126 to 150 of 445 BigQuery Jobs in the UK

Bring 4+ 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 ...

measurement. 3–5 years of experience in data engineering or backend infrastructure. Deep proficiency in SQL and experience with multiple database engines ( PostgreSQL, ClickHouse, BigQuery, MySQL ). Experience building database connectors or integration layers . Strong Python skills for scripting, tooling, and pipeline development. Familiarity with data modelling, schema ...

engineering. Experience with dbt or similar version-controlled transformation frameworks. Strong understanding of data warehouse architecture and semantic modelling. Experience working with Redshift, Snowflake, BigQuery or similar cloud data platforms. Background in financial services, trading, brokerage or capital markets. Experience leading, coaching and developing analytics teams. Excellent stakeholder management ...

engineering. Experience with dbt or similar version-controlled transformation frameworks. Strong understanding of data warehouse architecture and semantic modelling. Experience working with Redshift, Snowflake, BigQuery or similar cloud data platforms. Background in financial services, trading, brokerage or capital markets. Experience leading, coaching and developing analytics teams. Excellent stakeholder management ...

messy, complex datasets and turn them into clear recommendations and stories that land with non-technical audiences. Proficient in SQL and Python, comfortable in BigQuery, and experienced with tools like dbt, Tableau, or Looker. Experience with operational or work management data is a plus. Where You'll Be This ...

influence a diverse set of stakeholders. Strong SQL skills and experience working with large-scale relational and cloud-based databases (e.g., Snowflake,BigQuery). Experience with machine learning frameworks (e.g., scikit-learn,XGBoost, TensorFlow,PyTorch). Ability to work autonomouslyand comfortable with ambiguity. Experience in the healthcare field, preferably ...

supporting a technical sale. Real depth in data. You know at least one of these areas well: data warehouses (such as Snowflake, Databricks or BigQuery), cloud data infrastructure on AWS, or behavioural event data. You’re comfortable going deep in the one you know best. A consultative approach. ...

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 ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building ...

Governance) and shaping enterprise-wide data strategies and operating models. Strong technical expertise across modern cloud data platforms (such as Snowflake, Databricks, or BigQuery on AWS), data engineering workflows, and cloud-native AI capabilities. Deep knowledge of enterprise data governance, GDPR compliance, data quality frameworks, and responsible AI principles. ...

operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries ...

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 principles Solid grasp of statistics and experimental design - hypothesis testing, sample sizing, A/B testing rigour ...

only qualifying factor. Data Fluency : You are comfortable working with SQL, relational data structures, APIs, and modern data stack tools (such as BigQuery, Snowflake, or Reverse ETL tools like Hightouch or Census). You understand how event taxonomies and payload schemas impact delivery. Managing Up & Constructive Pushback : You have ...

operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries ...

scalable data flows that power our global Social Video performance dashboards, monetisation insights, and viewing metrics. This involves working extensively with technologies including Google BigQuery, dbt, Microsoft Fabric and other modern data tools to create reliable, well‐documented pipelines. Your work will ensure data is accurate, secure, and accessible … performance data reaches Finance complete, reconciled and on time for month-end Build and maintain robust, scalable data pipelines, using technologies such as Google BigQuery and dbt to transform raw data into structured, analytics‐ready datasets Ensure data integrity, governance, and security across the data platform, contributing to data ...

role focused on AI-assisted development and data-driven outcomes. You will work with data pipelines on Google Cloud Platform, using Python, SQL and BigQuery, and embrace AI coding agents as part of the daily workflow. The ideal candidate has strong data engineering experience, a curiosity-driven approach ...

Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives, Data warehouses in the cloud, such as AWS Redshift, GCP BigQuery, and Azure Synapse etc. Nice-to-have: Experience with graph databases such as Neo4j or other SQL/NoSQL databases Experience in frontend development ...

data analysis tools Experience using Databricks Experience with other BI tools such as Alteryx Experience of using Google Analytics for reporting and analysis (including BigQuery) Should you not hear from us within 2 weeks, please assume your application has not been successful. #J-18808-Ljbffr ...

tracking setups into clear, compelling narratives for senior marketing, technology and finance leaders. Systems & Scalability Focus: Comfortable working in cloud data environments like BigQuery, with a focus on building playbooks, repeatable workflows and automated pipelines. People Leadership: Proven experience developing and mentoring technical data specialists, taking as much pride ...

Data Engineering or software engineering for production data services. Strong Python and SQ L and experience with ingestion, transformation and orchestration. Production experience with BigQuery, Pub/Sub, Dataflow, Dataproc, Cloud Storage and Cloud Composer , or equivalent. Experience with batch, streaming, event-driven and API integration patterns. Practical ...

direct physical-world impact. Technologies we use Backend languages: Python, Go Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event-driven architecture and domain-driven design Our interviewing process Intro call with the hiring manager ...

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 ...

data systems from ingestion to data products, focusing on reliable, scalable architectures. You'll work with SQL, Python, and cloud warehouses (BigQuery, Snowflake, Redshift) and orchestration tools (Airflow, Prefect, Dagster) while collaborating with analytics, data science, and product engineering to deliver impact across the organization. #J-18808-Ljbffr ...

pipelines, implement data quality checks, and collaborate with data scientists and analysts to deliver business-ready datasets. The role emphasizes modern cloud warehouses (BigQuery-like environments), dimensional modelling, and automated testing within an Agile team. Hybrid working with strong collaboration is offered. #J-18808-Ljbffr ...