276 to 300 of 712 BigQuery Jobs

behaviour by querying raw data 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 and subscription metrics such as More ❯

About Jobgether Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. One of our companies is currently looking for a Senior Software Engineer, Data More ❯

Lab49 is seeking a highly skilled Data Modeler with expertise in building application data models covering multiple capability areas of business that include Finance, CRM, and Master Data Management (MDM) to support large-scale Programmes. This role requires a strong More ❯

Social network you want to login/join with: Data Modeller/Architect Whitehall Resources are looking for a Data Modeller/Architect. This role is fully on site in Stratford for an initial 6 month contract. ***inside IR35*** Job More ❯

Senior Marketing Analyst - Insights & Analytics Hybrid Office of the CEO As a Senior Analyst within the Business Intelligence team you will be responsible for providing insight and analysis into the performance of our client's marketing strategies, the global digital More ❯

Description: Key Responsibilities Provide technical leadership and strategic direction for enterprise-scale data migration and modernization initiatives. Architect end-to-end data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted … and data engineering with proven skills and leadership in large-scale cloud data programs. 5+ years of advanced expertise in Google Cloud data services: Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Hands-on experience with orchestration tools like Apache Airflow or Cloud Composer. Hands-on experience with one or more of the following GCP data processing … of data lakehouse design, event-driven architecture, and hybrid cloud data strategies. Strong proficiency in SQL and experience with schema design and query optimization for large datasets. Expertise in BigQuery, including advanced SQL, partitioning, clustering, and performance tuning. Experience with version control systems (e.g., Git). Track record of success advising C-level executives and aligning technical solutions with More ❯

ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such as Vertex AI, BigQuery, Dataflow, and GKE. • Proficiency with vector similarity tools such as ScaNN, FAISS, or Vespa for semantic and visual search. • Experience with AI agent frameworks (e.g., Dialogflow, LangChain, or custom … AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face Transformers). • Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing More ❯

ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such as Vertex AI, BigQuery, Dataflow, and GKE. • Proficiency with vector similarity tools such as ScaNN, FAISS, or Vespa for semantic and visual search. • Experience with AI agent frameworks (e.g., Dialogflow, LangChain, or custom … AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face Transformers). • Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing More ❯

adjacent analytics connectors, APIs and platforms. Develop and manage data pipelines between key data sources and destinations using platform APIs and GCP resources such as Cloud Run, Cloud Functions, BigQuery, Cloud SQL Manage and maintain data applications, using a combination of e.g. Appsscript, Python, JavaScript, SQL, Django, Docker/Kubernetes. Produce reports (Looker Studio, BigQuery) and implementation guide … e.g. Google Tagmanager, dataLayer, server side, etc) and consent management systems (e.g. OneTrust, Cookiebot, etc) Demonstrable knowledge in developing data pipelines within GCP Advanced knowledge of creating reports using BigQuery and Looker Studio Strong interpersonal skills: you'll be liaising with internal and client-side developers, clients, practitioners and non-practitioners and team members that rely on your expertise. More ❯

adjacent analytics connectors, APIs and platforms. Develop and manage data pipelines between key data sources and destinations using platform APIs and GCP resources such as Cloud Run, Cloud Functions, BigQuery, Cloud SQL Manage and maintain data applications, using a combination of e.g. Appsscript, Python, JavaScript, SQL, Django, Docker/Kubernetes. Produce reports (Looker Studio, BigQuery) and implementation guide … e.g. Google Tagmanager, dataLayer, server side, etc) and consent management systems (e.g. OneTrust, Cookiebot, etc) Demonstrable knowledge in developing data pipelines within GCP Advanced knowledge of creating reports using BigQuery and Looker Studio Strong interpersonal skills: you'll be liaising with internal and client-side developers, clients, practitioners and non-practitioners and team members that rely on your expertise. More ❯

adjacent analytics connectors, APIs and platforms. Develop and manage data pipelines between key data sources and destinations using platform APIs and GCP resources such as Cloud Run, Cloud Functions, BigQuery, Cloud SQL Manage and maintain data applications, using a combination of e.g. Appsscript, Python, JavaScript, SQL, Django, Docker/Kubernetes. Produce reports (Looker Studio, BigQuery) and implementation guide … e.g. Google Tagmanager, dataLayer, server side, etc) and consent management systems (e.g. OneTrust, Cookiebot, etc) Demonstrable knowledge in developing data pipelines within GCP Advanced knowledge of creating reports using BigQuery and Looker Studio Strong interpersonal skills: you’ll be liaising with internal and client-side developers, clients, practitioners and non-practitioners and team members that rely on your expertise. More ❯

