in cloud-based data platforms and infrastructure (e.g., AWS, GCP), ensuring scalability and security for large volumes of streaming and batch data. Had exposure to data warehouses such as BigQuery or Snowflake. Adept in Python and/or Java for developing data services and integrating APIs to bring in diverse sources of media data. Strong interpersonal and communication skills … and Infrastructure Building: Build and manage the infrastructure necessary for optimal ETL or ELT of data using Python, SQL, and Google Cloud Platform (GCP) big data technologies, such as BigQuery, Dataflow, Dataproc and Cloud Storage. Business Intelligence Enablement: Prepare and transform pipeline data to support downstream analytics and feed BI tools (DOMO), enabling data-driven decision-making across the … SQL and Database Expertise: Strong working knowledge of SQL with hands-on experience querying and managing relational databases, alongside familiarity with a variety of database technologies (e.g., PostgreSQL, MySQL, BigQuery). Big Data Engineering: Exposure to designing, building, and optimizing ‘big data’ pipelines, architectures, and datasets, enabling efficient data processing at scale. Analytical Problem Solving: Ideally has performed root More ❯
and loading processes for various data sources (e.g., databases, APIs, cloud storage). Ensure data quality, consistency, and security throughout the data pipeline. Leverage GCP services (e.g., Dataflow, Dataproc, BigQuery, Cloud Storage ) to build and maintain cloud-native data solutions. Implement infrastructure as code (IaC) principles using Terraform to automate provisioning and configuration. Manage and optimize cloud resources to … data engineering best practices and standards. Collaborate with cross-functional teams to deliver complex data projects. This role will be a great fit if: Expert in GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, and Cloud Functions. GCP Professional Data Engineer Certification is highly favourable. Advanced knowledge of SQL for complex data transformation and query More ❯
informed, data-led choices Ideal Candidate: Hands-on experience with GA4 and Google Tag Manager implementation Confident working with large datasets; experience with cloud-based analytics tools such as BigQuery is valuable Proven ability to deliver analytical solutions in ecommerce or retail-focused environments Comfortable presenting data findings to both technical and non-technical audiences Understands digital marketing performance More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Digital Gurus
informed, data-led choices Ideal Candidate: Hands-on experience with GA4 and Google Tag Manager implementation Confident working with large datasets; experience with cloud-based analytics tools such as BigQuery is valuable Proven ability to deliver analytical solutions in ecommerce or retail-focused environments Comfortable presenting data findings to both technical and non-technical audiences Understands digital marketing performance More ❯
teams Provide design support for our data models to answer multiple business needs through collaboration with data engineers Nice to haves Experience with Looker/ThoughtSpot Experience with GoogleBigQuery Experience with Mobile Measurement Platforms Why join Muzz? We're a profitable Consumer Tech startup, backed by Y Combinator (S17) and based in London . Join our fast growing More ❯
use of PubSub and Cloud Storage React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management 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. Sentry and Google Cloud Logging More ❯
use of PubSub and Cloud Storage React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management 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. Sentry and Google Cloud Logging More ❯
use of PubSub and Cloud Storage React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management 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. Sentry and Google Cloud Logging More ❯
Nice to have Experience supporting client projects in a research or consultancy context. Familiarity with survey methodology, MRP, or causal inference techniques. Experience working with cloud-based tools (e.g. BigQuery, GCP). Interest in public opinion, politics, or social science research. An eye for design and clarity in visualising data and outputs. Solid working knowledge of Python (e.g. pandas More ❯
data modelling standards and best practices Technology We're pragmatic about our technology choices. These are some of the things we use at the moment: Python, DBT, Tableau ️ PostgreSQL, BigQuery, MySQL pytest ️ AWS, GCP Docker, Terraform, GitHub, GIT How we expect you to work ️ Collaborate - We work in cross-functional, mission driven, autonomous squads that gel over time. We More ❯
dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯
fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Key Responsibilities: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯
fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Key Responsibilities: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯
dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯
dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯
Insurance knowledge is essential. Highly driven and customer-focused individual with up-to-date knowledge in the Data & Analytics sector. Advanced expertise in Cloud SQL, Informatica, Tableau, Google Products (BigQuery, Composer, Vertex AI), and APIs. Proficient in Medallion architecture, including design and delivery of its components with ACORD influenced standards. Knowledge in in-memory, appliances, event processing, cloud solutions More ❯
MarTech landscape and some tech stack management. Strong implementation and usability knowledge of Digital Analytics platforms (Amplitude, Mixpanel). Proficiency in SQL and marketing data platforms (Google Analytics 4, BigQuery). Hands-on experience managing cookie consent platforms (preferably OneTrust) and a thorough knowledge of privacy regulations (e.g., GDPR, CCPA). Experience working with CDPs , CRM, data visualization tools More ❯
we use ️ Programming languages: SQL, Python, LookML, (+ Go for other backend services) Development tools and frameworks: dbt, dagster, Airbyte, dlt, data-diff, Elementary Data lake and warehouse: GCS, BigQuery Analytics: Looker, Looker Studio and geospatial analytics tools How we reward our team Dynamic working environment with a diverse and driven team Huge opportunity for learning in a high More ❯
Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We leverage AWS S3, GCP BigQuery and ElasticSearch for data storage and search. We schedule our workloads on AWS EKS. Our infrastructure is spread across multiple regions and multiple cloud providers. We believe strongly in More ❯
results - perhaps through coursework, Kaggle competitions, or personal data projects You've shown initiative in teaching yourself new technical tools or concepts beyond what was required - such as exploring BigQuery, dbt, Airflow, Docker, or other data engineering technologies on your own time Progression This is an initial six-month engagement. If you perform well, the expectation is that you More ❯
AEs throughout the customer journey, delivering tailored demonstrations and customer POCs based on agreed-upon requirements. Develop deep technical domain expertise in Data Activation, CDP, data warehousing (e.g., Snowflake, BigQuery, Databricks), and integration platforms, with a focus on Enterprise use cases across various industries within EMEA, including financial services, retail, SaaS, and similar enterprises. Be accountable for the exceptional More ❯
on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio. You'll need: Proven experience in digital/product analytics - not marketing-focused Strong SQL & BigQuery skills GA4 (or Adobe Analytics) expertise Comfort working with GTM/implementation teams Some A/B testing exposure You'll report directly to the Analytics Lead, within a More ❯
on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio. You'll need: Proven experience in digital/product analytics - not marketing-focused Strong SQL & BigQuery skills GA4 (or Adobe Analytics) expertise Comfort working with GTM/implementation teams Some A/B testing exposure You'll report directly to the Analytics Lead, within a More ❯
in Excel At least 4 years experience in a Data Analysis position Knowledge and experience of SQL databases, writing SQL queries, and working with large data sets (preferably GoogleBigQuery) Experience working in an embedded operating model where analysts are partnered with business domains to deliver actionable insights (desirable) Knowledge and experience in presenting figures and trends from data More ❯
its data science ecosystem (e.g., pandas, scikit-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 afraid to challenge the status More ❯
