1 to 25 of 113 BigQuery Jobs in England

similar. Strong SQL skills and experience with relational and NoSQL databases. Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery). Familiarity with data modeling tools and techniques, as well as metadata management solutions. Soft Skills: Excellent communication and collaboration skills, with the ability more »

solver who thrives in a fast-paced environment and is excited about making an impact. Knowledge of data warehousing concepts and tools (e.g., Redshift, BigQuery) is a plus. What’s In It For You: A chance to work on exciting projects that make a difference in people’s lives. more »

in batch and streaming Proficient in one of the following languages: Python, C#, Java, JavaScript Proficient in SQL Experience with warehousing solutions like: Snowflake, BigQuery, Redshift, Synapse Proficiency in effective code management, collaboration and version control: GIT Adequate level of knowledge and experience with some of the following: API more »

in everything you do Desirables Bachelor’s degree in computer science or related field Experience with the Google Cloud Platform/Data Stack including: BigQuery Cloud Functions Cloud Storage Pub/Sub IAM Management Looker Data Studio Coding experience with Python/Javascript/C# Familiarity with statistical/ more »

with big data technologies (e.g., Hadoop, Spark, Kafka). Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and data warehousing solutions (e.g., Redshift, BigQuery). Proficient in programming languages such as Python, Java, or Scala. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills more »

Experience with delivering data pipelines within AWS. Proficiency with Python programming Familiarity with AWS Redshift or similar cloud DWH platforms such as Snowflake or BigQuery Proficiency with SQL and experience with relational databases (e.g. Amazon Redshift), NoSQL databases (e.g. DynamoDB), and graph databases (e.g. Amazon Neptune) Experience with infrastructure more »

organize data from various sources, both internal and external, including cloud-based platforms and on-premises databases such as SQL, Microsoft Dynamics, MongoDB, GA4, BigQuery, and third-party connectors. Use SQL to query and manipulate large datasets efficiently, helping design schemas and tables within the data lake's medallion more »

with regulatory requirements related to financial crime (such as AML/KYC) Knowledge of cloud-based database solutions such as AWS Redshift or Google BigQuery Strong organizational skills Qualifications Bachelor’s degree in computer science, information technology, or a related field Five years of relevant experience in logical data more »

of experience working as a professional data engineer in industry Expertise with Python coding and type system Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Experience with cloud development (we use GCP and more »

Keen interest in the future of customer analytics, including lifetime value and retention. Experience building/briefing data models in a cloud environment (e.g. BigQuery, Snowflake, Redshift). Ability to work autonomously, building strong working relationships with key stakeholders across CRM, Membership, trading and other digital functions. Additional Information more »

maintaining, and orchestrating data pipelines. Confidently work with APIs and code/scripting pipelines to transform data into analysis-friendly assets using technologies like BigQuery or Amazon Redshift. Implement CI/CD pipelines to streamline data workflows. Design and optimize databases for performance and scalability. Conduct thorough code reviews more »

delivering data-driven products and insights as well as influencing product and engineering decisions. Significant experience working with large-scale cloud database systems (e.g., BigQuery). Broad Knowledge of best practices in large- and small-scale data processing Experience in analysing, validating, and transforming large datasets. Proficiency in deploying more »

in predictive modeling, segmentation, time series analysis, and decision-making applications. Cloud Platform Experience : Proficiency with cloud-based platforms like Databricks, Snowflake, and Google BigQuery, and experience deploying workflows with tools like Airflow or Databricks. Product Deployment Track Record : Proven experience taking data science products from conception to production more »

in fast-paced, dynamic environments and possess the commercial awareness to see the bigger picture. Key Responsibilities: Develop, manage, and refine data models in BigQuery that align with business insights and operational efficiency. Lead the creation and optimisation of dashboards in Looker Studio, ensuring they deliver clear, actionable insights more »

Google Cloud Platform preferred) and experience in AWS or Azure. Proficient in programming languages such as Python, JavaScript, TypeScript. Expertise in SQL, data warehousing (BigQuery), and automation tool development. Non-Technical Skills: Strong communicator, able to simplify complex solutions for technical and non-technical audiences. Skilled in stakeholder and more »

Google Cloud Platform preferred) and experience in AWS or Azure. Proficient in programming languages such as Python, JavaScript, TypeScript. Expertise in SQL, data warehousing (BigQuery), and automation tool development. Non-Technical Skills: Strong communicator, able to simplify complex solutions for technical and non-technical audiences. Skilled in stakeholder and more »

software development lifecycle in analytics (e.g. version control, testing, and CI/CD) in fast-paced environments. * Experience with cloud data warehouses especially Google BigQuery but also Snowflake * Python & SQL master: Wrangle & transform data with ease. * Experience with data architecture is a big advantage * Good communications skills both verbally more »

apply * 5+ years of experience in data engineering, with a strong focus on ETL and data warehousing. * Proficiency in SQL and experience working with BigQuery or similar cloud-based data warehouses. * Relevant experience with BI tools. * Familiarity with data pipeline orchestration tools. * Strong understanding of data modelling principles and more »

Experience: At least 3 years of hands-on experience in a data engineering role. Strong experience in Python and building ETL pipelines. Proficiency in BigQuery and SQL. Experience with cloud infrastructure (GCP), Kubernetes, and CI/CD processes. Familiarity with Git, Jenkins, and distributed data systems. Desirable Skills: Experience more »

projects for enterprise clients, including: ETL Pipelines : Build ETL pipelines using tools like Fivetran or custom Python solutions. Data Models : Design models typically using BigQuery or Snowflake . BI Dashboards : Build and maintain dashboards using Tableau , Power BI , or Looker to provide actionable insights. Adoption : Monitor dashboard usage and more »

areas: web and mobile app development, SQL, ETL or data pipelines, and data analysis. Experience with cloud data warehouses/lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS. Strong technical skills and experience with data modeling and dbt. Clear and confident communicator experienced in presenting solutions to business more »

solutions • In depth knowledge of the Snowflake platform and capabilities • Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous • Practical knowledge of GenAI and LLM offerings in the market • Skilled in working on large more »

manipulate data Utilising dashboards through third party products (we currently use Google Looker Studio) Understanding of querying large databases (e.g. SQL/MySQL/BigQuery, etc) Advanced spreadsheet skills (Google Sheets and/or Excel) Statistical analysis Analysing performance trends Experience of working in sport and leisure is not more »

and building data products, perhaps as part of a Data Mesh implementation Experience of cloud platforms, ideally Google Cloud Platform • Familiarity with Jira, Confluence, BigQuery & Miro • Conversant in data quality principles, their importance to the business and their complexities If you tick most but not all of the requirements more »

ideally making divisions on the platform/Greenfield projects are highly desired Python - Hands on development, not just scripting AWS Familiar with Snowflake or BigQuery Bonus points: MLOps Knowledge of experience/basic concepts more »