1 to 25 of 115 BigQuery Jobs in the UK excluding London

pricing, finance, commercial, merchanting, retail, or B2B distribution environment.Hands-on experience developing dashboards in Looker Studio, Power BI, or Tableau, alongside experience with GCP, BigQuery, or automated data pipelines.Knowledge of machine learning techniques, clustering algorithms, LFL metrics and rebate/margin bridge analysis.Why Join Us This is a highly ...

pricing, finance, commercial, merchanting, retail, or B2B distribution environment.Hands-on experience developing dashboards in Looker Studio, Power BI, or Tableau, alongside experience with GCP, BigQuery, or automated data pipelines.Knowledge of machine learning techniques, clustering algorithms, LFL metrics and rebate/margin bridge analysis.Why Join Us This is a highly ...

confidence reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable ...

business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. Advanced SQL skills, including ...

Data Science. You’ll enable our data driven approach, and:Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity ...

hands-on SQL skills with strong data modelling and data warehousing knowledge. Proven experience working with cloud-based MPP data warehouses such as Snowflake, BigQuery, or Redshift. 2+ years' experience with Looker or a similar BI tool. Strong understanding of ETL/ELT processes, data transformations, and pipeline dependencies. ...

have experience/knowledge in:Advanced Looker capabilities, such as extensions, API usage, or embedded analyticsCloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery)Analytics engineering practices and tools (e.g., dbt testing, CI/CD for LookML)Programming languages such as Python or RWorking on data transformation or modern data ...

from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite ...

also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with Infrastructure as Code, ideally Terraform Desirable * Experience with Databricks, Snowflake or BigQuery * Cloud certifications (AWS, Azure or GCP) * Experience mentoring junior engineers or working in a consulting environment This is an excellent opportunity to work ...

Technical skills Essential Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable ...

designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability ...

speed, scalability, reliability, governance and cost. It would be great if you also have: Experience with cloud platforms such as Databricks, Snowflake, Azure, AWS, BigQuery or similar technologies. Experience with modern orchestration and transformation tools. Experience working within regulated or highly governed environments. Experience supporting analytics, machine learning ...

their expertise and understanding.QualificationsTo be successful in this role, you will need to have:Experience delivering and deploying production-ready data processing solutions using BigQuery, Pub/Sub, Dataflow and DataprocExperience developing end-to-end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam.Expert understanding ...

stakeholders & will translate business requirements into Data Science deliverables. The opportunity to work with leading data engineering technologies, including Google Vertex AI tools, Google BigQuery, BigQuery Pipelines, and Airflow, with leading Data Science tools and emerging technologies for model building and deployment. Opportunities to develop your career ...

work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater value to clients. Champion engineering excellence – Develop high‐quality, well‐tested solutions using modern software engineering ...

technologies (although we do not expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure ...

technologies (note we do not expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics infrastructuredbt and BigQuery SQL for our data modelling and warehousingPython for data science and machine learningGo to write our application codeAWS for most of our backend infrastructureThe ...

years in analytics/data engineering or marketing analytics engineering rolesExpertise in GTM/GA4/GMP/Meta tracking; strong SQL, experience with BigQuery or equivalentHands on APIsProficiency with dashboarding (Looker studio/Tableau) and at least one scripting language (Python or R)MMM/Attribution exposure (Robyn ...

data science products from concept through to production or repeatable business use. Experience working with cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery or similar. Experienced in modern, agile data science delivery using version control, CI/CD, and cloud-based tooling. Strong understanding of code quality ...

transformation and orchestration toolsBuilding semantic models or reusable business logic for BI, analytics or self-service reportingWorking in cloud data environments such as Databricks, BigQuery, Snowflake or similarApplying engineering practices to analytics, including Git, pull requests, testing, documentation and CI/CDImproving data quality, lineage, governance and trust across ...

Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation frameworks. Programming proficiency ...

Data Governance and Data Classification policies.Maintain data dictionary.Maintain business level data model.Recommending and introducing new technology where needed.Core:Cloud data platforms (e.g. Snowflake, BigQuery, Redshift)Data transformation technology such as DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/Kimball ...

these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore how we use analytics and Data Science in our Engineering ...

running tasks, error-recovery Backend: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask, RESTful APIs. Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage. Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. ...

expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive ...