151 to 175 of 712 BigQuery Jobs

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins More ❯

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins More ❯

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins More ❯

engineering or related roles. Proficiency in Python and SQL. Experience with Terraform for IaC. Hands-on experience with cloud platforms (Azure, GCP, or AWS). Knowledge of Databricks or BigQuery for big data processing. Familiarity with DevOps tools and methodologies. Fluent in English, both written and spoken. Amaris Consulting is committed to diversity and equal opportunity, welcoming applications from More ❯

libraries and frameworks such as Panadas and messaging systems, along with proficiency in building out modern data warehouses. Proficient with SQL. Good understanding of cloud-based warehouses (e.g. Snowflake, BigQuery). Experience with AWS, including S3, IAM, RDS, and Kubernetes and Terraform. Extensive experience of working with Analytics teams that provide in-depth analytics reporting capabilities across the business. More ❯

CD pipelines and version control practices Nice to have: Experience using Databricks Asset Bundles (DAB) Working knowledge of GCP and/or Azure in multi-cloud environments Familiarity with BigQuery or deployment automation tools like Harness If you don’t tick every box but feel you could be a great fit, we’d still love to hear from you. More ❯

and implementing scalable data infrastructure and pipelines Strong experience with Python, SQL, and Spark/Flink for data processing Expertise in modern data stacks such as dbt, Airflow, Kafka, BigQuery, Redshift, Snowflake, or similar Familiarity with parsing on-chain events, pulling on-chain data and using tools like Dune and Nansen. Experience handling large-scale datasets and optimizing for More ❯

What We're All About at Kroo Kroo has a big vision. To be the first bank that is both trusted and loved by its customers. We're helping people take control of their financial future and achieve their goals More ❯

Streams)? Select Which statement best describes your hands on responsibility for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub More ❯

Strong knowledge of cloud platforms (AWS, GCP, Azure) and related tools (e.g., Kubernetes, Terraform, CloudFormation). Experience with modern data platforms, including data lakes, data warehouses (e.g., Snowflake, Redshift, BigQuery), and real-time data processing. Proficiency in data modelling, ETL/ELT pipelines, and data integration tools. Strong understanding of security, compliance, and governance for data and cloud platforms. More ❯

Social network you want to login/join with: Want to be part of the UK’s No.1 voted Nail Salon? Townhouse was created with a single goal: to disrupt and reinvent the global nail salon industry. We are the More ❯

Data Engineer - BigQuery Salary: £75,000-£80,000 Role type: Permanent Location: London/Hybrid Our … client is seeking a skilled Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless More ❯

Data Engineer - BigQuery Salary: £75,000-£80,000 Role type: Permanent Location: London/Hybrid Our … client is seeking a skilled Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless More ❯

client is seeking a skilled Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless More ❯

trends) Empower and support continuous improvement for our labelling team, processes and technologies Identify patterns in model performance and recommend specific areas for improvement in training Design and implement BigQuery tables and schemas for efficient data storage & analysis Act as a champion for model explainability, gathering and sharing insights from existing images, running experiments with new data sources and … team with data-driven solutions Required Qualifications SQL (BigQuery and PostgreSQL) proficiency and Python programming skills Experience with Google Cloud Platform Experience with big data warehouse systems (Google BigQuery, Apache Hive, etc) Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage Experience More ❯

and optimization efforts with detailed recommendations. Establish and maintain data governance practices to ensure data quality and security. Identify opportunities to integrate and streamline data using tools like Google BigQuery and Snowflake New Business Development Provide insights and data support for new business pitches and case study development. Collaborate with teams to analyse user behaviour and campaign performance for … Proficiency in BI tools like Looker Studio and Power BI. Strong knowledge of dataLayer customisation for advanced tracking needs. Experience with ETL processes and data pipelines. Familiarity with Google BigQuery, SQL, and performance marketing analytics. Ability to analyse user journeys and identify optimisation opportunities. What we can offer you What we can offer you Flexible Working: Work from home More ❯

