1 to 25 of 41 Remote BigQuery Jobs in Berkshire

of experience working in a similar role. Strong Python development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other More ❯

or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and More ❯

is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities: Design More ❯

with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated More ❯

media landscapes. Strong track record of managing client or stakeholder relationships. Able to explain technical concepts in simple, business-friendly language. Skilled in SQL, BigQuery or similar, with Python or JavaScript as a plus. Experience applying statistical techniques to business problems Degree (or equivalent) in a statistics-based subject More ❯

workflows and platforms Key Responsibilities Design, develop, and maintain scalable data pipelines on GCP (Or other cloud services ie. Snowflake) using services such as BigQuery and Cloud Functions. Designing and building data models for analytics, reporting, and data science applications in Looker/Metabase(Visualisation solutions) using (explores, views … etc) which will enable users across the organization to self-serve analytics. Strong Python (Pandas/SQL Alchemy) & SQL(BigQuery/Snowflake) skills for maintaining ETL/ELT pipelines. Developing tools and processes to ensure the quality and observability of data Monitoring and improving the performance and efficiency of More ❯

The tech stack includes: Infrastructure: Google Cloud Backend: Python for internal API codebase, running on a Postgres database hosted with Google Cloud SQL Data: BigQuery, DBT, and Tableau Frontend: Typescript and React Mobile/Apps: Flutter What’s on Offer Generous time off. Equity package. Comprehensive health coverage. Pension More ❯

data architecture and processes to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or 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 ❯

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 ❯

accuracy (BLEU/ROUGE, human‐in‐the‐loop, automatic hallucination checks). Deploy & monitor services on GCP (Cloud Run, Vertex AI, Pub/Sub, BigQuery) with Terraform, CI/CD, logging, metrics, and alerting. Collaborate closely with product, mobile, and medical SME teams to refine requirements and ship weekly More ❯

candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯

key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯

with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free Certification More ❯

with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free Certification 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 ❯

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 ❯

About FairPlay Sports Media: We’re a sports media network focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯

high-performance, stable, and secure software. HTML/CSS , JavaScript , and TypeScript . Relational databases such as MySQL , and NoSQL environments like MongoDB or BigQuery . Cloud platforms ( GCP or AWS preferred). Experience with additional backend technologies (e.g., Python , MongoDB , Redis , Docker , OCI ) is a plus. Experience in More ❯

ll fit right in. ML Tech Stack Backend: Python, FastAPI - Model Serving: vLLM, LitServe - Model Development: PyTorch,Transformers, Diffusers - Agent Development: PydanticAI - Cloud: AWS, BigQuery We’re looking for engineers that want to get involved in building and optimising ML models (PyTorch, Transformers, Diffusers) and Developing FastAPI backend services More ❯

software engineering/information technology. Tech-savvy : Proficiency in modern data technologies (e.g., cloud platforms, big data ecosystems, AI frameworks such as Databricks, Snowflake, BigQuery, Microsoft Fabric or similar. All-rounder : Strong knowledge of key CDO/CAIO areas such as AI/Data Governance/Quality/Management More ❯

. - Implement best practices for cloud security, cost optimization, monitoring, and alerting. - Support the deployment and maintenance of modern data stacks (e.g., Snowflake, Databricks, BigQuery, Redshift). - Design and enforce networking, identity access, and compliance standards aligned with client requirements. - Write documentation, runbooks, and client-facing reports to support More ❯

environments Authentication upgrade: Migrate from custom auth to Auth0 (or similar), with social login + MFA Data governance: Apply labelling to Postgres, S3 and BigQuery data Web security hardening: Audit React, GraphQL and FastAPI layers to eliminate XSS/CSRF and strengthen CSP Static analysis remediation: Triage and address More ❯