26 to 50 of 53 Permanent BigQuery Jobs

+ unstructured data. Data & Cloud Infrastructure (GCP‐first) Architect retrieval pipelines on Google Cloud Platform (GCP). Design data pipelines and feature stores using BigQuery or alternative analytical systems. Ensure scalability, observability, and cost efficiency. Build production‐grade systems, not experiments. Qualifications 5+ years building and scaling production search ...

motivating high-performing analytics teams within fast-paced, commercially driven environments. Strong knowledge of analytics and customer insight platforms, including GA4, Contentsquare, Databricks, Snowplow, BigQuery, and similar tools, with the agility to balance strategic thinking and day-to-day trading priorities. Benefits Competitive salary and pension scheme with company ...

motivating high-performing analytics teams within fast-paced, commercially driven environments.* Strong knowledge of analytics and customer insight platforms, including GA4, Contentsquare, Databricks, Snowplow, BigQuery, and similar tools, with the agility to balance strategic thinking and day-to-day trading priorities.From the moment you join the LuxExperience Group ...

requests Your Skills and Experience Strong commercial experience in ecommerce or digital analytics Confident working with tools such as GA4, SQL, BigQuery or Looker Experience analysing acquisition performance, conversion and customer behaviour Ability to work independently and take ownership in a fast-paced environment Clear communication skills with ...

will gain hands-on exposure to a diverse, modern GCP data ecosystemspanning relational, NoSQL, and analytical platforms (including PostgreSQL, Cloud SQL, Spanner, and BigQuery). This role is specifically designed for an aspiring technologist with a broad interest in modern cloud databases who wants to transition from an academic ...

this role offers real ownership and influence. The Role - Data Engineer Designing a greenfield data platform – building and shaping our modern data stack (e.g. BigQuery, Airbyte), moving beyond standalone SQL Server environments. Leading integrations – supporting our NetSuite migration and creating scalable data frameworks for future acquisitions. Modernising legacy systems … migrations Expert-level SQL/T-SQL with proven experience refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/ ...

analytics environments. Hands on experience with Databricks within a production data platform is essential. Broader exposure to modern cloud data technologies such as Snowflake, BigQuery, or Redshift is beneficial. A strong understanding of how data platforms enable analytics, AI, and business outcomes. Confident stakeholder management skills, with the ability ...

EXPERIENCE 3-5 years' experience in data-focused roles Strong hands-on experience with Databricks Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial Background in data product, data engineering, business analysis, analytics, or platform delivery Strong understanding of how data platforms support business ...

prioritise these within a backlog and map the business processes that underpin them You have a good understanding of a modern data stack (preferably BigQuery, Looker, ETL/ELT pipelines) You have experience in a fast paced Retail or Wholesale environment You're collaborative and pragmatic, able to communicate ...

compute, GPU optimization, and MLOps architecture. Willingness to learn new parts of the ML tech stack – Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and model serving frameworks. Fluency in life sciences or drug discovery is a plus. Working Location & Compensation: This is an office ...

tech stack that you might not already know. Our current ML infrastructure includes: Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and various model serving frameworks. Fluency in life sciences or drug discovery is a plus but not required to be considered. Working Location & Compensation ...

right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics ...

conversational analytics, and to AI agents through governed semantic and knowledge layers.The industry is at an inflection point. Google Cloud’s Agentic Data Cloud, BigQuery Graph, Knowledge Catalog, and MCP-native database tooling are redefining how data platforms serve autonomous agents. We need a technical leader who understands this … reason over, and act on enterprise data. This includes MCP-based tool connectivity, agent-facing data services, and integration with emerging capabilities such as BigQuery Graph, Knowledge Catalog, and the Google Cloud Data Agent Kit.Advanced Data Infrastructure. Drive adoption of graph databases, knowledge bases, and hybrid query engines that ...

domain‐aligned data products, and enabling real‐time data analytics and reporting. This is a hands‐on leadership role; you will be working in BigQuery, dbt, and data pipelines yourself. Key Responsibilities Strategy Execution: Lead on data strategy execution, leading by example in a hands‐on capacity Data Foundations … Skills, Knowledge and Expertise Leadership Experience: Proven track record of leading data projects in fast‐paced environments Technical Mastery: Expert‐level proficiency in SQL, BigQuery, and modern data ingestion/transformation patterns Tooling: Experience with Looker, dbt, and Python Data Science: Ability to develop Machine Learning models ...

environment control (dev/test/prod), and effective change management practices. • Contribute to cloud platform development, with a strong preference for GCP (BigQuery), within a Data Mesh architecture. Key Requirements: • 5+ years’ experience as a Data Engineer with a strong focus on ETL/ELT. • Advanced … Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding of Data Mesh, Test Driven Design, and Agile delivery. • Experience with documentation, CI/CD pipelines ...

improving data quality as the platform scales. ·The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. ·You will have the opportunity to support and mentor other engineers, contribute to engineering standards and play an active role … Looking For ·Proven Python and SQL experience within production environments ·Experience delivering data transformation projects end to end ·Experience with Spark, Snowflake, BigQuery or similar technologies ·Solid experience working with AWS, GCP or Azure ·Comfortable working with complex, imperfect datasets ·Experience owning solutions from design through to deployment ...

