1 to 25 of 51 BigQuery Jobs in the South East

design, and troubleshooting queries to support high-volume data transactions and improve database performance. Managing Cloud Data Resources: Develop and maintain software products utilising GCP services such as PubSub, BigQuery, Cloud Storage, and Dataflow. Contributing to Billing Infrastructure: Building and maintaining a reliable billing architecture within an event-driven environment. Collaborating on Problem-Solving: Partnering with Business Intelligence, infrastructure More ❯

including APIs, databases, and flat files. Assist in the setup and optimisation of data infrastructure and storage solutions, such as data warehouses and data lakes, using platforms like Snowflake, BigQuery, or Azure Synapse. Help manage cloud-based infrastructure and services across AWS, Azure, or GCP environments. Learn to monitor data quality and integrity across systems and gain an understanding More ❯

and problem-solving skills, with the ability to convert data into actionable insights. Proficiency in data visualization tools such as Power BI , or similar. Experience with Snowflake and GCP (BigQuery) or other cloud-based data warehousing technologies is highly desirable. Familiarity with Python is a plus. Working knowledge of Lead Scoring criteria, build and implementation is a plus Great More ❯

SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. More ❯

equivalent) - building models, tests, documentation, version control. Understanding of data warehousing concepts (star schemas, snowflake, slowly changing dimensions, partitioning, clustering). Experience working in a modern data stack (e.g. BigQuery, Snowflake, Redshift, Databricks, etc.) Comfortable working downstream (with BI/analytics users) and upstream (pipelines, ingestion) contexts. Familiarity with BI tools (we use Thoughtspot and Power BI). Proficient More ❯

technology solutions. Strong programming skills (JavaScript, TypeScript, Python, or similar). Experience with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with ETL/ELT processes and data visualisation tools (e.g. Looker Studio). Knowledge of AI integrations and agent More ❯

crucial role in data impact felt throughout the company by: Designing and implementing robust and well-orchestrated E2E data pipelines (ELT, Reverse-ETL). Employing data modelling techniques in BigQuery and dbt, with an emphasis on legal and venture capital data. Building production-grade LLM pipelines with complex business domain understanding. You'll have complete ownership and autonomy over More ❯

solutions. Promote a culture of insight, simplicity, and innovation in data use. Skills & Experience Expert in Microsoft Power Platform; strong SQL skills. Experience with cloud analytics (e.g. Databricks, Snowflake, BigQuery). Skilled in automation, agile delivery, and stakeholder management. Strong understanding of data governance, CI/CD, and version control. Excellent data storytelling and visual communication skills. If you More ❯

particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version More ❯

solutions. Core Focus: Google Cloud Platform (GCP) Expertise Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures. GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings. Vertex AI: Expertise in building, deploying, and scaling machine learning models with Vertex AI, including More ❯

and lineage. Drive CI/CD practices using GitHub Actions or similar tools. Collaborate with cross-functional teams to improve platform capabilities and analytics maturity. Requirements: Proven experience in BigQuery and dbt/dataform for data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. More ❯

to define and implement data models and storage strategies. DATA ENGINEER - ESSENTIAL SKILLS: Proven experience as a Data Engineer, Data Developer, or similar role. Strong experience with GCP (e.g. BigQuery, Cloud Storage, Dataflow) and other cloud-based data solutions. Proficiency in Python for scripting and data transformation. Hands-on experience with PostgreSQL and MongoDB. Solid understanding of ETL/ More ❯

tooling to get bootstrapped quickly is a must: Frontend TypeScript + React - App Router with React Server Components Shadcn UI, Radix UI & Tailwind CSS - Utility-first CSS framework Data BigQuery - Cloud data warehouse Dataform - SQL transformation framework - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform More ❯

quality and readiness in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical depth More ❯

Requirements About You Proficient in SQL, with experience querying and transforming large datasets across marketing, sales, and customer data sources. Comfortable working with modern data stacks, ideally including Redshift, BigQuery, Matillion, Metabase, and Retool. Strong grasp of performance marketing metrics such as ROAS, CAC, CTR, CPM, and attribution models. Experienced in building dashboards and visualisations that enable data-driven More ❯

must. Core AI & Machine Learning Python Vertex AI/Hugging Face LangChain/BAML — LLM frameworks Langfuse, LangSmith — Observability Pandas, NumPy, scikit-learn, PyTorch — Data & ML stack Data & Infrastructure BigQuery — Cloud data warehouse PostgreSQL — Application data Pulumi — Infrastructure as Code (TypeScript) Google Cloud Platform (GCP) — Cloud provider GitHub Actions — CI/CD Docker/Kubernetes — Containerisation Cloudflare — CDN and More ❯

