Computer Science, Engineering, or a related field. Technical skills: Advanced proficiency in SQL and Python for data manipulation and analysis Experience in Google data infrastructure, including DataPlex, DataCatalog and BigQuery Experience in Google data processing, including DataStream, DataFlow, Cloud Composer Experience building and maintaining data transformation layers using dbt. Strong experience with data visualization tools, (e.g. Looker) Experience with More ❯
familiar with the existing Analytics toolset to utilize on client business, including data visualisation technologies (Power BI, Tableau, Datorama), reporting tools (Microsoft Excel, Looker Studio), data warehouse tools (GoogleBigQuery), measurement platforms (Google Campaign Manager and Google Analytics) and Effectiveness partners (both within WPP and externally) Develop effective partnerships with key stakeholders within clients, Wavemaker, WPP and other specialist More ❯
presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯
presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯
requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar GoogleBigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 6 years+ experience as a Data Engineer solving complex and scaled data challenges More ❯
by enabling us to understand our customers better, harnessing data and discovering insight across all our touch-points, campaigns and marketing activity. Using Tools And Databases Including Google Sheets, BigQuery (SQL), Tableau, And Python You'll Tackle Intriguing And Exciting Problems That We're Only Just Starting To Understand, In Order To Deepen our understanding of CRM programmes and More ❯
of utilising credit scoring concepts e.g. model development, credit strategy design, retrospective appends, etc. Time spent in a credit reference agency Exposure to analytical tools such as Python and BigQuery Experience of the UK Banking and Financial Services sector More ❯
least one back-end programming language (preferably Java, C++, or Python). Proficiency in Javascript and Web fundamentals. Experience in Cloud/Distributed development (e.g., AWS, GCE, GCP, BigTable, BigQuery etc.). Strong technical and problem-solving skills, the ability to understand and troubleshoot systems and application flows, dive deep into complex problems & find their root cause. Enjoy working More ❯
tooling. Background in agentic systems, reasoning pipelines, or semantic/ontology-based architectures. Familiarity with knowledge graphs, schema reconciliation, or semantic modeling. Experience across modern data infrastructure (e.g., dbt, BigQuery, Airflow) and cloud environments (AWS/GCP). Prior startup or early-stage experience; strong preference for candidates who have built AI or data infrastructure at scale. A builder More ❯
and 3 analytics engineers, you will turn CRM, finance and marketing data into decision-grade insights that move revenue, retention and unit economics metrics. Design & own core datasets (dbt → BigQuery). Author and maintain dbt models, tests, docs and macros that produce production tables for accounts, opportunities, bookings, revenue recognition, customer events and marketing touchpoints. Commercial performance & forecasting. Lead … on turning complex commercial problems into reliable data products. Extensive experience in an analytical role supporting Sales, Finance, Marketing or GTM teams. Ideally in a B2B SaaS environment dbt & BigQuery: commercial experience developing DBT models on top of a modern data warehouse such as BigQuery or Snowflake Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. More ❯
and 3 analytics engineers, you will turn CRM, finance and marketing data into decision-grade insights that move revenue, retention and unit economics metrics. Design & own core datasets (dbt → BigQuery). Author and maintain dbt models, tests, docs and macros that produce production tables for accounts, opportunities, bookings, revenue recognition, customer events and marketing touchpoints. Commercial performance & forecasting. Lead … on turning complex commercial problems into reliable data products. Extensive experience in an analytical role supporting Sales, Finance, Marketing or GTM teams. Ideally in a B2B SaaS environment dbt & BigQuery: commercial experience developing DBT models on top of a modern data warehouse such as BigQuery or Snowflake Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. More ❯
Responsibilities Run stand-ups, sprint ceremonies, and delivery rhythms, ensuring the team stays aligned and works effectively toward all our data initiatives. Build, maintain, and evolve our Datastream + BigQuery + dbt data platform with high reliability and scalability. Develop clean, well-tested data models that support analytics, experimentation, and operational use cases. Become the subject-matter expert on … reliability, governance, cost optimisation, and scalability. Identify opportunities to integrate AI, automation, and modern data tooling. Requirements Advanced ~8-10 years of hands-on data experience with dbt and BigQuery in production environments. Strong SQL and proficiency in Python, or R. Experience building and operating data platforms in e-commerce or fast-growing product companies. Deep data modelling expertise More ❯
