21 of 21 BigQuery Jobs in the South East

data quality teams What we're looking for 6–8+ years' experience in data engineering, including technical leadership Strong experience with Snowflake, Redshift or BigQuery (Snowflake preferred) Hands-on AWS experience, including S3, Lambda, Kinesis, SQS or Firehose Experience with dbt, Python or Node.js Advanced SQL and data modelling ...

Image Processing experience Exposure to Machine Learning platforms and infrastructure Experience working with image datasets at scale PyTorch, OpenCV, NumPy or related technologies BigQuery and wider GCP ecosystem experience Familiarity with AI-assisted development tools such as Cursor, Claude Code or GitHub Copilot Nice to Have Medical imaging experience ...

waiting for a brief. Experience within a subscription, e-commerce, consumer technology or direct-to-consumer business would be particularly advantageous. Familiarity with dbt, BigQuery, Looker, Google Analytics, attribution modelling or marketing mix modelling would also be beneficial. The Benefits £70,000-£80,000 How to Apply Please register ...

advertising or media sectors is highly desirable Strong communication skills and ability to engage with stakeholders Experience with Snowflake, Microsoft Fabric and/or BigQuery is highly desirable SALARY AND BENEFITS Up to £50,000 base salary Contributory pension scheme HOW TO APPLY Please register your interest ...

production-grade data pipelines and data platforms Knowledge of Python, APIs, and Git Experience working with cloud platforms such as AWS, Azure, Databricks, or BigQuery Strong data modelling and warehousing expertise Ability to communicate technical concepts to both technical and non-technical stakeholders Experience leading projects, workstreams, or technical ...

lead level, with strong SQL skills and a solid track record of building well-structured analytical models Experience with cloud data warehousing (Snowflake, BigQuery, or equivalent), a strong grasp of data governance and platform security, and the ability to lead technically and mentor others within a growing engineering function ...

lead level, with strong SQL skills and a solid track record of building well-structured analytical models Experience with cloud data warehousing (Snowflake, BigQuery, or equivalent), a strong grasp of data governance and platform security, and the ability to lead technically and mentor others within a growing engineering function ...

have: Strong hands-on experience as a Data Engineer within GCP. Experience building production-grade data pipelines and platforms. Expertise with technologies such as BigQuery, Dataflow, Cloud Composer/Airflow, Pub/Sub and Cloud Storage. Strong SQL and data engineering fundamentals. An engineering mindset and a passion ...

experience, and a proven track record of designing and operating enterprise-scale data platforms. Strong experience across cloud data architecture, Snowflake/Databricks/BigQuery, SQL, Python, data modelling and modern data engineering practices is essential. Experience across AI/ML, knowledge graphs, unstructured data, SaaS or customer-facing ...

performance, latency and inference-cost optimisation Scalable cloud-based AI deployment Experience with technologies such as LangGraph, LangChain, LlamaIndex, AutoGen, Google Vertex AI, Gemini, BigQuery, Qdrant, ChromaDB, Pinecone, Weaviate or Milvus would be valuable. Network Programmability Hands-on network programmability experience is not essential , but you should understand ...

ability to turn data into meaningful business recommendations. Naturally curious, commercially minded and keen to move closer to Product Analytics. Experience with BigQuery, GCP, Snowflake, GA4 or other cloud data platforms and digital analytics tools would be advantageous. Exposure to A/B testing and product experimentation is also ...

influence stakeholders through data-driven recommendations. Experience with a cloud data warehouse is beneficial, although you don't need to have worked with BigQuery specifically The key requirement is a genuine Product Analytics background combined with strong experimentation expertise and SQL skills. Candidates with experience primarily in customer ...

major clouds, with native services such as S3, Glue, Redshift and Kinesis on AWS, Data Factory, Synapse and Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running on top of any of the three Spark and distributed processing frameworks for large ...

Experience implementing SCIM provisioning. Familiarity with Active Directory, Microsoft Entra ID and Google Workspace. Practical PowerShell scripting and Terraform experience. Experience building dashboards using BigQuery, Looker Studio or comparable data visualisation tools. Proficiency with Google Sheets. Understanding of DNS, SSL certificates and Okta security best practices. Strong troubleshooting, documentation ...

maintain end-to-end data pipelines from source systems through to analytics-ready datasets Develop scalable and well-documented transformation pipelines using dbt and BigQuery Write and maintaining Python-based data ingestion and automation processes Create dashboards, reports, and KPI frameworks to support commercial, marketing, and product teams Collaborate … organisation YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial experience with Google Cloud Platform, particularly BigQuery and related cloud services Hands-on expertise with dbt, including testing, documentation, and data modelling Advanced SQL skills with experience optimising queries and building analytical ...

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 ...

cloud-based systems. Familiarity with programming languages (Python, JavaScript, or similar) and system integrations using APIs. Data & Automation: Strong analytical skills with experience managing BigQuery, ETL processes, or cloud-based analytics, alongside BI/reporting tools. Communication: Able to support both technical and non-technical users patiently and clearly … design complex spreadsheets, and translate business requirements into practical system improvements. Bonus Points for: Direct experience with Odoo ERP, Shopify Plus, BigQuery/SQL, ecommerce/marketplace platforms, or PIM/DAM/Product Master Data workflows. About You A Continuous Improver: You are practical, curious, and commercially focused ...

BigQuery Data Engineer Market Day Rate - Inside IR35 via Umbrella Location: 1 day per week in London (Candidates must be UK based and state their location) Duration: 4 - 6 months Role - Linear exposure data: BigQuery pipelines on Google Cloud that turn set-top-box viewing feeds into exposure … that's half built and needs finishing. Privacy-safe joins between that exposure data and pertness outcome data (card spending, web visits), in BigQuery and Snowflake clean rooms. Working directly with partners' data teams. Experience - Solid hands-on data engineering: Python, SQL, BigQuery and GCP pipelines. Snowflake ...

experience The Job As the Data Engineer , your responsibilities will include: Building and maintaining scalable data pipelines and cloud-based data solutions Working with BigQuery, SQL, Looker ML and modern data platforms to transform and activate data Integrating data from CRM, marketing, analytics and third-party platforms Advising stakeholders … visualisation initiatives Contributing to AI and marketing technology transformation projects Managing data integration projects from inception through to delivery You Strong experience with GCP, BigQuery and SQL Experience using Looker ML Background in Data Engineering, Analytics Engineering or Data Solutions Experience working with marketing, media, martech or adtech data ...

individual technology layers in isolation. In this role you will play a key role in: Design and govern enterprise-scale GCP data platforms using BigQuery, Spanner Graph DB, Dataplex, Dataflow, Pub/Sub, BigLake and Cloud Storage. Develop architectures supporting GenAI, RAG, vector search, embeddings and Agentic AI platforms … network platforms Your profile 10+ years in enterprise data architecture with 5+ years designing large-scale cloud-native data platforms. Google Cloud Expertise including: BigQuery, Dataflow, Pub/Sub Dataplex, BigLake, Cloud Storage, Vertex AI, Cloud Composer, Spanner Knowledge Graph & Semantic Modelling Data Engineering: ETL/ELT pipelines, Real ...

interim support for ongoing data migration activity, moving SQL Data (held in MySQL Database) to GCP/BigQuery. Requirements: Must have experience in Google BigQuery migration Strong scripting knowledge (most desirable would-be PHP & Python ) Excellent SQL/MySQL knowledge and project experience. Prior contracting experience on migratory projects ...