16 of 16 Contract BigQuery Jobs in the UK

and compliance standards. Strong analytical and problem-solving skills with attention to detail. Excellent communication and documentation abilities. Preferred: Exposure to cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake). Knowledge of Python, R, or other scripting languages for data manipulation. Experience in banking, financial services, or enterprise IT environments. More ❯

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 ❯

ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex models into engaging narratives. Experience in scaling proof-of-concept More ❯

ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex models into engaging narratives. Experience in scaling proof-of-concept More ❯

ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex models into engaging narratives. Experience in scaling proof-of-concept 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 ❯

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 ❯

Innovation & mentoring - Champion modern approaches, introduce emerging tech, and guide data teams in best practices. About You Strong track record in cloud-native data architecture with deep GCP expertise (BigQuery, Dataform, GCS, Vertex AI). Experience designing and implementing complex data ecosystems across pipelines, storage, and integration. Skilled in simplifying and modernising architectures while balancing innovation, cost, and governance. More ❯

a highly skilled Data Engineer to join a long-term financial services engagement. This is a hands-on role where you'll be leveraging your Python, SQL, and (ideally) BigQuery/GCP expertise to deliver high-quality data solutions. You will work directly with critical investment and reinsurance datasets, helping business leaders make informed decisions through robust data engineering … and modelling to support senior stakeholders. Build scalable solutions using Python (Pandas, NumPy) and SQL for large, complex datasets. Contribute to data pipelines and workflows on Google Cloud Platform (BigQuery) . Translate business requirements into effective data engineering solutions. Work closely with financial services experts in the asset management, investments, and reinsurance domains. Must Have Domain knowledge: Strong background … in asset management, investments, or reinsurance. Python expertise: Proven experience with data libraries (Pandas, NumPy). SQL: Advanced data manipulation and querying skills. Cloud experience: GCP/BigQuery (or similar cloud platforms). Education: Degree in Investments, Accounting, Actuarial Science, or related discipline from a UK university. Nice to Have Experience with dbt or Databricks . Background in life More ❯

What you'll do Engineer and analyse large datasets to deliver insights that shape client strategy. Build scalable solutions with Python (Pandas/NumPy), SQL, and cloud tools like BigQuery on GCP . Support senior business experts by turning raw financial data into decisions that matter. Design and run data mapping projects that automate workflows and cut through complexity. … What you bring A solid grounding in investment/financial data (securities, assets, operations experience). Python SQL Cloud: GCP/BigQuery Familiarity with dbt or Databricks Experience to reinsurance or life insurance projects To hear more about the Data Engineer contract opportunity, get in touch with Connor Smyth at Anson McCade on 020 7780 6706. Reference: AMC/ 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 ❯