76 to 100 of 176 BigQuery Jobs in London

strong interpersonal and influencing skills Knowledge of data analysis would be beneficial, (e.g. SQL, Tableau, Looker), as well as knowledge of data tooling (e.g. BigQuery, Alation, DBT, Fivetran, Airflow) We're operating in a hybrid working model with a mix of office based and remote based work. The data More ❯

position, the following experience is required: Strong technical leadership (minimum of 2-3 years at Lead level) Experience across GCP and Google Suite (eg. BigQuery, Google Consul etc) Strong history of Data Engineering and Backend Development with Python Hands-on experience across SQL and other DB technologies This position More ❯

/Measurement role Hands-on experience of working with Onsite analytics platforms (Google Analytics), Container tag platforms (Google Tag Manager), Data warehousing platforms e.g. BigQuery and Python, SQL or R. Knowledge of privacy-first approaches and changes in tracking methodologies (e.g. cookie deprecation, server-side tracking). Experience of More ❯

would put you at the top of our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way process and we want you to More ❯

proposals. Skills & experience: 10+ years in digital marketing, with 5+ in analytics or measurement-focused roles Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R Deep understanding of attribution modelling, econometrics, and marketing mix analysis Knowledge of privacy-first tracking and evolving More ❯

proposals. Skills & experience: 10+ years in digital marketing, with 5+ in analytics or measurement-focused roles Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R Deep understanding of attribution modelling, econometrics, and marketing mix analysis Knowledge of privacy-first tracking and evolving More ❯

. Experience with recommendation systems, collaborative filtering, and ideally Graph Neural Networks (GNNs). Proficient with SQL and working with large datasets (e.g., GCP BigQuery). Experience with cloud platforms (specifically GCP) and CI/CD processes (specifically GitHub Actions). Experience deploying models in containerized applications. Excellent problem More ❯

clients are invoiced correctly. We are looking for someone who ideally has experience of working in a Data Team and is proficient with DBT, Bigquery and Looker. Key Responsibilities: Building new processes to map Data to billable events and KPIs, working with Data engineers to ensure this. Data Mapping More ❯

SQL, including querying, optimizing, and managing databases. Experience with data processing platforms such as Spark, Hadoop. Demonstrated experience with GCP services such as DataProc, BigQuery, GCS, IAM, and others, and/or their AWS equivalents. Work well as an individual and as part of a team that excels at More ❯

environment Enthusiastic about emerging technology and Insurtech Desirable; Experience with dbt Experience with version control software Experience within a modern cloud data warehouse, e.g. BigQuery, Snowflake, Databricks Experience working on data within Insurance and/or a B2B company About Us; We’ve combined groundbreaking AI and industry expertise More ❯

learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience. You're not More ❯

will lead and manage the successful delivery of engagements to drive customer adoption of Google Cloud services, like Google Compute Engine, Google Kubernetes Engine, BigQuery, Anthos, and our AI/Machine Learning capabilities. In this role, you will regularly engage with diverse stakeholder groups, including executives of large enterprises More ❯

confident in the tool as you’ll be acting as an SME on the tool for the entire business Strong use of SQL with BigQuery Data visualisation – can be any tool e.g. Power BI, Tableau, Looker etc Strong stakeholder engagement, confident, has provided insights and recommendations Curious and commercial More ❯

the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements Strong academic background in a relevant field More ❯

new technologies. Our Tech Stack TypeScript (Full-stack) React + Next.js, Tailwind, Prisma, tRPC PostgreSQL, MongoDB, Redis Serverless, AWS, Google Cloud, Github Actions DBT, BigQuery Terraform Python Minimum Requirements Strong Python experience in building scalable backend systems. Familiarity with API design & distributed systems architecture . Experience working with event More ❯

Paid channels (currently): Meta, Google, Cold Email, testing on Linkedin, TikTok. Lifecycle/CRM: Customer.io Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place. More ❯

You are passionate about Financial Crime and protecting Monzo and our customers. You have strong analytical skills and are comfortable with tools like spreadsheets, BigQuery and Looker. You are a problem solver who takes initiative to create high impact for stakeholders. Excel at stakeholder management and coordination across multiple More ❯

teams to address data quality and improve architecture. We’re looking for a Data Analyst with: Strong SQL skills and hands-on experience with BigQuery and Looker Studio. Advanced Excel skills including SUMIFS, COUNTIFS, INDEX-MATCH, arrays, and PivotTables. A good understanding of GCP architecture and cloud computing services. More ❯

Javascript/Typescript Extensive experience working with AWS or GCP (Security tools, containers, infrastructure) Experience with databases such as MySQL and NoSQL (MongoDB or BigQuery) Preferably prior experience working with core data libraries in R or Python Must have experience owning or leading a product development team. Desirable background More ❯

or IT consolidation programmes 💻 Tech Stack/Tooling Databricks , Spark, Delta Lake Terraform , GitHub/GitLab, Azure DevOps Cloud-native services: e.g. GCP (Dataflow, BigQuery), Azure, or AWS equivalents Jira, Confluence CI/CD and DevSecOps best practices 🎓 Certifications (Preferred) Databricks Certified Professional (Data or ML Engineer), ideally also More ❯

AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time zones More ❯

AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time zones More ❯

AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time zones More ❯

/fail result. Wire a Pub/Sub sink to integrate with the rest of the system, emitting ComplianceDecision events, and land these in BigQuery for analytics. Light-up observability – deploy OpenTelemetry traces + Grafana dashboards, and config alerts for latency, failure %, override rate. More ❯

points, and commercial KPIs (conversion, AOV, LTV, returns, etc). Experience working closely with data teams and familiarity with modern data stacks (e.g. GCP, BigQuery, dbt, Looker/Tableau, etc). Strong grasp of data modelling, data visualisation principles, and user behaviour analytics . Excellent prioritisation, roadmap planning, and More ❯