101 to 125 of 341 BigQuery Jobs in the UK

using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud-based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed ...

Open SDK, APIs, and custom app development Data & Cloud SQL/NoSQL databases — Snowflake Cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data lineage concepts Security & Privacy SIEM/DLP tools integration (Splunk, Microsoft Purview) Identity & Access ...

commercial, IT, and network-related domains from strategy through execution.• Experience designing and scaling modern cloud-based data platforms, including technologies such as GCP, BigQuery, Dataflow, Dataproc, Azure, AWS, or equivalent solutions.• Strong understanding of modern data architectures, including data lakes, lakehouse architectures, streaming platforms, real-time processing ...

time-and-materials augmentation provider Bringing deep, current expertise in cloud-native and serverless data platforms, including AWS, Databricks, Snowflake and/or BigQuery Applying regulated-industry delivery experience across data governance, platform resilience, audit and compliance constraints Representing Optima at industry events and through thought leadership that reinforces ...

including variance reduction, holdouts, sequential testing, or related techniques.Strong proficiency in SQL and python and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.Experience using Python or R for statistical analysis, experimentation, and data modelling.Experience working directly with customers, stakeholders, or cross-functional partners to solve ...

proactive problem-solving skills.Experience designing and implementing batch and stream data processing systems.Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, Cloudwatch), GCP (BigQuery).Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial.Good understanding of AI platforms, experience building the infrastructure for LLM orchestration (e.g., Vector ...

product-led tech.Strong SQL and working Python or R for statistical modelling, analysis and lightweight prototyping.Comfort with the modern data stack - a cloud warehouse (BigQuery or equivalent) and dashboard design principlesSolid grasp of statistics and experimental design - hypothesis testing, sample sizing, A/B testing rigour in a consumer ...

into logical, step-by-step tasks.Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Snowflake, Databricks, BigQuery).Strong track record of innovation and problem-solving to find creative technical solutions to new and unforeseen business problems.Ability to travel to support deployments ...

HTML, CSS, JavaScript, and Node.js with the ability to review code and guide developers.Data Systems: Experience with data warehousing, APIs, and data modelling (e.g., BigQuery).Troubleshooting: Advanced troubleshooting skills to diagnose complex data and implementation issues.Leadership & Strategic Skills:Team Leadership: Proven experience leading and managing a technical team.Strategic Thinking ...

governance materials. Work closely with Credit Risk, Operations, Transformation and Finance teams to translate business problems into analytical solutions. Build scalable analytical processes using BigQuery, Python and Google Cloud technologies. Develop clear and insightful visualisations and presentations for both technical and non-technical audiences. Stay informed of industry best ...

devs with modern AI coding assistants and are building internal workflows and investigating as many uses as possible (docs, unit tests, migrations)Data: BigQuery, dbt, Looker, Spark, PythonLife @MaltRemote Culture: Strong remote culture with most of the team working full-remote from countries where Malt has a physical office ...

devs with modern AI coding assistants and are building internal workflows and investigating as many uses as possible (docs, unit tests, migrations)Data: BigQuery, dbt, Looker, Spark, PythonLife @MaltRemote Culture: Strong remote culture with most of the team working full-remote from countries where Malt has a physical office ...

form your MVP. Internal User Parity: The SDK must provide a 'single front door' for internal users, allowing them to 'pip install' and access BigQuery datasets through the same idiomatic Python patterns designed for customers.Release Open-Source SDKs: Develop and maintain a suite of SDKs in popular languages like ...

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 ...

Design robust data models and seamless integration patterns connecting SFMC with Core Salesforce (Sales/Service Cloud), Data Cloud and enterprise data warehouses (Snowflake, BigQuery, etc.). Guide implementation teams, developers, and platform admins on best practices for Automation Studio, Journey Builder, SSJS, AMPscript, and SQL queries. Partner closely ...

reporting, analytics and AI-enabled solutions. Skills & Experience Minimum 5 years' software development experience. Strong hands-on experience with Python, React, TypeScript, SQL, FastAPI, BigQuery, MongoDB and GCP . Experience with APIs, integrations, cloud deployment and data pipelines. Strong SQL and data modelling skills. Knowledge of CI/ ...

solving skills. Experience designing and implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure for LLM orchestration (e.g., vector ...

orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed ...

including libraries such as Pandas, Scikit-Learn and XGBoost.Experience working with cloud-based machine learning and data platforms, including technologies such as Vertex AI, BigQuery, Cloud Run or equivalent cloud services.Practical experience implementing MLOps tooling and frameworks such as Kubeflow Pipelines, dbt or similar solutions, including monitoring and operationalising ...

including libraries such as Pandas, Scikit-Learn and XGBoost.Experience working with cloud-based machine learning and data platforms, including technologies such as Vertex AI, BigQuery, Cloud Run or equivalent cloud services.Practical experience implementing MLOps tooling and frameworks such as Kubeflow Pipelines, dbt or similar solutions, including monitoring and operationalising ...

data models and features.Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with ...

features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with ...

NEED:Essential Criteria:Strong experience in data engineering in a senior or lead-level technical role. Deep expertise in Google Cloud Platform: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow) as the primary data platform stack. Advanced Python and SQL skills, including writing performant, production grade … streaming/event driven patterns. Strong data modelling skills: dimensional modelling, data vault, or equivalent, with a track record of building well structured, reusable BigQuery data models. Experience with Dataform (or equivalent SQL based transformation tools) for orchestrating transformations within BigQuery at scale. Solid understanding of software engineering ...

experience across: Cloud data warehousing - experience with Snowflake is highly desirable, but not essential . Experience with equivalent platforms such as Databricks, Azure Synapse, BigQuery or Redshift will also be considered. dbt - experience building data models, tests, incremental models and transformations would be advantageous. Python - data engineering, automation, ingestion … Data Engineer with strong Python, SQL and CI/CD experience , and have worked with modern cloud data platforms such as Snowflake, Databricks, Synapse, BigQuery or similar , we'd like to hear from you. ...

builds and maintains:Streaming and batch data platforms that unlock data across TripadvisorETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and HiveOrchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operationsTracking instrumentation, information architecture, and data governance tooling for business … talk.What You’ll DoData Engineering & Data Products, ETLsDesign, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms.Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across ...