Senior Analytics Engineer Permanent role - Up to £85k + bonus + benefits - London 2x a week in the office The Role We are seeking a Senior Analytics Engineer to join a growing data team and ...

Significant experience designing and building automated, scalable data pipelines. Advanced Python and SQL development skills. Hands-on experience with Google Cloud Platform technologies, including BigQuery, Airflow/Cloud Composer, Cloud Run, Dataform and Dataplex. Experience delivering complex technical projects in fast-paced environments. A passion for mentoring others … healthcare setting. Skills Essential Extensive experience in using key programming languages including T-SQL and Python. Desirable Experienced in key programming languages including BigQuery SQL. Abilities Essential Extensive experience in developing complex data engineering processes using a range of technical tools. Desirable Experience in developing complex data engineering processes ...

complex data modelling and analytics use cases Implementing dimensional models using Kimball methodologies Working with cloud data warehouse technologies such as Snowflake or BigQuery Supporting analytics use cases and collaborating with stakeholders across the business Contributing to data platform improvements and best practices Your Skills and Experience Strong commercial … experience writing complex SQL, including CTEs and window functions Experience working with modern cloud data warehouses such as Snowflake, BigQuery or similar Solid understanding of dimensional modelling and data warehousing concepts Exposure to data transformation tools such as DBT is beneficial Basic knowledge of Python, ideally in the context ...

into reliable, production-ready systems that scientists can trust and use daily.You’ll manage and extend a GCP-first platform, working with tools like BigQuery, Airflow, dbt, and Terraform. You’ll also help build internal applications using Python, FastAPI, and React, giving teams easy ways to trigger workflows … cloud environment Solid Python skills, including building backend services and working with data workflows A few years of experience with GCP, including BigQuery and cloud-native tools Hands-on experience with Airflow, dbt, and modern data pipelines Infrastructure as code experience, ideally using Terraform Experience building or contributing ...

within a cloud-first architecture on Google Cloud Platform (GCP), you will play a key role in designing and delivering modern data solutions using BigQuery and distributed systems. You will lead a geographically distributed team and collaborate with stakeholders across the business to deliver reliable, high-performance data platforms … Data Engineering team builds and maintains large-scale data systems designed for performance, reliability, and efficiency. Our platform includes: Google Cloud Platform (GCP) architecture BigQuery data warehousing High-throughput distributed applications Batch data processing pipelines Integration with REST and SOAP APIs Windows and web services Web-based applications ...

within a cloud-first architecture on Google Cloud Platform (GCP), you will play a key role in designing and delivering modern data solutions using BigQuery and distributed systems. You will lead a geographically distributed team and collaborate with stakeholders across the business to deliver reliable, high-performance data platforms … Data Engineering team builds and maintains large-scale data systems designed for performance, reliability, and efficiency. Our platform includes: Google Cloud Platform (GCP) architecture BigQuery data warehousing High-throughput distributed applications Batch data processing pipelines Integration with REST and SOAP APIs Windows and web services Web-based applications ...

infrastructure that powers a category-defining financial intelligence product. The core stack is Go, Python, and GCP - you'll be working across Cloud Run, BigQuery, and Pub/Sub, helping to productionise financial models into scalable, API-driven services. Frontend exposure is useful but not a requirement. This … cloud role. Key Responsibilities Build and maintain scalable backend services in Go and Python Deploy and manage services on GCP, using Cloud Run, BigQuery, and Pub/Sub Contribute to the productionisation of financial intelligence models into API-driven services Implement robust data pipelines using batch/streaming architectures ...

reporting and insight using GA, BigQuery and Looker in a growing data-led business Salary up to £60,000 with strong ownership and autonomy. Hands-on role focused on insight, analysis and dashboarding. Hybrid working with 1–2 days a week in a central London office. We’re looking … analytics day to day. What you’ll be doing You’ll build and maintain dashboards using Looker Studio, working primarily with data in BigQuery and GA. You’ll write SQL to extract, query and transform data, turning it into clear insights. You’ll analyse data, spot trends and answer ...

initial scope is the market data product estate and the primary research data platform. Technology choices for physical implementation have not been finalised. Google BigQuery is our existing lakehouse platform and the likely foundation, but decisions on the transformation layer, tooling, and overall implementation approach will be made during … data model design for analytical data warehouses Strong command of entity‐relationship modelling, normalisation, and dimensional design Experience with cloud data warehouse platforms – Google BigQuery is the existing lakehouse technology; hands‐on experience with BigQuery or equivalent (Snowflake, Redshift, Databricks) is expected Ability to produce technology‐agnostic logical ...