1 to 25 of 85 BigQuery Jobs in the UK excluding London

DevOps, integrating automated testing into a CI/CD pipeline using Jenkins or GitLab runner. Experience with either AWS, Azure OR GCP Cloud Good knowledge in GCP Storage Buckets, BigQuery, Dataflow and Cloud Functions (any Cloud). Hands-on experience with one or more programming languages (Java/JavaScript). Experience with non-functional testing using JMeter or similar More ❯

including APIs, databases, and flat files. Assist in the setup and optimisation of data infrastructure and storage solutions, such as data warehouses and data lakes, using platforms like Snowflake, BigQuery, or Azure Synapse. Help manage cloud-based infrastructure and services across AWS, Azure, or GCP environments. Learn to monitor data quality and integrity across systems and gain an understanding More ❯

industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU As much as we just love working with great, fun More ❯

for guidance. Strong SQL skills and understanding of data models and data principles. Experience with mobile-responsive dashboards and self-service analytics. Desirable Experience with cloud platforms (Snowflake, Azure, BigQuery). Python skills. Experience in agile delivery environments. Understanding of GDPR and data governance. BI tool certifications. The BI team has historically been highly technical; you will bring the More ❯

on cloud experience (AWS or GCP) with services for compute, data, and AI/ML. Proven skills in data engineering (ETL pipelines, APIs, SQL/NoSQL, data warehouses like BigQuery/Redshift). Experience with AI agents, LLMs and orchestration frameworks (LangChain, AutoGen, LlamaIndex, etc.). Demonstrated ability to ship production-ready internal tools or SaaS integrations. Strong problem More ❯

and problem-solving skills, with the ability to convert data into actionable insights. Proficiency in data visualization tools such as Power BI , or similar. Experience with Snowflake and GCP (BigQuery) or other cloud-based data warehousing technologies is highly desirable. Familiarity with Python is a plus. Working knowledge of Lead Scoring criteria, build and implementation is a plus Great More ❯

the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most of our backend infrastructure You should apply if: What More ❯

SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. More ❯

equivalent) - building models, tests, documentation, version control. Understanding of data warehousing concepts (star schemas, snowflake, slowly changing dimensions, partitioning, clustering). Experience working in a modern data stack (e.g. BigQuery, Snowflake, Redshift, Databricks, etc.) Comfortable working downstream (with BI/analytics users) and upstream (pipelines, ingestion) contexts. Familiarity with BI tools (we use Thoughtspot and Power BI). Proficient More ❯

Skills : Advanced hands-on experience with major cloud platforms (Azure, AWS, GCP), including cloud-native data services, orchestration, monitoring, and automation. Proven experience in GCP-based data platforms , including BigQuery, Dataflow, CloudSQL, Spanner, Pub Sub, Cloud composer and GKE. Data Engineering : Proficient in modern data tools and frameworks for building, operating, and optimising ETL/ELT pipelines, streaming data More ❯

Skills : Advanced hands-on experience with major cloud platforms (Azure, AWS, GCP), including cloud-native data services, orchestration, monitoring, and automation. Proven experience in GCP-based data platforms , including BigQuery, Dataflow, CloudSQL, Spanner, Pub Sub, Cloud composer and GKE. Data Engineering : Proficient in modern data tools and frameworks for building, operating, and optimising ETL/ELT pipelines, streaming data More ❯

technology solutions. Strong programming skills (JavaScript, TypeScript, Python, or similar). Experience with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with ETL/ELT processes and data visualisation tools (e.g. Looker Studio). Knowledge of AI integrations and agent More ❯

with openness to various data platforms including AWS, Azure, and Google Cloud. Strong knowledge of data services across multiple platforms (e.g., AWS S3, Redshift, Glue, Azure Blob Storage, Google BigQuery). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Experience designing and implementing modern data architectures. Proficiency with integration/orchestration tools (Airflow, dbt, Glue). Strong communication More ❯

investors and the Board Technology Background of the CTO: · Languages: Python, TypeScript/JavaScript (Node.js), Dart (Flutter), SQL/MySQL, JSON, REST, GraphQL · Cloud and Data: Google Cloud Platform (BigQuery, Cloud Run, Firestore, Pub/Sub) · DevOps and Tooling: GitHub, GitHub Actions, Terraform, Docker, Kubernetes · Monitoring: Stackdriver, Grafana, Prometheus · Security: OAuth2, SSO, IAM, ISO27001 alignment, penetration testing · Analytics and More ❯

solutions. Promote a culture of insight, simplicity, and innovation in data use. Skills & Experience Expert in Microsoft Power Platform; strong SQL skills. Experience with cloud analytics (e.g. Databricks, Snowflake, BigQuery). Skilled in automation, agile delivery, and stakeholder management. Strong understanding of data governance, CI/CD, and version control. Excellent data storytelling and visual communication skills. If you More ❯

particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version More ❯

testing , including JUnit . Mindset: Excellent communication skills and a commitment to continuous learning in a collaborative Agile environment. Good to Have: Experience with GCP Data Services such as BigQuery, Spanner, Cloud Composer, or Dataflow . Exposure to Generative AI tools like LangChain, LangGraph , or similar frameworks; an interest in agentic AI solutions is a plus. Skill Matrix: SkillHands More ❯

and lineage. Drive CI/CD practices using GitHub Actions or similar tools. Collaborate with cross-functional teams to improve platform capabilities and analytics maturity. Requirements: Proven experience in BigQuery and dbt/dataform for data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. More ❯

to define and implement data models and storage strategies. DATA ENGINEER - ESSENTIAL SKILLS: Proven experience as a Data Engineer, Data Developer, or similar role. Strong experience with GCP (e.g. BigQuery, Cloud Storage, Dataflow) and other cloud-based data solutions. Proficiency in Python for scripting and data transformation. Hands-on experience with PostgreSQL and MongoDB. Solid understanding of ETL/ More ❯

Kafka, Apache Spark, Apache Flink, object, relational and NoSQL data stores. Hands-on experience with big data application development and cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, GCP BigQuery) Expertise in building data architectures that support batch and streaming paradigms Experience with standards such as JSON, XML, YAML, Avro, Parquet Strong communication skills Open to learning new technologies More ❯

to deliver end-to-end data products. Mentor mid-level analysts and help strengthen capability across the Commercial Ops analytics team. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location: This is a hybrid role based in Nuneaton, with the requirement to be in the office at least two days per week. The Person What More ❯

with many but not necessarily all the following skills and experience: Strong Google Cloud Technical Knowledge: High level proficiency across a number of foundational Google Cloud Data services, including BigQuery, Dataplex, Dataproc, Cloud Composer, and Pub/Sub. Certification: Is a certified Google Cloud Professional Architect or holds a similar professional certification in a relevant Google Cloud subject area. More ❯

tooling to get bootstrapped quickly is a must: Frontend TypeScript + React - App Router with React Server Components Shadcn UI, Radix UI & Tailwind CSS - Utility-first CSS framework Data BigQuery - Cloud data warehouse Dataform - SQL transformation framework - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform More ❯

governance teams Essential Skills Strong, hands-on experience with Collibra development Proficiency in BPMN, Groovy, Java, REST APIs Solid SQL skills and experience with major databases (Oracle, PostgreSQL, DB2, BigQuery) Experience with ETL/ELT tools (e.g., Informatica, DataStage) and BI tools (Qlik, Power BI) Good understanding of metadata standards, lineage, reference data and business glossaries Exposure to cloud More ❯

and analysis. Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications More ❯