london, south east england, United Kingdom Hybrid / WFH Options
Loadsure
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 ❯
OPENMIND RESPONSIBILITIES: Performance: Build and maintain robust data pipelines to collect, transform, and load data from various sources into a centralized data warehouse (e.g., BigQuery). Implement and maintain data quality checks and monitoring systems to ensure data accuracy and reliability. Develop and maintain data models and schemas to … Strong understanding of data engineering principles and data warehousing concepts. Proven experience building and maintaining data pipelines using tools like Google Cloud Platform (e.g., BigQuery) or similar technologies. Experience with data integration platforms like Adverity, Funnel.io, or similar. Proficiency in SQL for data extraction, transformation, and loading (ETL) processes. More ❯
leeds, west yorkshire, yorkshire and the humber, United Kingdom
ThePlaceToBe
leading client facing meetings with key stakeholders. You’ll need to have used tools such as Google Analytics 4, Google Tag Manager, Looker Studio, BigQuery and PowerBI. Knowledge of channels such as CRO, PPC, SEO and Paid Social would be a bonus. This is one of many roles here 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 ❯
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 ❯
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 ❯
reporting structures to inform business decisions. n Strong understanding of digital data structures, reporting, and analytical techniques. n Proficiency in SQL, particularly within GoogleBigQuery environments, and extensive experience with Power BI. n Familiarity with digital products across web and app, and awareness of the digital marketing mix. n 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 ❯
data infrastructure & pipelines to the next level. Requirements Experience leading a team and hiring Data Engineers Experience with Cloud platforms such as Snowflake, Databricks, BigQuery, Redshift Strong experience with SQL and Python Exposure to AWS services Benefits: 25 days paid holiday Remote working with periodic London office visits Private More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Revolution Technology
data infrastructure & pipelines to the next level. Requirements Experience leading a team and hiring Data Engineers Experience with Cloud platforms such as Snowflake, Databricks, BigQuery, Redshift Strong experience with SQL and Python Exposure to AWS services Benefits: 25 days paid holiday Remote working with periodic London office visits Private 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 ❯
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 ❯
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 ❯
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 ❯
or analytics role, ideally in a telecommunications environment. Expert in Tableau. Strong SQL skills and experience working with cloud-based data platforms such as: BigQuery on GCP. Familiarity with DBT (Data Build Tools). Good understanding of customer and network data; knowledge of mobile network technologies (3G/4G More ❯
in B2B or event-related platforms Experience building AI-powered features or tools Opinions on UX, design, or architecture Familiarity with data tools like BigQuery or agent frameworks like LangGraph Interest in shaping engineering culture and ways of working Why this role? Work in a growing product company that More ❯
Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (Looking at going down Snowflake or BigQuery) Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more. Implement strong coding principles, including CI 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 ❯
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 ❯
