176 to 200 of 469 BigQuery Jobs in the UK

explain technical concepts clearly Experience working with digital marketing, analytics, or performance-focused environments is advantageous Additional experience with ETL/ELT processes, BigQuery, data warehouses, or data visualisation tools would be beneficial. How to Apply If you're a Martech Engineer, Software Engineer, or Automation Engineer with ...

understand and challenge assumptions and biases in analytical output, methodologies, models, data sets and recommendations Experience working with data platforms, ideally GCP and BigQuery, Google Analytics Experience working with data visualisation software, ideally ThoughtSpot and Data Studio Able to write production grade code in SQL or Python Extensive experience ...

code‐review workflows. It would be great if you had any of the following... Experience with GCP (e.g., GKE, Cloud Run, Pub/Sub, BigQuery) and Vertex AI (Endpoints, Pipelines, Model Monitoring, Feature Store). Hooks for prompt/version management, offline/online evaluation, and human ...

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 ...

with engineering, marketing, sales and product teams to define KPIs, experiment with new algorithms and surface actionable insights that drive impact. Maintain data infrastructure (BigQuery, dbt, Fivetran) and ensure data quality for reporting and self‐service analytics. Develop a culture of data-driven decision making and proactively suggest improvements ...

management and communication skills Pragmatic approach to engineering, balancing technical excellence with business needs 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 ...

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. ...

dashboards using modern BI tools such as Power BI, ideally with some exposure to cloud data platforms such as Databricks (or similar, e.g. Snowflake, BigQuery).An understanding of loyalty and CRM metrics; frequency, retention, lifetime value, RFM or similar segmentation approaches, and how they connect to broader commercial performance ...

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 ...

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 ...

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 ...

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 ...

price Bring recommendations rather than options. Lead with your view and what you need to execute it Build the tooling, using our Claude, dbt, BigQuery and Lightdash stack, so pricing decisions get faster over time rather than more manual Collaborate closely with the Senior Leadership Team and co-founders ...

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 ...

governance Support vulnerability remediation and security controls Contribute to automation, monitoring and reporting processes Required Skills Strong hands-on Google Cloud Platform experience BigQuery administration and governance IAM and RBAC implementation experience Service account management Access management and access governance Strong understanding of security best practices Experience working within ...

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 ...