectures on GCP (BigQuery, Python, dbt, Airflow, Dataform), balancing reliability, maintainability, performance and cost. Own technical delivery on your projects and accounts, from scoping to production: making ...

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 ...

dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing ...

reasoning critically about data behaviour over time and the downstream consequences of upstream design decisions. Modern Data Stack Experience with cloud data warehouses (e.g. BigQuery, Snowflake, Redshift, ADW), including performance, cost, and data layout considerations. Proficiency with data integration and orchestration tools (e.g. Fivetran, Airflow, managed ELT platforms ...

architecting and delivering enterprise data warehousing and lakehouse solutions on Snowflake, including migrations from legacy EDW (Teradata, Oracle, SQL Server, etc.) and modern platforms (BigQuery, Redshift, Synapse, etc.).Deep data modeling expertise (dimensional, Data Vault, 3NF) and semantic design, including Snowflake semantic views and Horizon Context.Strong ELT/ ...

market microstructure Experience with AI/ML platforms, feature stores, and MLOps frameworks Experience evaluating alternative analytical databases such as DuckDB, ClickHouse, Redshift, BigQuery, KDB+, or Apache Iceberg-based architectures Experience with data catalogue and governance platforms Exposure to modern visualisation and BI tools such as Power BI, Tableau ...

execution analytics, and market microstructureExperience with AI/ML platforms, feature stores, and MLOps frameworksExperience evaluating alternative analytical databases such as DuckDB, ClickHouse, Redshift, BigQuery, KDB+, or Apache Iceberg-based architecturesExperience with data catalogue and governance platformsExposure to modern visualisation and BI tools such as Power BI, Tableau, Sigma ...

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 ...

equivalent Experience building data pipelines in production Hands-on experience with a cloud platform (AWS, Azure or GCP) Experience with data warehousing (Snowflake, Redshift, BigQuery or Synapse) Understanding of data modelling and CI/CD Desirable Spark, Databricks or Kafka Orchestration tools such as Airflow or dbt Infrastructure ...

experience (AWS, Azure or GCP), including object storage, compute and managed data services. Strong experience with modern data warehousing/lakehouse tools (e.g., Snowflake, BigQuery, Redshift, Databricks).Hands-on orchestration experience (e.g., Airflow, Dagster, Prefect) and CI/CD for data pipelines. Experience with streaming and event-driven data ...

pipelines. Strong SQL and data modelling expertise. Experience working within AWS, Azure, or GCP environments. Exposure to modern data warehousing platforms such as Snowflake, BigQuery, or Redshift. Familiarity with orchestration tools including Airflow or Databricks Workflows. Excellent communication skills with the ability to engage technical and non-technical stakeholders. ...

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 ...

using modern frameworks (Spark, dbt, LangChain). A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.). Hands-on experience with MLOps/LLMOps principles, including CI/ ...

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 ...

testing, CI/CD, and observability, with a bias toward simple, maintainable solutions. Deep experience with a cloud lakehouse/data warehouse (Databricks, Snowflake, BigQuery, Redshift, EMR, or similar). Our stack is Databricks and Snowflake; strong equivalent experience elsewhere transfers. Experience with a workflow orchestrator (e.g. Airflow, Dagster ...

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 ...

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 ...

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 ...

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/ ...

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 ...