You will own the dbt project (models, tests, CI/CD) and work with BigQuery (or Snowflake/Redshift), advanced SQL, and a BI tool like Looker or Metabase. As an Analytics Engineer for a £100m+ D2C e-commerce brand, you'll transform raw data into trusted dashboards that drive marketing, finance, and operational decisions.

Build and maintain scalable data pipelines (BigQuery, Cloud Composer, Airflow, Dataflow, Spark, Flink, dbt) on GCP for AI/ML experiences. Use Docker/k8s, Terraform, SQL, shell scripting, and monitoring tools (Monte Carlo, Looker, NewRelic, Splunk). Collaborate with product engineering, data science, and business teams.

You will design, build, and maintain dbt models and work with SQL, Python, and BI tools like Looker or Mode. The company builds cross-border fintech for emerging markets, enabling money transfers and digital financial services.

John Lewis & Partners★3.8 (3k)· London

You will work with SQL, Python, R, Adobe Analytics, Contentsquare, Amplitude, Tableau, Looker, and Dovetail to generate digital trading insights. This individual-contributor role sits within the John Lewis & Partners retail business, where you will deliver commercial insights to senior stakeholders to improve P&L performance. No team size or scope is stated.

Lloyd's Register★3.7 (276)· London

The Senior Data and Insight Scientist uses SQL, Python, R, cloud platforms (GCP/BigQuery), dbt/Dataform, Git, and BI tools (Looker Studio, Tableau, Power BI) to lead analytics for the Lloyd’s Register Foundation, supporting the World Risk Poll and Global Safety Evidence Centre by transforming complex data into actionable safety insights.

You will work with SQL, Python, R, GCP/BigQuery, dbt/Dataform, Git/GitHub, BI tools (Looker Studio, Tableau, Power BI), and Shiny. The role provides analytical leadership for Lloyd’s Register Foundation’s evidence‑led safety mission, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre.

Lloyd's Register★3.7 (276)· London

You will work with SQL, Python, R, GCP/BigQuery, dbt or Dataform, Git/GitHub, and BI tools like Looker Studio, Tableau, or Power BI. You will provide analytical leadership across Lloyd’s Register Foundation, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre. In this senior individual contributor role, you will lead high-quality quantitative analysis and translate findings for non-technical audiences.

Zendesk★3.8 (81)· London

Senior Sales Engineers at Zendesk configure Agentic AI workflows using prompt engineering, Zendesk’s AI features, JavaScript, Python, Node.js, HTML/CSS, REST APIs, and webhooks. They lead technical deal cycles, execute technical discovery and POCs, and deploy reusable tools for enterprise and commercial accounts to prove the value of Zendesk’s CX/ES platform and autonomous agents. No team size is stated.

Work with Google Cloud Platform, BigQuery, SQL, Python, Looker, and Salesforce Marketing Cloud/CRM within a data & tech solutions team at the UK's largest independent media agency. You'll design scalable data pipelines, integrate marketing platform data, and build cloud-based solutions that power client reporting, campaign activation, and business insights.

You will work with SQL (ideally Google BigQuery) and dashboard tools like Looker or Tableau, plus machine-learning and rule-based fraud prevention tooling (e.g. Ravelin, Sift, Signifyd). As part of Spotify’s Revenue Protection Operations team, you will tackle payment fraud, chargebacks, creator onboarding and platform misuse to protect revenue and partner trust.

You'll work with SQL, Python, dbt, Snowflake, Lightdash/Looker, Streamlit, and AI/agentic automation. As part of the Regional Financials Marketing Analytics team at a global money-movement company, you'll build and automate the technical infrastructure that explains marketing growth drivers and identifies strategic opportunities.

Work with SQL, dbt, Snowflake, Airflow, Python, Git, Looker, AWS and AI tools. You'll build and automate regulatory reporting datasets, visualisations and data quality controls for Wise's global compliance obligations, enabling the company to obtain and retain operating licenses across jurisdictions.

Minute Media★4.2 (18)· London

You will work with SQL, Looker Studio, and cloud data warehouse tools to build dashboards, pipelines, and predictive models. You will support LTV & subscription analytics for Minute Media’s content brands like Sports Illustrated, analyzing subscriber behavior and churn to drive retention strategies.

