201 to 225 of 527 BigQuery Jobs

architecture, CI/CD and engineering practices. Strong experience delivering scalable, secure and cost-effective AI solutions on Google Cloud Platform, including Vertex AI, BigQuery, Kubernetes and cloud-native architecture patterns. Proven ability to lead multidisciplinary engineering teams, influence senior stakeholders, coach talent and communicate complex technical concepts clearly ...

data warehouse, enabling analytics across the business. The ideal candidate has strong SQL, Python, and experience with cloud data tooling (GCP/BigQuery), data governance, metadata and lineage, and agile delivery using JIRA and Confluence. #J-18808-Ljbffr ...

advance AI/ML-driven user experience. Hybrid role with three on-site days in City of London. Responsibilities include building scalable data pipelines (BigQuery, Dataflow/Apache Beam, Airflow), ensuring data quality and observability (Looker, Monte Carlo), and collaborating with product engineering and data science teams to plan ...

Liberty Wines Ltd is transforming its data estate by migrating to a cloud-based analytics platform using BigQuery, Snowflake, dbt, Looker and Omni. As our Data & Analytics Engineer, you will shape the platform from the ground up, covering data engineering, modelling, reporting and stakeholder enablement. You will design scalable ...

Data Analyst will have strong experience in Business Analysis within complex GCP data environments. Strong hands-on experience with GCP is essential, ideally including BigQuery and related GCP data services. Proven experience designing, architecting or implementing Data Governance and Master Data Management (MDM) frameworks. Strong reporting and KPI requirements ...

communication skills Pragmatic approach to engineering, balancing technical excellence with business needs Desirable Experience with Backstage or similar developer enablement tooling Experience with BigQuery, Cloud Composer, Cloud Run, Pub/Sub, Dataflow or Dataplex Exposure to both GCP and Azure environments Experience supporting modern data platforms or analytics environments ...

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 ...

architectures (e.g. data lakehouse, event‐driven architectures, streaming, data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure Synapse, Databricks, Snowflake). Experience designing data models for analytics and AI, and working with structured and unstructured data. ...

workflows, feature engineering pipelines, experimentation frameworks, and model evaluation code for production settings. Working knowledge of GCP-based data and ML environments, preferably including BigQuery, Vertex AI, and cloud workflows that support deployment, monitoring, and retraining We engineer faster, smarter, leaner supply chains. GXO is a leading provider ...

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 ...

using scientific and ML libraries (e.g., pandas, scikit‐learn, statsmodels, PyTorch/TensorFlow). Extensive hands‐on experience with large‐scale analytical data warehouses (BigQuery or equivalent). Experience defining modeling strategies and technical roadmaps. Strong track record of establishing ML/AI standards, best practices, and tooling within ...

platforms such as Salesforce Understanding of how declarative platform automation silently alter data post-import Experience in relational cloud-based database technologies like Snowflake, BigQuery, Redshift Understanding of cloud computing security concepts Familiarity with DBT and Databricks Experience working in an agile environment Experience working with AI tools (Claude ...

architectures Experience of real-time, low-latency transaction-based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within ...

from analytics platforms (e.g. GA4, Adobe Analytics) and delivering insights that drive measurable business outcomes in a fast-paced environment Proficient in SQL and BigQuery, with experience using data visualisation tools (we use Looker Studio and Tableau); Python is a plus but not essential Deep understanding of key eCommerce ...

technical levels Preferred Experience in supply optimisation, pricing, marketplace analytics, or a related domain Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches Experience collaborating with Machine Learning Data Science teams to validate ...

marketing or related field an analytics manager or senior analyst who has managed a team Experience of coding languages for analysis (Python, BigQuery & SQL preferred) Experience of web analytics tools such as GA Experience of developing wrireframes and creating dashboards Experience in data storytelling, demonstrating how to interpret data ...

hands-on experience with data services across one or both of AWS (Redshift, Glue, S3/Lake Formation, MSK, RDS) and GCP (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Data flow mapping and optimisation: demonstrable experience producing current-state data flow documentation, identifying inefficiencies and risks in existing ...

Drive performance through data and analytics – Confidence going deep into collections data yourself, with proficiency in Looker and spreadsheet management required and SQL or BigQuery a strong advantage. This is core to the role, not something to delegate. A track record of testing and iterating customer communications – Experience developing ...

haves Experience in telephony, voice, or contact centre systems (SIP/WebRTC, call routing, containment, AHT). Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake). What success looks like Depth and expansion within each account — a growing number of live agentic use cases, and adoption spreading into ...

Hush is an ambitious and distinctive fashion brand, with plans to double the business over the next few years. Founded 21 years ago, we are now established as one of the UK’s leading online ...

implementations. Frameworks & Tools: Hands-on experience with agentic frameworks (Google ADK, LangGraph), LLMs (Gemini, Claude, open-source), cloud and database architecture (Cloud SQL, Firestore, BigQuery, Postgres), and AI security & observability (OpenTelemetry, guardrails, LLM gateways). Data & Workload Orchestration: Mastery of data preparation strategies for AI workloads, data acquisition ...

will need to have knowledge of the following products and deep experience in one more of the categories: VPC networks and Service Perimeters BigQuery, Cloud SQL, Cloud Spanner and Firestore Data analytics services including Dataproc, Dataflow, Data Fusion and Cloud Composer Security controls, including Cloud IAM, PAM, VPC Service ...

support the successful delivery of major digital initiatives, including the move to (url removed) One Login. Analytics Tooling: Essential: Google Analytics 4, Google BigQuery, SQL and data visualisation (Data Studio, Power BI, or equivalent) Desirable: Experience using Google Tag Manager ...

systems. It is a hands-on, problem-solving position that balances delivery speed with quality and risk management. You will build data capabilities using BigQuery, MongoDB and Google Cloud, while actively improving automation and AI-enabled processes. #J-18808-Ljbffr ...

high‐quality services and applications Build and maintain Kubernetes clusters on‐prem and in cloud Access and IAM management in Google Cloud, Looker, BigQuery, etc. Database management (MySQL, PostgreSQL, MongoDB) Performance monitoring and fine‐tuning Log collection and analysis Monitoring and alerting setup and management Establish best practices ...