76 to 100 of 341 BigQuery Jobs in the UK

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 ...

ability to thrive in fast-paced, dynamic environments and lead change-management initiativesPreferable qualifications, capabilities and skillsPractical experience with modern data platforms (Snowflake, Databricks, BigQuery) and micro-services or data-mesh architectures preferable.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

thrive in fast-paced, dynamic environments and lead change-management initiatives Preferable qualifications, capabilities and skills Practical experience with modern data platforms (Snowflake, Databricks, BigQuery) and micro-services or data-mesh architectures preferable. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

when a model is degrading and what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step ...

Stack architectures - you understand the layers: ingestion, warehouse, transformation, orchestration, reverse ETL. You've worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration).Strong Python programming - you write clean, testable, maintainable code with solid error handling … write complex queries, understand execution plans, and optimize for performance and cost.Experience with cloud data platforms - you've built data warehouses in BigQuery, Redshift, Snowflake, or similar; you understand distributed processing, partitioning, cost optimization, and data governance.Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) or equivalent - you version ...

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 ...

Bring4+ years of professional experience building and shipping production-quality software.Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar).Solid grounding in at least one of Java or Python, and willingness to be effective in both.A genuine DevOps mindset: comfortable owning ...

automated ML CI/CD systems.Backend & Data Services: Python, FastAPI, Asynchronous task brokers (Celery/RabbitMQ), PostgreSQL, Vector Databases.Data Architecture: High-throughput columnar stores (BigQuery, Parquet) and distributed processing frameworks.AI/ML Foundations: Ecosystems supporting PyTorch, Large Language Models (LLMs), and Deep Generative Tabular Models.What you’ll do:Define ...

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 ...

business adoption Strong technical skills in Python and SQL, including building data pipelines and working with large-scale datasets and distributed data platforms (e.g., BigQuery, Snowflake, Hadoop or similar) Experience applying data science, machine learning, or data engineering approaches within data-intensive domains such as Finance or Operations Proficiency ...

least one analytical language such as Python, SAS or R. Strong Excel skills are expected.Experience with data platforms such as Looker, Power BI, BigQuery or dbt is advantageous.Credit risk or financial services experience is beneficial but not essential. We're open to candidates from other analytical backgrounds ...

building Big Data solutions using Hadoop or GCP or AWS.Skilled in technologies such as Scala, Java, Python, Spark (PySpark/Scala), Kafka, Kinesis, BigQuery, Dataflow, BigTable, Terraform, and SQL.Experience with Terraform, Kafka, Kinesis, SQL are nice to haveStrong expertise in Ab Initio (GDE, PDL, Conduct>IT, Express ...

major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output, supported ...

major cloud provider (AWS, Azure, or GCP).Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate.Disciplined use of AI tools across the delivery process with the ability to validate output, supported by optional ...

influence cross-functionally with Product/Design/Engineering and bring teams along on decisions.To share extra context, our current tech stack includes GCP, BigQuery, Airflow, Python, SQL on the Data side and AWS, Kotlin, Javascript, Typescript on the Product side while our infrastructure is containerised with Kubernetes. Experience ...

PlatformYou have two or more Google Cloud Professional Certifications:Cloud ArchitectData EngineerDatabase EngineerMachine Learning EngineerYou have extensive, hands-on experience with Data Lakes, ETL, BigQuery, Cloud Composer, Dataflow, Dataproc, Cloud SQL, BigTable, Spanner, etc You speak English as the main languageYou are entitled to work (and live ...

Tech Stack Frontend: TypeScript, React, Next.js, Tailwind Backend: Node.js, tRPC, Prisma, Python Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions, Terraform Databases: PostgreSQL, MongoDB, Redis, BigQuery Data & AI: DBT, LLM integrations, prompt pipelines Benefits 34 days off (25 days + bank holidays + birthday) Competitive salary and meaningful equity Private ...

bring a mix of strong technical capability and commercial understanding.Advanced SQL skills (this is a must)Experience working in a cloud data environment (BigQuery preferred)Experience managing data transformations in Dataform, and architecting data models in LookerBackground in digital commerce, digital advertising, ad‐tech, media, or marketplace platformsExperience delivering ...

decisions, market analysis, and investment strategies.What You’ll Bring:Deep expertise in GCP – you’ll bring hands-on experience with GCP tools such as BigQuery, Dataflow, and Cloud Functions.Proficiency in Python, SQL, and modern data engineering tools, plus familiarity with JavaScript for cross-functional collaboration.A strong background in Snowflake ...

Proven experience working across multiple channels (PPC, SEO, content, digital PR) Advanced skills in data analysis and modelling (Python, SQL essential) Experience with GA4, BigQuery, Looker (or similar BI tools) Understanding of ad platform mechanics and APIs (Google, Meta, etc.) Commercial mindset - able to balance statistical rigour with business ...

table? Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy ...

advanced experimentation techniquesAdvanced Technical Toolkit: Expert-level SQL is a baseline. You should have experience with large-scale data environments [ e.g. Snowflake, Databricks or BigQuery], visualization tools (e.g. Tableau) and digital analytics [e.g. Amplitude, Adobe or Google Analytics]Trusted Advisor Exceptional ability to "translate" technical findings for C-suite ...

statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership ...

statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership ...

fintech, or high-volume transactional systems Experience modelling event-based data (e.g. transactions, sessions, gameplay flows) Familiarity with modern data stack tools (e.g. Snowflake, BigQuery, dbt, Kafka) Experience with real-time or streaming data architectures Exposure to regulatory or compliance-driven data environments Experience supporting AI/ML data ...