to develop data platforms solutions for Recursion. Excitement to learn parts of our tech stack that you might not already know. Our current tech stack includes: Python, dbt, Prefect, BigQuery, Datastream, FiveTran, PostgreSQL, GCS, Kubernetes, CI/CD, Infrastructure as Code. Our cloud services are provided by Google Cloud Platform. Experience working collaboratively on projects with significant ambiguity and More ❯

technologies with custom Woven data processing, all deployed to AWS.". Pipeline code is written in Python & Java.. We use SQS and Kafka to automate data connections and leverage BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed team, working in the UK More ❯

technologies are crucial for managing vast datasets and performing complex data transformations and aggregations. Cloud Data Management: Implement and oversee cloud-specific data services including AWS Redshift, S3, Google BigQuery, and Google Cloud Storage. Leverage cloud architectures to improve data sharing and interoperability across different business units. Security and Compliance: Ensure all data practices comply with security policies and … Engineering Tools & Technologies: Demonstrates proficiency in SQL and Spark, and familiarity with platforms such as Databricks and Snowflake. Well-versed in various storage technologies including AWS S3, Google Cloud BigQuery, Cassandra, MongoDB, Neo4J, and HDFS. Adept in pipeline orchestration tools like AWS Glue, Apache Airflow, and dbt, as well as streaming technologies like Kafka, AWS Kinesis, Google Cloud Pub …/Sub, and Azure Event Hubs. Data Storage Expertise: Knowledgeable in data warehousing technologies like BigQuery, Snowflake, and Databricks, proficient in managing various data storage formats including Parquet, Delta, ORC, Avro, and JSON to optimise data storage and retrieval. Building and Managing Large-scale Data Systems: Experienced in developing and overseeing large-scale data pipelines and data-intensive applications More ❯

digital media, or data-focused environments Strong understanding of AdTech and marketing technologies (ad servers, CDPs, DMPs, or tagging platforms) Hands-on experience with cloud-based data platforms (GCP, BigQuery, or similar) Strong data literacy and ability to interrogate data using SQL Excellent stakeholder engagement and communication skills Experience working in agile delivery teams The Benefits: £65,000 base More ❯

and mentor a team of analysts, fostering curiosity and innovation. Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes. Tech Environment Tools: SQL, GA4, BigQuery Languages: Python, R Environment: Modern data infrastructure with dedicated tagging and engineering support. No tagging work required - focus purely on insights and impact. About You 5+ years' experience in More ❯

You will help them achieve that by providing advisory and assurance services across a range of modern data management technologies, including Data Vault 2.0 architectures, Snowflake, Azure, AWS, Google BigQuery, and Databricks. Reporting to the Data and AI Consulting Manager, you will combine consulting experience, technical proficiency, and stakeholder engagement skills to accelerate our clients' journeys to becoming more … data-driven and less data-busy. Key Responsibilities Client Delivery Design, validate, and optimise Data Vault 2.0 architectures across Snowflake, Databricks, and BigQuery environments. Provide best-practice guidance on dbt modelling, testing frameworks, and macros. Define governance and metadata standards (naming, access, lineage, compliance) suited to regulated industries like higher education and retail. Recommend orchestration and deployment strategies using More ❯

on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio. You'll need: Proven experience in digital/product analytics - not marketing-focused Strong SQL & BigQuery skills GA4 (or Adobe Analytics) expertise Comfort working with GTM/implementation teams Some A/B testing exposure You'll report directly to the Analytics Lead, within a More ❯

business Act as a data champion and support colleagues through training and mentoring Skills Needed Strong SQL experience Hands on experience with Looker and LookML Experience with GCP or BigQuery Solid understanding of data modelling and data architecture dbt experience is a bonus Strong communication skills and confidence working autonomously Benefits Competitive salary plus benefits Hybrid working Enhanced leave More ❯

Support the development and enhancement of ad technology solutions. Analyse and document processes, data flows, and systems integrations. Contribute to projects involving ad blockers, data pipelines, and analytics (e.g. BigQuery). Experience & Skills 3+ years' experience as a Business Analyst Strong technical understanding and ability to work closely with developers. Familiarity with ad tech platforms, data signals, or video More ❯