1 to 25 of 56 BigQuery Jobs in the South West

between them. As part of the core responsibilities, you will design and maintain robust data warehouse and data lake architectures using platforms like Google BigQuery, AWS, and Azure. You will also develop and manage ETL processes to ensure data quality and consistency. You will optimise data storage and retrieval More ❯

Knowledge, skills and experience Essential: Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/ More ❯

and experience Essential: Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with More ❯

skills and experience Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with More ❯

Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling More ❯

Product Owner or Data Product Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong More ❯

is fit for purpose Experience that will put you ahead of the curve Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure SQL development skills Experience using Dataform or dbt Demonstrated strength in data More ❯

to inform product decisions. About You Experienced Product Owner with strong exposure to data products and platforms. Delivery experience with enterprise data warehouses (Snowflake, BigQuery), lakes, and CDPs. Understanding of data pipelines, contracts, lineage, APIs, and data governance frameworks. Comfortable navigating GDPR, CCPA and other compliance requirements. Familiar with More ❯

Extensive experience as a BI Developer/Analytics Engineer, specialising in Looker (dashboarding, advanced LookML). Strong SQL proficiency with cloud data warehouses (e.g., BigQuery ). Solid understanding of data warehousing and modelling. Proven background in marketing data and analytics (e.g., campaign performance, web analytics). Experience translating business More ❯

Extensive experience as a BI Developer/Analytics Engineer, specialising in Looker (dashboarding, advanced LookML). Strong SQL proficiency with cloud data warehouses (e.g., BigQuery ). Solid understanding of data warehousing and modelling. Proven background in marketing data and analytics (e.g., campaign performance, web analytics). Experience translating business More ❯

AWS, Azure, GCP), while also gaining opportunities to learn about and use data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. Responsibilities You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services More ❯

in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Knowledge of container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. Detailed understanding of automated CI More ❯

Ahrefs etc Good knowledge of commercial optimisation Desirable Qualities: Good knowledge of Python, data analytics libraries, REST/RESTful APIs, Google Cloud Platform (GCP), BigQuery, Relational databases is a plus Familiarity with current trends in Analytics, Ecommerce, AI Search, LLMs, Marketing would be desirable Consistent and a proactive contribution More ❯

supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams More ❯

supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams More ❯

supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams More ❯

support, motivate and coach team members Highly proficient with SQL, data modelling and ETL processes Proficient with the Google tech stack or similar i.e. BigQuery, Dataform, Looker/Looker (Data) Studio What's In It For You The expected range for this role is £48,000 - £65,000. This More ❯

management capabilities, encouraging cross-functional collaboration. Proficient in SQL, data modelling, and ETL processes. Proficiency with the Google Cloud Platform (GCP) data stack (e.g., BigQuery, Dataform, Looker/Looker Studio) or similar leading data platforms. What's in it for you The expected range for this role is up More ❯

on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex AI and BigQuery, Azure AI, or similar enterprise-level AI deployment environments. Experience or knowledge of regulatory requirements and frameworks relevant to AI, such as the EU More ❯

Experience working as a Data Insight Manager, Data Manager or similar Experience with Python and SQL Strong background working with Google’s data stack (BigQuery, Dataform, Looker Studio) A deep understanding of data science, data engineering, and analytics with hands-on experience working with real-world datasets Experience leading More ❯

Experience working as a Data Insight Manager, Data Manager or similar Experience with Python and SQL Strong background working with Google’s data stack (BigQuery, Dataform, Looker Studio) A deep understanding of data science, data engineering, and analytics with hands-on experience working with real-world datasets Experience leading More ❯

of these would be useful: Experience with data mesh concepts (e.g., domain-driven ownership, and data product thinking). Expertise in GCP services, including BigQuery, Data Fusion, Cloud Composer, IAM, and others. Ability to define objectives and measure metrics. Relevant certifications in software engineering, cloud platforms or related areas. More ❯

sectors. They are seeking a Managing Data Architect with 10+ years of experience in Data Engineering/Architecture, knowledgeable in: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience Their offers include: Free More ❯

of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