25 of 25 BigQuery Jobs in the Thames Valley

years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one More ❯

big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer protocols More ❯

big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer protocols More ❯

and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration More ❯

/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery required. · Data Ingestion: Experience ingesting and processing data from diverse sources (databases, data warehouses, and external APIs) · Infrastructure-as-Code (IaC): Hands-on experience with an IaC solution, such More ❯

engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration More ❯

in data or analytics engineering, ideally within fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident communicator able to translate technical detail into More ❯

SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice to have Prior experience working in More ❯

strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines. Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure). Experience with both transactional RDBMS and modern distributed/cloud-native More ❯

Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯

of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). Familiarity with regulatory environments in More ❯

experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a More ❯

of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights More ❯

the team grows, partner with Product/DS/Eng, and turn business questions into data products that move the needle. Stack: dbt Python GCP – Nice to have. Ie BigQuery, Cloud Composer/Run and Cloud Storage CI/CD Salary: £85K - £95K (negotiable) + Equity, PMI etc London (1 day a week onsite) Please apply if this sound More ❯

Core Expertise: Python (Primary Language) 🐍 Solid full-stack development experience. Proven experience in environments where GenAI is utilised in the development workflow Full Tech Stack: Backend & Data: Python, PostgreSQL, BigQuery, MySQL Frontend: TypeScript, React, styled-components Testing: Jest, React Testing Library, Cypress, pytest Cloud & Infra: AWS, GCP, ECS Fargate, Docker, Terraform, GitHub Actions This is a unique opportunity for More ❯

Senior Data Engineer (GCP BigQuery Python SQL) London/WFH to £85k Are you a tech savvy Data Engineer with Google Cloud expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Senior Data Engineer … you will design and build end-to-end real-time data pipelines using GCP services such as BigQuery, Dataflow and Dataproc, collaborating closely with clients to define business requirements, architect fit-for-purpose data solutions and support the migration of legacy on-premise systems to cloud-native architectures. You'll collaborate directly with clients to analyse requirements, define solutions … the London, City office (or at client site in London). About you: You are an experienced Data Engineer within financial services environments You have expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have More ❯

insightsoftware is a global provider of comprehensive solutions for the Office of the CFO. We believe an actionable business strategy begins and ends with accessible financial data. With solutions across financial planning and analysis (FP&A), accounting, and operations, we More ❯

Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) London/Hybrid 70-80k base plus super and equity A fast-growing, data-driven organisation is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure and workflows that power analytics and decision-making across the business. This role suits an engineer who’s … and ready to join a rocketship that’s well and truly taking off, this one is for you! Day to day responsibilities for the Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) include : Build and maintain data pipelines and warehouse solutions using BigQuery (or similar cloud platforms). Write high-performance SQL and implement data models … in data governance, monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data assets. Required experience for the Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) include : 5+ years’ experience in data engineering or similar roles. Strong skills in SQL, BigQuery, Terraform, and IaC principles. Experience with orchestration tools like More ❯

Job Title: Data Engineer (AI) Location: London (Hybrid – 3 days in office) Industry: Media, Campaign Media, AI/Data Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake Salary: £60-70k *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics … welcome but not essential. Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). Familiarity with large datasets (e.g. BigQuery, Snowflake, or other cloud platforms). Strong communication skills and a problem-solving mindset. What’s on offer Salary in the region of £60–70K plus equity participation. Direct More ❯

is a trusted name in the data consulting space. Due to exciting growth plans, we are now looking for a Data Engineer , specialising in Google Cloud Platform (GCP) and BigQuery . We are looking for: Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data … solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What’s in it for you: 📍 Location: London (Hybrid) 💻 Remote working: Occasional office More ❯

reliable execution on daily, weekly, or customized schedules. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve … SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the Legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

reports. You’ll build the foundations that make analysis and experimentation effortless for everyone else. What you’ll do Design, build, and maintain data pipelines and orchestration (Airflow, dbt, BigQuery) Integrate and manage data from multiple SaaS platforms (e.g. GA4, AppsFlyer, Stripe, PostHog) Build reliable infrastructure for analytics, growth, and product teams Improve data quality, observability, and scalability across … What you’ll bring 4+ years’ experience in data engineering or a similar technical data role Strong Python and SQL skills, plus solid data modelling ability Experience with GCP (BigQuery, Airflow, Pub/Sub, Cloud Storage) Familiarity with dbt, version control, and testing frameworks A collaborative mindset and interest in consumer-focused digital products Details Hybrid role: 3 days More ❯

About Us The Independent is an online news publisher that was established in 1986 as a national newspaper independent of party-political affiliations or proprietorial influence. In 2016, The Independent became a fully digital publisher, moving away from print in More ❯

data-driven applications in Java 🛠️ Lead on requirements, design workshops, and solutioning 🤝 Mentor junior engineers and share best practices ☁️ Implement & optimise microservices and distributed systems on GCP (GKE, PubSub, BigQuery, Dataflow) using Docker & Kubernetes 🔄 Build and manage efficient data pipelines with streaming tech + relational/NoSQL databases ✅ Ensure high quality through robust unit, integration, and non-functional testing … ahead of emerging technologies 💡 What you’ll bring: 🔑 Strong Java & OOP experience 📊 Background in data platforms, frameworks & streaming technologies 🧩 Familiarity with microservices & distributed systems ☁️ Exposure to GCP (GKE, PubSub, BigQuery) 🗄️ Experience with relational/NoSQL databases 🐳 Proficiency with Docker & Kubernetes 🔄 Solid understanding of engineering best practices (CI/CD, Git, testing) 🧠 Problem-solving mindset & curiosity for new technologies 👉 If More ❯