as you will lead projects on your own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and … machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A More ❯

and work with analytics accounts, goals, properties, dashboards, reports, segments, and custom channel/content groupings Specific experience and/or knowledge: Google Tag manager Google Analytics Looker studio BigQuery Cloud data JavaScript, Python & SQL (mandatory) This role is office based , excluded from our remote working due to business need and nature of the role. Our offices are based More ❯

marketing, product, operations, finance, and customer experience, among others. You’ll work closely with the growth and product teams, providing web analytics support using GA360/GA4 data in BigQuery, and enabling self-serve reporting in business tools. You’ll also contribute to an emerging AI and automation roadmap—building lightweight tools, enhancing process efficiency, and helping the team … test and scale innovations that drive measurable value. The Data Engineer will be responsible for: Building and managing ELT pipelines and analytics infrastructure (BigQuery, dbt, Fivetran, Sigma, etc.) Supporting web analytics, conversion funnels, and traffic segmentation Collaborating with business stakeholders to model meaningful metrics and enable self-service reporting Working on internal AI initiatives like customer segmentation, recommendation systems More ❯

improvements and implement best practices. Collaborate with stakeholders to gather requirements and deliver validated solutions. Skills & Qualifications: Strong knowledge of Power BI, SQL, Excel/Google Sheets, Fivetran, DBT, BigQuery, GCP/Glue, and Python. Proven ability to troubleshoot complex data pipelines and integration challenges. Familiarity with database structures and query optimization. Excellent communication skills for stakeholder collaboration and More ❯

experimentation About You: A few years' experience in data, analytics, or insights roles - ideally in e-commerce or online consumer behaviour Strong skills in SQL, Excel, and/or BigQuery (or similar tools) Clear communicator with the ability to translate data into actionable stories Commercially minded - you focus on business impact, not just analysis Proactive, curious, and comfortable working More ❯

ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business More ❯

ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business More ❯

experimentation About You A few years' experience in data, analytics, or insights roles - ideally in e-commerce or online consumer behaviour Strong skills in SQL, Excel, and/or BigQuery (or similar tools) Clear communicator with the ability to translate data into actionable stories Commercially minded - you focus on business impact, not just analysis Proactive, curious, and comfortable working More ❯

What We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. More ❯

environment. Proficiency with digital analytics tools (e.g., Google Analytics or equivalent). Experience with visualization tools (e.g., Looker Studio, Power BI or equivalent). Experience with SQL environments (e.g., BigQuery, Databricks or equivalent). Strong analytical skills with the ability to draw concise insights from multiple data sets. Excellent stakeholder engagement and collaboration skills. Ability to manage multiple projects More ❯

teams Provide design support for our data models to answer multiple business needs through collaboration with data engineers Nice to haves Experience with Looker/ThoughtSpot Experience with Google BigQuery Experience with Mobile Measurement Platforms Seniority level Seniority level Associate Employment type Employment type Full-time Job function Job function Analyst Industries Software Development Referrals increase your chances of More ❯

HIPAA, SOC 2) . Proficiency in building and maintaining RESTful APIs, message queues (Kafka, Pub/Sub, RabbitMQ), and cloud-native services (GCP, AWS) . Experience with databases (PostgreSQL, BigQuery, MongoDB and TimescaleDB) and data modeling for time-series or medical data. Familiarity with event-driven architecture , microservices , and containerization (Docker, Kubernetes) . Robert Walters Operations Limited is an More ❯

Hugging Face Transformers and AWS-native solutions. Knowledge of Multi-Cloud AI Tools: Good knowledge and understanding of Google Cloud AI tools such as Vertex AI, Cloud AutoML, and BigQuery ML, enabling effective integration in multi-cloud environments. Mentoring and Enablement Skills: Proven ability to mentor team members and enable cross-functional collaboration to foster technical growth and innovation. More ❯

Microsoft Graph API) IN ADDITION, THE BELOW WOULD BE NICE TO HAVE (DEPENDING ON THE TEAM) Lab 1: Cloud Enterprise and Computer Security Data & Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning models to address business More ❯