1 to 25 of 29 Permanent BigQuery Jobs in Central London

environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience working with financial data, regulatory reporting ...

best practices and capability development. Supporting innovation and the adoption of new technologies across projects. Your Skills & Experience Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker. Experience delivering analytics, business intelligence, or data engineering projects in a consulting environment. Advanced SQL, data modelling, cloud data warehousing ...

build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift). Additional Programming: Knowledge of C# and experience working within a .NET environment. AI Tooling: Experiencing utilising AI-assisted development tools, such as Github ...

work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater value to clients. Champion engineering excellence – Develop high-quality, well-tested solutions using modern software engineering ...

teams. Good understanding of conversion optimisation and digital customer journeys. Looker Studio experience would be beneficial. Power BI is also relevant. SQL/BigQuery is a nice-to-have rather than essential. Experience with app analytics or digital product analytics would be advantageous. Experience with Mixpanel would be useful. ...

explainable AI" requirements in banking. Experience with data modeling of relational, NoSQL, and analytical data modeling (Star Schema, Data Vault, etc.). Experience in BigQuery, Vertex AI, Dataflow, and Pub/Sub with an ability to drive the discovery phase, moving from a vague business problem to a structured ...

candidate will demonstrate expert proficiency in Google Cloud Platform’s (GCP) latest ML/AI tooling, including, but not limited to: Vertex AI BigQuery Gemini APIs The candidate will also work closely with our Lead Data Scientist in developing and maintaining the team’s API service which delivers real ...

tech media planning and activation solutions.You will need to be familiar with howAPIs are configured. You will need to have strong experience with usingGoogle BigQuery, and working with the widerGoogle Marketing Platform stack, including familiarity with Google Analytics data, and will have experience integrating other 3rd party technologies ...

both digital and physical/store channels Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial Experience with Databricks, Snowflake, BigQuery or similar cloud data platforms would be advantageous Python would be a plus The successful candidate will be a commercially minded Marketing Analytics professional ...

Open SDK, APIs, and custom app development Data & Cloud SQL/NoSQL databases — Snowflake Cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data lineage concepts Security & Privacy SIEM/DLP tools integration (Splunk, Microsoft Purview) Identity & Access ...

organisation. Cloud experience on AWS and/or GCP, with AWS preferred. Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud Run, or Pub/Sub. Experience with AI/ML observability and evaluation tools such as MLflow, LangSmith, LLM-as-a-Judge ...

processing workflows in production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete ...

Azure Data Support Engineer Location: Newcastle or London preferred. Job Type: Full-time | Permanent (On-Call Requirement) Security Clearance Requirement: This role is suitable for candidates who already hold UK Government Security Clearance (SC), or ...

Menzies LLP is seeking a Senior Data Engineer to lead the development and operation of our GCP data warehouse. You will design scalable data pipelines and champion best practices across data modelling, testing and governance. ...

architectures Experience of real-time, low-latency transaction-based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within ...

plus, as is data enrichment, though fresh thinking on both counts matters just as much as direct experience. Cloud data warehouse experience such as BigQuery or Azure is useful but not essential. And the good stuff! 🎯 10% discretionary bonus + annual pay reviews 🌍 Up to 22 "work from anywhere ...

Snowflake, Databricks or similar technologies would be advantageous. Data Platform Fluency: You have a solid understanding of modern Data Platforms (such as Snowflake, Databricks, BigQuery, or Redshift) and the process of transforming raw data into a usable asset. Your Background: We value curiosity, adaptability and a customer-first mindset ...

variety of methods such as documents, diagrams, prototypes, story mapping, user stories and use cases. Produce ad-hoc reports from data held in BigQuery and Splunk. Key qualifications Produce dashboards in Data Studio (previously Looker Studio) to help monitor identity metadata Experience of working within an agile project team ...

technical experience , including GA4 and/or Firebase (for app analytics), SQL (working with large-scale data environments), and large-scale data platforms (e.g. BigQuery, Teradata, Databricks); nice-to-have experience with customer segmentation and personalisation frameworks, Python or similar tools for advanced analysis or experimentation, and working ...

scalability, security, and operational excellence. Data Engineering & Persistence Design and optimise data models for both relational and NoSQL databases. Work with: PostgreSQL MongoDB BigQuery Redis (desirable) Ensure performance, resilience, and data integrity across services. Implement efficient querying, indexing, and transactional processing. Engineering Excellence Promote agile and DevSecOps practices. Support ...

Translates Vertex AI (GCP) or Amazon Bedrock/SageMaker (AWS) features into monetizable, agentic solutions that solve complex business frictions. Distributed-Data Fluent: Designs BigQuery (GCP) or Redshift (AWS) pipelines alongside integrated AI models to surface real-time, "intelligent" client outcomes. Marketplace Strategist: Expert in complex Marketplace transactions, including ...

Group is seeking a Principal Data Engineer to own the technical architecture of its GCP data platform, including BigQuery and Kafka-based ingestion, across London. You will lead delivery of complex, high-risk work in the GCP consolidation programme and define platform contracts and self-service patterns to empower ...

teams across the business. What you’ll do Own the technical architecture of IG’s GCP data platform end-to-end — Core Lake (BigQuery), batch and real-time (Kafka) ingestion, transformation in the Medallion architecture, and Data-Engineering-owned integration services — setting the reference designs and patterns squads build … Data Engineering and CDO. What you’ll need for this role Hands-on experience designing and operating large-scale data pipelines on GCP (BigQuery, Cloud Composer/Airflow, GCS), with proven knowledge of Apache Kafka and real-time streaming architectures Demonstrated experience leading or technically mentoring a team ...

reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands … trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands ...

data strategy and deliver real business impact. The Role Build and maintain end-to-end data pipelines Develop scalable data models using dbt and BigQuery Create Python-based ingestion and automation processes Build dashboards and reporting solutions for business stakeholders Partner with product, engineering, marketing, and commercial teams Improve … quality, performance, and scalability across the platform Your Skills & Experience Strong experience in Analytics Engineering or Data Engineering Hands-on experience with GCP, particularly BigQuery Strong dbt, SQL, and Python skills Experience building BI dashboards and reporting solutions Familiarity with Git and modern development practices Strong communication and stakeholder ...