1 to 25 of 45 Permanent BigQuery Jobs in London

data challenges 🛠 Technical Environment Core Expertise Advanced SQL & Python Deep DBT experience (modelling, testing, macros, documentation) Workflow orchestration (Dagster preferred) Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Data modelling for analytics and AI use cases API integrations and ingestion design patterns AI/ML Infrastructure Feature engineering architecture ...

computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering, Information Technology ...

/Polars or equivalent) and production‐quality code. Deep knowledge of SQL and experience with analytical or time‐series databases (e.g. Redshift, ClickHouse, Snowflake, BigQuery). Hands‐on experience with AWS (e.g. S3, Lambda, ECS/EKS, Redshift) and modern DevOps practices, including Docker and CI/CD. Proven ...

data solutions across data warehouses and Big Data Lakes, supporting both on-premise and cloud environments High proficiency with Google Cloud Platform services, including BigQuery, DataForm, DataProc, Cloud Composer and DataPlex, coupled with a solid understanding of cloud-native engineering best practices So, whats in it for you? Bonus ...

data solutions across data warehouses and Big Data Lakes, supporting both on-premise and cloud environments High proficiency with Google Cloud Platform services, including BigQuery, DataForm, DataProc, Cloud Composer and DataPlex, coupled with a solid understanding of cloud-native engineering best practices So, what ...

space to contribute in their own way. What we're looking for: Strong Python and SQL experience in production Experience with Spark, Snowflake, BigQuery or similar Cloud experience (AWS, GCP or Azure) Comfortable working with complex, messy data Experience owning pipelines end-to-end Collaborative mindset with mentoring experience ...

writing, reviewing, and optimising complex queries and DDL. Practical experience with at least one major cloud data platform (Azure Synapse/Fabric, Snowflake, Databricks, BigQuery, AWS Redshift) including cost and performance tuning. Desirable Experience Experience in energy trading, commodities, or financial services data environments (or Big Tech Familiarity with ...

/CD, automated testing, and comprehensive documentation. Your Tech Stack Language: Expert-level Python and advanced SQL . Cloud: Extensive experience with GCP (BigQuery, Cloud Storage, Dataflow/PubSub, Cloud Composer/Airflow). Tools: Experience with data orchestration tools and version control (Git). Environment: Proficiency in building ...

developing your consulting skills with full support from the team. Your Skills and Experience * Strong commercial experience working with SQL and cloud data warehousing (BigQuery or similar). * Hands-on experience with web analytics platforms such as GA4 or Adobe Analytics. * Understanding of tagging and implementation workflows ...

Experience in healthcare, fintech, or other regulated environments Exposure to LLM infrastructure, model serving, or agentic AI frameworks in production Familiarity with data platforms (BigQuery, Airflow, data pipelines) Experience with CI/CD pipelines (GitHub Actions, Cloud Build) and policy-as-code tools Exposure to observability stacks (OpenTelemetry, Prometheus ...

management solutions such as Google Tag Manager Experience with consent management platforms (e.g. OneTrust) Familiarity with cloud-based data platforms such as Google Cloud (BigQuery) or similar Strong understanding of ecommerce metrics, customer journeys, attribution and conversion optimisation Experience working with developers on tracking implementation and data layer design ...

Compute Engine. Experience with networking and security concepts including VPCs, IAM, Service Perimeters, and Security Command Centre. Knowledge of GCP data services such as BigQuery, Cloud SQL, Cloud Spanner, and Firestore. Experience with API management tools such as Apigee, API Gateway, or API Endpoints. Understanding of modern architectural patterns ...

technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise ...

position Expert-level Databricks, Azure and SQL/Python Proven track record of refactoring legacy estates onto modern platforms without breaking things GCP and BigQuery experience is a strong advantage High EQ, comfortable presenting to leadership and managing non-technical stakeholders A software engineering mindset, not a scripting ...

Strong experience (typically 5+ years) in data engineering roles Advanced skills in Python and SQL Hands-on experience with Databricks, Azure, and GCP/BigQuery Proven ability to work across both legacy systems and modern cloud environments Key Skills DevOps mindset you automate wherever possible and write clean, testable ...

Platform Deep expertise in Cloud Infrastructure, Data Engineering, or AI/ML Hands-on experience with services such as Compute Engine, GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Storage, Vertex AI Proven ability to produce architectural documentation and migration strategies Strong stakeholder engagement and consulting capability Experience working ...

functional teams including product, design, and data science to deliver innovative, customer-focused solutions. Work with modern technologies such as Python, Django, Cloud Firestore, BigQuery, and Elasticsearch to deliver scalable, reliable software. Contribute to continuous improvement by identifying opportunities to enhance system architecture and code quality. Participate in code ...

retrieval tools Role Requirements Background in Data/ML Engineering or Software Engineering with strong applied AI experience Deep expertise in GCP (Vertex AI, BigQuery, Cloud Run/Functions, ADK, Model Garden) Strong Python and API development experience Hands‐on with LLMs, embeddings, RAG, vector databases Proven track record ...

Kubernetes (GKE) Docker Terraform PHP (Symfony/Drupal) JavaScript Go Cloud SQL/MySQL Redis Nginx Cloud Load Balancing Varnish CDNs Cloudflare Bonus: GCP, BigQuery, Apigee, Vertex AI About You Proven leadership of Platform, DevOps, or SRE teams in high-volume e-commerce, travel, or fintech Deep Kubernetes ...

Kubernetes (GKE) · Docker · Terraform · PHP (Symfony/Drupal) · JavaScript · Go · Cloud SQL/MySQL · Redis · Nginx · Cloud Load Balancing · Varnish · CDNs · Cloudflare Bonus: GCP, BigQuery, Apigee, Vertex AI About You Proven leadership of Platform, DevOps, or SRE teams in high-volume e-commerce, travel, or fintech Deep Kubernetes ...

experience designing or embedding data governance frameworks. Hands-on experience with cloud-based governance tools and metadata-driven approaches. Good understanding of GCP (Dataplex, BigQuery) or similar platforms; Azure Purview exposure is a bonus. Familiarity with SQL and the impact of governance on engineering workflows Experience producing DPIAs, LIAs ...

Experience Essential Experience working with Google Cloud Platform (GCP) in a professional environment Exposure to GCP services such as Compute Engine, Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, or Vertex AI Experience supporting the implementation of cloud infrastructure or data platforms Understanding of Infrastructure-as-Code , ideally ...

Hands‐on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design. • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK. • Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like ...

delivery authority for UK clients, accountable for scope, quality, timelines, risk, and financials; Lead delivery across Google Cloud native platforms, including: Data & Analytics platforms, BigQuery, data pipelines, analytics layers AI & ML solutions (Vertex AI-based workloads, AI enabled data products) Drive Google Cloud delivery best practices, including secure ...

track record delivering AI at scale in regulated environments, with skills across the following areas: Deep expertise in Google Cloud AI stack (Vertex AI, BigQuery ML, Generative AI tools). Experience leading AI, ML, or data science functions within financial services or similarly regulated industries. Strong understanding of cloud ...