1 to 25 of 32 Permanent BigQuery Jobs in the South East

Strong SQL Server skills, including query optimisation and performance tuning. Familiarity with scheduling and orchestration tools (e.g. Control-M). Hands-on experience with Google Cloud tools such as BigQuery, Composer, and VertexAI. Proficient in Python for data manipulation and modelling. Strong skills in data visualisation using Tableau Desirable: Background in insurance or financial services, with exposure to industry More ❯

materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks More ❯

materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks More ❯

big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer protocols More ❯

big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer protocols More ❯

share documentation, and support technical best practices Integrate infrastructure and data services across cloud platforms Skills and Experience Expertise in cloud platforms: Azure : Data Factory, Synapse, Monitor, ARM GCP : BigQuery, Dataflow, Cloud Composer, Pub/Sub Strong knowledge of data warehousing, storage, and modelling Experience with ETL/ELT processes and performance tuning Hands-on scripting (Python, PowerShell) for More ❯

each use case Support knowledge sharing and technical best practice Essential Experience: Proven expertise in building data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable More ❯

data solutions Migrating from Azure to GCP Automate data lifecycle processes and optimise cloud resource usage Support analytics and self-service reporting initiatives Skills & Experience Strong experience with GCP, BigQuery, Dataflow Proficiency in Python and Terraform Skilled in ETL/ELT, data modelling, and metadata management Familiarity with CI/CD, DevOps, and Infrastructure-as-Code Knowledge of insurance More ❯

processes and data quality To be successful in the role you will have: Experience in an analytical role Strong SQL skills for data extraction and manipulation Experience with Google BigQuery is beneficial Proven experience in financial modelling and forecasting Experience using data visualisation tools such as Power BI, Tableau, or Google Looker This is a fully on-site position More ❯

impact of business changes, new product launches, pricing strategies and market shifts, and creating comprehensive financial reports and visualisations using Looker. You'll be working with data from Google BigQuery, though prior experience with this is not required, as long as you bring SQL skills for data extraction and manipulation, and a desire to learn how to work with More ❯

impact of business changes, new product launches, pricing strategies and market shifts, and creating comprehensive financial reports and visualisations using Looker. You'll be working with data from Google BigQuery, though prior experience with this is not required, as long as you bring SQL skills for data extraction and manipulation, and a desire to learn how to work with More ❯

impact of business changes, new product launches, pricing strategies and market shifts, and creating comprehensive financial reports and visualisations using Looker. You'll be working with data from Google BigQuery, though prior experience with this is not required, as long as you bring SQL skills for data extraction and manipulation, and a desire to learn how to work with More ❯

strategies to continuously enhance the company's data capabilities. YOUR SKILLS AND EXPERIENCE: The ideal Head of Data Platform will have: Extensive experience with Google Cloud Platform (GCP), particularly BigQuery Proficiency with a modern data tech stack, including SQL, Python, Airflow, dbt, Dataform, Terraform Experience in a mid-large sized company within a regulated industry, with a strong understanding More ❯

will have the following skills and experience: Strong hands-on background in data engineering, with 5+ years working on modern data platforms Experience leading cloud data migrations- GCP and BigQuery strongly preferred Proficiency in SQL, Python, dbt, Airflow, Terraform and other modern tooling Excellent understanding of data architecture, governance, and DevOps best practices Proven leadership or team management experience More ❯

in a financial or analytical role. Degree (or equivalent experience) in Finance, Economics, Accounting or a numerate discipline (preferred). Proficient in SQL for data analysis; experience with Google BigQuery is advantageous. Strong experience in building financial models and conducting forecasting. Excellent analytical, mathematical and problem-solving abilities. Proficiency in data visualisation tools such as Google Looker, Tableau or More ❯

in B2B Saas/Tech/software industry) Demonstrable passion for data analytics, particularly marketing, product data analysis Ideally you would have experience using analytical tools such as SQL (BigQuery), GA4, Search Console, Google Ads, Amplitude, Salesforce o Data visualization tools such as : Looker If you don't have the experience but can demonstrate the passion and knowledge in More ❯

in B2B Saas/Tech/software industry) Demonstrable passion for data analytics, particularly marketing, product data analysis Ideally you would have experience using analytical tools such as SQL (BigQuery), GA4, Search Console, Google Ads, Amplitude, Salesforce o Data visualization tools such as : Looker If you don't have the experience but can demonstrate the passion and knowledge in More ❯

Studio, Tableau, Power BI, Trevor.io) Strong communication skills – able to explain data to non-technical audiences Highly self-motivated and comfortable managing your own workload Bonus Skills Experience with BigQuery or similar cloud data warehouses Familiarity with Looker (full version) Basic forecasting/modelling skills Exposure to product, marketing, or operational data Why Apply? High-ownership role with exposure More ❯

movement of data across enterprise environments Desirable Knowledge of data storage systems, including RDBMS (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and data warehouse solutions (e.g., Amazon Redshift, Google BigQuery) Familiarity with data exchange technologies and protocols such as APIs, ETL processes, and data replication Understanding of cloud storage services offered by AWS, Microsoft Azure, and Google Cloud Platform More ❯

dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯

fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Key Responsibilities: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯

dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption 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 ❯

on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio. You'll need: Proven experience in digital/product analytics - not marketing-focused Strong SQL & BigQuery skills GA4 (or Adobe Analytics) expertise Comfort working with GTM/implementation teams Some A/B testing exposure You'll report directly to the Analytics Lead, within a More ❯

in cloud architecture, specifically with Google Cloud Platform (GCP), and a proven track record of designing scalable and secure cloud solutions. Strong expertise in cloud-native technologies, including Kubernetes, BigQuery, Dataflow, and Pub/Sub, along with proficiency in programming languages such as Python, Java, or Go. Experience in implementing best practices for cloud security, cost management, and performance More ❯