are assigned to you, including tasks such as: Configuring and implementing cloud and database infrastructure to an architecture design provided to you using tools such as Google Cloud, Google BigQuery and Google Cloud SQL Transforming and modeling data into consumable information and business logic using tools such as dbt, Dataform and Cube Developing dashboards, explorations and data visualisations using … data engineering with business goals. What We're Looking For Must Haves Real-world experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake Great analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data More ❯

not mandatory. Interest or experience in AI products. Responsibilities Extract and integrate data from various sources based on stakeholder needs. Consolidate data on platforms like dbt, Sigma, Census, Gravity, BigQuery for visualization. Manage the entire ETL process within our tech stack. Define and monitor KPIs, maintain documentation, and ensure data governance. Collaborate with the Analytics Team to enhance digital More ❯

LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows. Strong … NumPy), machine learning, PI development (Flask/FastAPI), and writing clean, maintainable code. SQL: Expertise in querying, database design/optimization, stored procedures, functions, partitioning/clustering strategies for BigQuery tables. LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers. BigQuery: Advanced knowledge of data warehousing/… analytics, BigQuery ML for in-database machine learning, query optimization techniques. Google Cloud Storage (GCS): Experience with data lake management, storage/retrieval processes, lifecycle management. Desirable ITIL Foundation in IT Service Management Scrum/Agile qualifications If you are an experienced AI Engineer Engineer and feel you have the desired skills and experience which would enable you to More ❯

automating analytics workflows. Designing and refining prompts to improve LLM performance in structured data querying and other business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising … LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. MLOps/LLMOps Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/… performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. More ❯

FOI and public-sector procurement. Communication & Stakeholder Management : Able to translate technical concepts for non-tech executives; excellent leadership, mentoring and team-building skills. Performance Analytics : Google Analytics, Google BigQuery, Google Looker Studio, Google Tag Manager Domain experience in benefits or civic services (e.g. public sector). Previous contracting under SIFA or similar public-sector frameworks. Security clearance (BPSS More ❯

academic background. Proficiency in Python and SQL for data applications. Experience designing and maintaining data pipelines using Google Cloud Dataflow or similar. Hands-on experience with GCP services like BigQuery, Cloud Storage, Pub/Sub, and workflow orchestration with Composer or Vertex Pipelines. Ability to translate business needs into scalable data models and architect data lake/lakehouse environments More ❯

excited to further grow our DTC pet brand with real impact and real autonomy - let's talk. Activities Tasks ️ You help us build our data warehouse - likely using Y42, BigQuery, and Looker Studio - and ensure that our data sources are reliable, consistent, and clean. Deep data engineering expertise isn't necessary, but a solid understanding of data architectures, data … in e-commerce and are familiar with key KPIs and the underlying mechanics of the industry. You have strong SQL skills and hands-on experience with databases (e.g. PostgreSQL, BigQuery, or NoSQL systems like MongoDB or DynamoDB), as well as with visualization tools (e.g. Looker, Tableau, Google Sheets, or Excel). Bonus points if you know Python (e.g. Pandas … understand how data flows across different systems. You have a solid understanding of data architectures and pipelines and feel confident helping us build our data warehouse - likely using Y42, BigQuery, and Looker Studio - even without deep data engineering expertise. You work in a structured, detail-oriented, and solution-focused way - and are able to translate complex data into clear More ❯

jobs Solid programming skills and SQL querying experience Hands-on experience with ETL tools is a plus Knowledge of Data Vault, Kimball is a plus Knowledge of Oracle, Google BigQuery or Microsoft Azure is a plus ARE YOU IN FOR THIS CHALLENGE? WE HAVE A LOT TO OFFER: At Tripwire Solutions you will find yourself in an innovative and More ❯

range of programmes, channels, and its position within the global media landscape. Other things we’re looking for (key criteria) Experience working with cloud-based platforms such as GCP (BigQuery), AWS (Redshift) and Databricks preferable Keen problem solver who can demonstrate critical thinking, coupled with strong communication skills Ability to work in a collaborative and cross-functional environment Excellent More ❯