WPP Media★4.0 (1)· London

You will work with Python, SQL, Google Cloud Platform, APIs (Google Ads, DV360, CM360, BigQuery), and prototyping frameworks like Streamlit. As part of the Global Automation Squad within WPP Media's MFG Core Solution, you will identify bottlenecks, rethink processes, and rapidly build Proof of Concepts to automate workflows.

You'll work primarily with SQL, Looker, and modern data stack tools like BigQuery or Snowflake (with dbt experience beneficial) to analyze operational and clinical data for VOY, a fast-growing healthtech platform serving over 1 million members across weight loss, menopause, hair loss and other conditions. You'll build dashboards, conduct ad-hoc analyses for cross-functional stakeholders, and help drive data-informed decision-making across operations, finance, clinical and program delivery teams. The role requires 2–4 years of analytics experience and is hybrid, three days weekly in-office.

You'll work with SQL, Python, R, dbt, Hex/Looker, Statsig/Eppo, and Amplitude/Mixpanel. Embedded in a small, fast-moving team building a new AI-native product inside Goodnotes, you'll define success metrics, build experimentation practice, and enable self-serve analytics.

You'll work with Python, and optionally Neo4j, PostgreSQL/BigQuery, and BI tools like Looker, Tableau or Power BI. You'll join a small team building data tools to support open-source intelligence (OSINT) investigations, translating complex data into actionable insight for researchers.

Wise★3.5 (42)· London

You’ll work with dbt, Airflow, Snowflake, Python, and Looker/Superset. As a Data Engineer in the KYC & Onboarding area, you’ll own the data infrastructure, analytics pipelines, and modelling frameworks that detect and prevent financial crime through customer onboarding.

You will use SQL, Python, BI tools (Looker, Mode, Tableau), dbt, and Airflow for deep-dive analysis, A/B testing, and user-segmentation models. As part of a cross-functional squad with product, design, and engineering, you will drive product strategy and define KPIs for Cleo’s fintech app. You will sit within a data science team of 80.

Design, develop, and optimize data pipelines using SQL, Python, Scala, Java, or Spark, along with ETL/ELT tools like Azure Data Factory, AWS Glue, and Apache Airflow, on cloud platforms such as Azure, AWS, or GCP. You will work with databases (SQL Server, Snowflake, MongoDB), big data technologies (Spark, Kafka, Databricks), and orchestration tools to build scalable cloud-based data platforms supporting enterprise analytics and machine learning.

World of Books★2.9 (126)· London

You will work with SQL (Google Cloud), Python or R (Vertex AI), and Tableau/Power BI/Looker. As a Pricing Analyst on the cross-company Pricing Squad, you will enable World of Books’ pricing strategy across buying and selling by building datasets, developing reporting, running analyses, and leading trials.

Work with XGBoost, Random Forests, LSTM, transformers, LLMs, Python, R, SQL, Azure, Git, PowerBI, and Looker. You will drive business outcomes by applying AI/ML to solve problems in NLP, computer vision, and recommender systems for a global academic publisher.

You'll sell Omni's AI analytics platform—built on a semantic model with a governed context graph—integrating with tools like Claude, ChatGPT, Cursor, and Slack. The role drives the full sales cycle for mid-market (100–500 employees) in the DACH region, using MEDDPICC and 3 Whys frameworks.

Sage★3.5 (901)· London

You will apply Python, R, SQL, XGBoost, Random Forests, LSTM, transformers, and Azure services to solve problems in NLP, computer vision, and recommender systems. The team builds AI/ML models to drive commercial impact for Sage, a global academic publisher of books, journals, and library resources.

Design, build and optimize scalable data pipelines, ETL/ELT processes, and cloud-native data platforms using Microsoft Azure, AWS, or GCP, with tools like Apache Airflow, Azure Data Factory, or AWS Glue, and big data technologies including Apache Spark and Databricks. This London-based senior role partners with data scientists, analytics, and software engineering teams to support enterprise reporting, analytics, and machine learning initiatives.