1 to 25 of 462 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 ...

Airflow, DBT, Fivetran, Matillion, or equivalent. Databases: Solid understanding of relational databases (e.g., PostgreSQL, MySQL) and experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Synapse). Data Modeling: Knowledge of data modeling principles (e.g., star schema, snowflake schema, normalization). Programming: Proficiency in Python and/ ...

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/ ...

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 ...

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 ...

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 ...

another relevant programming language. Experience with modern data engineering tools, such as dbt, Airflow or Spark. Experience with cloud data warehouses, such as Snowflake, BigQuery or Amazon Redshift. A solid understanding of data modelling, ETL/ELT and data quality. Knowledge of data governance, security and privacy. Confidence taking ...

model versioning, deployment and monitoring Containers and infrastructure as code (e.g. Docker, Kubernetes, Terraform) Experience with modern data warehouses or lakehouses (e.g. Snowflake, Databricks, BigQuery) The kind of person who thrives here We care more about range and attitude than ticking every box. You'll do well in this ...

other DevOps practices such as IaC Testing Additional experience with the following would be beneficial but not essential: Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) Relational, NoSQL, graph and vector databases Streaming technologies (Kafka, Kinesis, Flink, etc.) Containers and related services (Docker, Kubernetes, container Registries, etc) Data modelling approaches ...

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 ...

pipelines and data warehouses. Management experience of data teams Deep expertise in the modern data stack : dbt, Airflow, Terraform, and cloud data platforms (GCP BigQuery, Snowflake). Strong architectural skills with a deep understanding of data modeling, quality, and governance. Proficiency in SQL, Python , and modern engineering workflows ...

integration 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/ ...

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 ...

workflows. Required Skills Commercial experience in a Data Engineering or Data Developer role. Strong SQL and Python programming skills. Hands-on experience with Google BigQuery and Google Cloud Platform. Experience implementing cloud-based data solutions. Experience integrating Salesforce Marketing Cloud and Salesforce CRM data. Understanding of marketing platforms, campaign ...

expect candidates to have worked with all of them: Cloud data platforms, warehouses and lakehouses: Databricks, Snowflake, Microsoft Fabric, Azure Synapse, Google BigQuery, Amazon Redshift Data engineering and orchestration: Spark, dbt, Airflow, Azure Data Factory, AWS Glue, Dataflow, Kafka, Flink Governance, catalogue and lineage: Microsoft Purview, Collibra, Informatica, Alation ...

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/ ...

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 ...

replication and disaster recovery. Strong knowledge of Azure and/or Google Cloud Platform services across data, storage, networking, security and monitoring. Experience with BigQuery, Databricks, Synapse, Redshift or similar platforms is highly desirable. Expertise in scalable enterprise ELT/ETL, data integration, real-time and batch processing, event ...

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 ...

pipelines Strong data modelling skills (dimensional and/or lakehouse) Production experience with at least one modern cloud data platform (Snowflake or Databricks ideal; BigQuery or Synapse also welcome) Experience integrating data from multiple heterogeneous sources Experience owning or influencing architectural and tooling decisions, and the ability to explain ...

Azure). Strong SQL and Python skills, with deep experience in modern data stack tooling (e.g., dbt, Airflow or Dagster, Spark, Snowflake, BigQuery, Databricks). Experience designing lakehouse architectures and ELT-based transformation workflows. Practical experience implementing data governance, lineage, quality, and observability frameworks. Familiar with CI/ ...

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 ...

engineering practices Platform engineering Site Reliability Engineering principles Data & Analytics Experience with technologies such as: Databricks Microsoft Fabric Azure Data Factory Synapse Analytics Snowflake BigQuery Redshift Kafka Apache Spark Knowledge of: Data modelling Data governance Data integration Data migration Data warehousing Master Data Management Applications & Integration Experience designing solutions ...

controlled Valuable Extras Analytics engineering practice: Dagster, version control, CI/CD, and automated testing Experience with cloud data platforms, such as Snowflake or BigQuery Group Personal Pension Plan – 8% employer contribution and 4% employee contribution Life Assurance and Group Income Protection Private Medical Insurance – Provided by Bupa ...