21 of 21 Permanent BigQuery Jobs in Berkshire

engineers, data scientists, and business stakeholders. Familiarity with cloud-based data ecosystems such as AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data More ❯

industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun More ❯

shaping solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines More ❯

joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Strong command of the Google Cloud Platform (GCP) stack: BigQuery, Cloud Storage, Pub/Sub, Composer, or Vertex Pipelines Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data More ❯

data analytics, analytics engineering, or business intelligence, preferably in a technology or SaaS environment. Expertise in SQL and data modelling, with hands-on experience working with cloud data warehouses (BigQuery a strong plus). Proficient with BI tools (Looker Studio, Superset, or similar), able to build robust dashboards and compelling visualizations. Practical experience automating data workflows (e.g., with Python More ❯

Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. 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 ❯

channels. What you'll be doing: Build dashboards & automate reporting across Paid Search, Social, Display, Email & Organic Define KPIs and translate data into clear business insights Use SQL, Python, BigQuery, Tableau (or similar BI tools) to drive scalable solutions Partner with marketing, sales, and finance to optimise performance Contribute to advanced analytics projects: media mix modelling, lead scoring, attribution More ❯

orchestration and deployment tools like Apache Airflow and Kubernetes Advanced expertise in cloud-based data engineering— Google Cloud Platform (GCP) experience is strongly preferred and highly valued Familiarity with BigQuery , Pub/Sub , Dataflow , and other GCP-native tools is a major advantage Line management or formal leadership experience—comfortable managing engineers and fostering team growth Excellent communication and More ❯

and existing diseases, and a pattern of continuous learning and development is mandatory. Key Responsibilities Build data pipelines using modern data engineering tools on Google Cloud: Python, Spark, SQL, BigQuery, Cloud Storage. Ensure data pipelines meet the specific scientific needs of data consuming applications. Responsible for high quality software implementations according to best practices, including automated test suites and More ❯

optimisation. Contribute to future data projects, including media mix modelling, lead/session scoring, and pipeline optimisation. Tech Stack Data stored in GCP (GA4, ad platforms, internal sources). BigQuery for querying. Google Cloud Functions for data ingestion. Reporting in Tableau (key focus for this role). Requirements 6+ years’ experience in analytics or data science within digital marketing 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 ❯

Git, and collaborative workflows. Interest in or experience with AWS , CI/CD pipelines, and DevOps best practices. Experience with data workflows , ETL pipelines, or data warehousing tools (e.g. BigQuery, RedShift) is a plus. The Person: They’re looking for someone who: Is passionate about software and technology. Communicates clearly and confidently – in person and in writing. Works well More ❯

use of PubSub and Cloud Storage React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as the data warehouse, with Metabase for data visualisation. Production data and Posthog events both stream into it so data is in one place Sentry and Google Cloud Logging More ❯

numerical or technical field is preferred. 3+ years of experience as a programmatic data analyst in a media owner, media agency or AdTech sector. Strong SQL skills (such as BigQuery and/or MySQL) Proficiency in data visualisation tools (Looker Studio, Tableau, Power BI, etc.) Self-starter, organised with strong commercial acumen. Up to £55k base salary + generous More ❯

a measurable difference in the real world. The Candidate Key attributes of the suitable Analytics Engineer Manager include: Strong experience with modern data platforms and tools such as Snowflake, BigQuery, Redshift, dbt, Airflow, SQL, and Python. Proven track record in building and optimising large-scale data pipelines, warehouse solutions, and analytics workflows in cloud environments Leadership experience managing and More ❯

across the data team We’re looking for a Senior Data Analyst/Business Analyst with: Strong SQL skills and proven experience building dashboards in Looker Studio (and ideally BigQuery) Experience presenting data insights to senior, non-technical stakeholders in a confident and engaging manner The ability to create dashboards and reporting frameworks from scratch where needed Strong communication More ❯

Digital Product Analyst London - 4 days in office Up to £50,000 A leading fashion retail company is seeking a Digital Product Analyst to join the team! THE COMPANY This company is a leading British fashion brand and they are More ❯

Data Engineer We’re looking for a Data Engineer with strong Python skills and experience in event-driven systems to join our growing data team. This isn’t your typical “pipelines-for-analysts” role -you’ll be building real-time More ❯

This AI Start up based near Kings Cross is looking for a Data Engineer. This will be a hybrid position working in the office 3 days a week. You will help build and manage the robust data infrastructure that powers 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 ❯