1 to 25 of 44 BigQuery Jobs in the South East

the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most of our backend infrastructure You should apply if: What More ❯

on cloud experience (AWS or GCP) with services for compute, data, and AI/ML. Proven skills in data engineering (ETL pipelines, APIs, SQL/NoSQL, data warehouses like BigQuery/Redshift). Experience with AI agents, LLMs and orchestration frameworks (LangChain, AutoGen, LlamaIndex, etc.). Demonstrated ability to ship production-ready internal tools or SaaS integrations. Strong problem 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 ❯

engineering with proficiency in a language such as Python for API development, Data engineering and automation tasks • A background in working with storage solutions such as PostgreSQL, MySQL, and BigQuery • Experience in API development using tools such as FastAPI or Flask, enabling data access and integration across systems • Solid knowledge of cloud platforms (GCP and/or AWS), with 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 ❯

technical topics for non-technical audiences. ·Team player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills: ·Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or More ❯

teams you will model data from business systems to be insight and operations ready. This role is for you if you have: Solid experience in SQL Experience with Google BigQuery preferable Experience working with relational and non-relational data sources Experience using Google Looker Studio (formerly Data Studio), or similar products Data visualisation and data storytelling skills Familiarity with More ❯

Experience Masters degree level Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch We look forward to meeting you. More ❯

campaign initiatives. Analyse large datasets using SQL and Python to uncover trends and guide strategic decision-making. Build and maintain KPI dashboards using modern BI tools (e.g., Looker Studio, BigQuery). Maintain high data quality through validation, monitoring and governance best practices. Contribute to the development and optimisation of the analytics and data warehouse environment. Provide BI guidance, training 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 ❯

Qualifications 5-8+ years of experience in data analysis, product analytics, and AI/ML-driven insights. Strong SQL skills for querying and analyzing large datasets (Presto SQL, BigQuery, etc. Proficiency in BI tools such as Qlik Sense, Tableau, Amplitude, or Data Studio. Python experience for statistical modeling and AI/ML-driven analysis. Experience in A/ More ❯

newsletter performance. What you'll need to succeed Experience of working in a Data Analysis/Product analysis capacity Experience of AB testing Strong experience in SQL - ideally with BigQuery Knowledge of GA4 (Google Analytics) or Adobe Analytics Familiarity with subscription and user lifecycle metrics - CAC, churn, CLV, LTV, retention cohorts Experience building automated dashboards and data pipelines Ability 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 ❯

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 ❯

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 ❯

with APIs and structured data sources Build and visualise insight through dashboards and applications Skills and Experience We are looking for: Strong experience working with cloud tech ideally GCP BigQuery and SQL experience Experience with Python, Typescript or Javascript Experience with data visualisation tools ideally Looker Experience working in an agency or consulting environment Understanding of media, performance or 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 ❯

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 ❯

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 ❯

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 ❯

literacy Collaborating cross-functionally to meet evolving data needs What We're Looking For Proven experience in a data analyst role Strong SQL, Looker/LookML, and GCP/BigQuery skills Confident in data modelling, architecture, and governance Able to work independently and challenge stakeholder requirements thoughtfully Excellent communicator with a collaborative mindset Experience with dbt (nice to have More ❯