1 to 25 of 59 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 ...

Engineer, or BI Engineer, ideally with exposure to People Analytics or similar domains. Deep expertise with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar. Experience integrating data from HRIS ...

Python, Scala, and SQL. Extensive experience in data modelling and ELT/ETL processes. Strong hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, Composer, and Cloud Run/App Engine. Familiarity with CI/CD & DevOps practices, including automated testing and infrastructure as code. ...

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 ...

Python & SQL skills Experience with Airflow, Dagster, or similar orchestration tools Cloud experience (GCP) Strong understanding of data modelling & ETL/ELT GCP stack (BigQuery, Composer, Dataproc, etc.) Data governance & DataOps experience CI/CD or Terraform knowledge ...

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 ...

tools or reporting platforms. Experience designing analytics-ready datasets rather than ingestion pipelines. Strong experience with cloud data warehouse platforms (preferably Google BigQuery/GCP). Strong data analysis and data profiling capability with the ability to interpret complex datasets. Experience implementing analytical modelling approaches such as star schemas ...

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 ...

tools or reporting platforms. * Experience designing analytics-ready datasets rather than ingestion pipelines. * Strong experience with cloud data warehouse platforms (preferably Google BigQuery/GCP). * Strong data analysis and data profiling capability with the ability to interpret complex datasets. * Experience implementing analytical modelling approaches such as star schemas ...

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 ...

with transformation frameworks (SQLMesh, dbt, or similar) Solid understanding of data modelling principles and trade-offs Experience building models in cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Ability to design intuitive, business-friendly datasets Understanding of data architecture and how layers fit together Curious, pragmatic, collaborative - comfortable working ...

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 ...