11 of 11 Contract BigQuery Jobs in the South East

rail industry's revenue allocation system through a suite of technology upgrades and methodological improvements. Key enhancements include migrating the platform to Google Cloud Platform (GCP), implementing a modern BigQuery-based Data Warehouse, and replacing the legacy solution for allocation factor calculation with an innovative, graph database-driven solution. Duties: Lead the design of data architectures and the development More ❯

two days of work per week. Key Requirements Proficiency with Python and SQL for data transformation, pipeline development, and model integration Experience with modern data lake technologies such as BigQuery or Snowflake Experience working with large, complex, and high-volume data sets The ability to unify, collate, and interpret data to support data-driven decisions Proficient in using analytics More ❯

stakeholders. Detail-oriented, with a focus on accuracy, scalability, and impact. Nice to Have Experience with A/B testing and experimentation platforms. Familiarity with cloud-based pipelines (e.g., BigQuery, AWS). Knowledge of marketing data sources such as GA4, Google Ads, Meta Ads, CRM. More ❯

in technology delivery, with 3+ years leading cloud data projects (GCP preferred). Must have experience delivering data platforms in banking or financial services. Strong knowledge of GCP services (BigQuery, Dataflow, Pub/Sub). Familiarity with ETL/ELT, data lakehouse architectures, and cloud integration. Excellent leadership, communication, and stakeholder management skills. Understanding of data governance frameworks (GDPR More ❯

Technical Lead for cloud data projects (GCP preferred) Strong understanding of Agile/Scrum, DevOps, CI/CD, and cloud-native delivery models Familiarity with GCP services such as BigQuery, Dataflow, Cloud Composer, and Pub/Sub Knowledge of modern data architectures including lakehouse, ELT, and schema design Awareness of compliance frameworks such as GDPR, HIPAA, and RBAC Excellent More ❯

solutions. Experience with front-end development (React/JavaScript) and DevOps/maintenance tasks. Proficiency in building Agentic systems and multi-agent architectures. ETL and data management experience (Postgres, BigQuery, Azure, Snowflake). Ability to design solutions, validate requirements and anticipate risks independently. Experience coordinating with multiple engineering and product teams. Preferred Qualifications: Experience in graph databases and advanced More ❯

security-sensitive environments. Essential Skills: Strong hands-on experience as a DevOps engineer with Google Cloud Platform. Proven expertise with AI/ML services on GCP, particularly Vertex AI, BigQuery ML, and TensorFlow. Solid understanding of MLOps principles, including building CI/CD pipelines for machine learning. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience deploying and managing More ❯

security-sensitive environments. Essential Skills: Strong hands-on experience as a DevOps engineer with Google Cloud Platform. Proven expertise with AI/ML services on GCP, particularly Vertex AI, BigQuery ML, and TensorFlow. Solid understanding of MLOps principles, including building CI/CD pipelines for machine learning. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience deploying and managing More ❯

domain. This is a hands-on data engineering position focused on solving complex data challenges beyond the limitations of Excel. You'll be working with Python, SQL, and GCP (BigQuery) to manipulate large datasets and deliver actionable insights. Key Responsibilities Perform advanced data manipulation and analysis to support stakeholders. Use Python (Pandas, NumPy) to automate and streamline analytical workflows. … management, investments, or reinsurance within the last 2 years. Technical Skills : Python : Strong experience with data libraries (Pandas, NumPy). SQL : Proficient in querying and manipulating data. GCP/BigQuery : Experience building on Google Cloud Platform. Education : Degree in investments, accounting, or actuarial science. Nice-to-Haves Familiarity with dbt or Databricks . Experience with life insurance or investment More ❯

Data Engineer - Financial Services (Contract) £425 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Contract Data Engineer - Financial Services (Contract) Rate: £425 per day (outside IR35) Location: UK (remote with occasional client site visits) Contract: 6-month More ❯

GCP ENGINEER 6-MONTH CONTRACT LONDON (FULLY REMOTE) £500-£600 PER DAY This role as a GCP BigQuery Engineer offers the chance to work with a leading energy company focused on leveraging data to improve efficiency and decision-making. You'll be working on complex data projects within Google Cloud, optimising pipelines, and ensuring reliable data processing. The role … also involves mentoring others and implementing best practices in BigQuery and dbt. THE COMPANY This energy company is a leader in sustainable and data-driven energy solutions, leveraging cutting-edge technology to optimise operations, forecast demand, and enhance efficiency. With a strong focus on digital transformation, they are investing in cloud-based data platforms to drive smarter decision-making … models. Creating clear and comprehensive documentation to support knowledge sharing and adoption. KEY SKILLS AND REQUIREMENTS To succeed in this role, you should have: Strong commercial experience with Google BigQuery and the GCP data ecosystem. Expertise in dbt, including building and optimising data models. Proficiency in SQL for large-scale data transformations. Experience in ELT processes and best practices More ❯