1 to 25 of 89 BigQuery Jobs in the UK excluding London

needed. Requirements: Strong proficiency in Python for data engineering tasks. Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks. Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such More ❯

Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance More ❯

for data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache More ❯

/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset and More ❯

much more Key Responsibilities Develop and maintain ETL/ELT data pipelines using Python and SQL. Work with enterprise-level cloud platforms, ideally GCP (BigQuery, Airflow, Cloud Functions). Integrate APIs and process data from multiple sources. Design and optimise data warehouses and reporting systems. Build reports and dashboards More ❯

dbt. You have experience building dashboards in Looker and/or Tableau. Experience with AWS Redshift and/or other cloud data warehouses (Snowflake, BigQuery). Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering More ❯

commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery More ❯

familiar with the auditing process to verify the efficacy of the data being captured. Naturally you’ll be comfortable working with SQL and ideally BigQuery (though a similar data warehousing technology is fine) with PowerBI experience being a big bonus, though by no means essential. Bonus points if you More ❯

technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to More ❯

technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to More ❯

you’ll bring: Strong SQL skills Proven experience building and maintaining data pipelines (Airflow, DBT, etc.). Familiarity with cloud data platforms like Snowflake, BigQuery, or Redshift. Solid experience with BI tools like Looker, Tableau, or similar. Understanding of data warehousing and data architecture best practices. Ability to simplify More ❯

Python coding skills. Experience with AWS and knowledge of IaaS (e.g., Terraform, CDK). Proficiency in SQL for big data (Presto/HiveQL/BigQuery/SparkSQL). Familiarity with data transformation (batch & streaming) using DBT. Knowledge of shell scripting. Additional Information You will get: Personal Development - career pathway More ❯

insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer needs and priorities Creative problem-solver with a strategic More ❯

for: Technical excellence across the Data Engineering ecosystem: We primarily work in python, go and SQL. Our code (tracked via github) deploys to GCP (Bigquery, Airflow/Composer, GKE, Cloud Run), dbt Cloud and Azure via terraform. We recognise this is a broad list; if youre not deeply familiar More ❯

insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer needs and priorities Creative problem-solver with a strategic More ❯

POV/POCs, configuring a cloud storage bucket for a customer to upload sample data to, configuring cloud permissions to access a customer’s BigQuery instance in order to create a materialized view. What You’ll Need Technical Expertise Comfortable working with APIs (REST, GraphQL). Able to interpret More ❯

Stack: Full-Stack Development : TypeScript, React, Next.js, Tailwind, Prisma Database Management : PostgreSQL, MongoDB, Redis Cloud Solutions : AWS, Google Cloud, Serverless Architectures Data Pipelines : DBT, BigQuery, Terraform Backend Programming : Python Qualifications: Backend Development Proficiency : Strong skills in Python, FastAPI, and Pydantic. Infrastructure Expertise : Familiarity with AWS services (Lambda, S3, ECS More ❯

scale Good communication skills and the ability to work collaboratively across teams Self-motivated, organised, and willing to take initiative Desirable: Experience working with BigQuery or similar data warehouse platforms Familiarity with Google Analytics , Business Objects , or other web analytics tools Exposure to ecommerce and/or retail environments More ❯

Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex More ❯

and wed love to hear from you! What experience youll need to apply: Strong technical expertise in Python, SQL, ETL, and Googles data stack (BigQuery, Dataform, Looker Studio, Composer). Experience leading and mentoring data teams, with a passion for developing people. A deep understanding of data science, data More ❯

a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or Holistics. Strong understanding of data modelling, reporting More ❯

advantage of learning opportunities to help N Brown become an industry leader What knowledge of Technology will you have? Experience with Google Cloud products (BigQuery, GCS, Cloud Composer, Dataflow etc.) or similar products from other cloud platforms Experience with open-source data-stack tools such as Airflow, Airbyte, DBT More ❯

AWS).//Excellent programming skills in Python.//SQL/NoSQL database management systems (PostgresSQL, MongoDB).//Familiar with BigQuery, Snowflake, Firebolt and/or Amazon (preferred).//Ability to work on messy, complex real-world data challenges.//Knowledge of More ❯

or related role Excellent SQL skills Good understanding of relational and analytical database architectures and methodologies Experience of cloud data warehousing solutions e.g. Snowflake, BigQuery, Redshift Good hands-on experience with at least one Business Intelligence platform Strong analytical and problem-solving skills Excellent communication skills, with the ability More ❯

media landscapes. Strong track record of managing client or stakeholder relationships. Able to explain technical concepts in simple, business-friendly language. Skilled in SQL, BigQuery or similar, with Python or JavaScript as a plus. Experience applying statistical techniques to business problems Degree (or equivalent) in a statistics-based subject More ❯