1 to 25 of 283 Permanent BigQuery Jobs in London

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 ...

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 ...

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 ...

maintaining data pipelines using SQL, Python, or similar technologies.Experience with modern cloud data platforms, ideally Snowflake, or alternatives such as Databricks, Redshift, Synapse, BigQuery, or Azure Data Lake.Experience developing cloud-based solutions, with AWS preferred, or equivalent experience in Azure or GCP.Familiarity with data transformation and ELT frameworks, ideally ...

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/ ...

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 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 ...

Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design ...

capability. We’re looking for: Significant experience designing and building modern cloud‐based data platforms. Strong hands‐on experience with Google Cloud Platform, particularly BigQuery and associated data services. Proven experience designing, developing and supporting enterprise data pipelines using ETL and ELT techniques. Strong SQL capability and experience working ...

language such as Python for API development, data engineering and automation tasks A background in working with storage solutions such as PostgreSQL, MySQL, and BigQuery Experience in API development using tools such as FastAPI or Flask , enabling data access and integration across systems Hands-on experience with ...

agentic frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake,BigQuery, Databricks, Fabric). Understanding the data structures and reporting capabilities within major marketing andmartechplatforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud). Ability ...

cycles through early delivery, iteration and thoughtful use of AI toolsNice to have, but not at all essentialWorking with modern data stacks, for example, BigQuery, AWS Redshift, dbt, Looker, Tableau, Lightdash, MCPWorking with events/web tracking tools (Segment/Google Analytics)Experience with marketing (AdWords, Paid Search, etc. ...

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 ...

stakeholders. Self-sufficient, with excellent problem-solving and communication skills. Advantageous : Experience with Logic Apps and integration tools. Familiarity with data frameworks (e.g., Snowflake, BigQuery, Redshift). Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure Code (e.g., Bicep, Terraform). Exposure to machine learning and AI solutions. ...

Workato or Langdock, and you are excited to do the same with Mistral's own models and tooling. Working experience with data warehousing (Snowflake, BigQuery) and the modern data stack (dbt or similar), and with visualisation tools such as Metabase, Looker, Tableau or Power BI. ...

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/ ...

maintain collections of sophisticated data pipelines, models and visualisations that integrate marketing and sales data with other internal and external data sources in Google BigQuery and Power BI to support Canon’s ITCG marketing, ecommerce and CRM team initiatives. Exploratory Analysis & Insights. Perform exploratory analysis using Python/ ...