1 to 25 of 154 Permanent Validation Jobs in Central London

environments -whether your background is hardware, software, or system validation. Key responsibilities: -Lead hardware, system, and software testing, including automation. -Build and maintain test rigs and frameworks for system validation and reliability. -Test mobile (LTE/Wi-Fi), cloud, and optionally video/audio features. -Collaborate across multi-disciplinary teams, translating findings into product improvements. -Document test strategies, results, and More ❯

data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and More ❯

for productivity, quality, or innovation gains. Design, code, train, and test AI models tailored to use cases (e.g., NLP, CV, RAG, forecasting, etc.). Perform effort estimation and model validation and monitor deployment success and cost-performance trade-offs. Collaborate closely with local technical leads while owning the technical delivery of AI capabilities. 2. Technical AI Leadership in Tenders and More ❯

pipelines for both batch and streaming workloads: Develop dataflows and semantic models aligned to analytics and reporting needs Implement complex transformations and performance-focused data processing logic Apply data validation, cleansing, and profiling techniques to ensure accuracy and consistency Implement access controls, data masking, and compliance-aligned security protocols Tune workloads and optimise performance across Spark, Fabric, and Azure components More ❯

the data warehouse architecture, and ensuring high quality data to power reporting, analytics and insights. Responsibilities: Lead the design, build and optimisation of the enterprise data warehouse, including sourcing, validation, ingestion and data architecture. Develop and manage automated ETL pipelines and workflows for financial datasets. Integrate data warehouse outputs with Salesforce, PowerBI, pricing platforms and other analytical endpoints. Ensure accuracy More ❯

consistency during and after migration. They will also support ongoing analytical needs and contribute to ensuring continuity of reporting in the new system landscape. Key Responsibilities Data Analysis and Validation Query, explore, and reconcile data in the data migration environment and production systems using SQL and other tools (e.g. Power BI, Python, Excel, Banner Insights). Investigate and visualise data More ❯

of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform architecture and integration patterns. Implement and maintain data validation, monitoring, and quality frameworks. Work collaboratively with cross-functional teams to translate business requirements into robust technical solutions. Mentor and support data engineers, ensuring adherence to engineering best practices. Participate More ❯

clusters, topics, and streaming pipelines. Ensure secure, reliable, and scalable data onboarding from various sources to both on-prem and cloud environments. Develop and optimize SQL queries for data validation, transformation, and integration. Data Engineering capabilities using any of the ETL in Fivetran/Snowflake/ADF/SSIS (any one) Troubleshoot and resolve issues related to data ingestion and More ❯

Provide ongoing system support, resolve issues, and perform debugging and testing. • Ensure platform stability and security across multiple environments. Data Management & Quality • Design and manage data models, queries, and validation rules to ensure integrity and reliability. • Support data migration and ensure compliance with governance standards. Collaboration & Documentation • Work closely with stakeholders, project managers, and other IT specialists to translate business More ❯

migration projects, ensuring data accuracy and completeness. Design, develop, and maintain dashboards and reports using Power BI (experience with Tableau is a plus). Perform data modeling, mapping, and validation to support business intelligence and reporting requirements. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Collaborate with cross-functional teams to identify opportunities for process improvement More ❯

company management to identify high-impact use cases for AI tools. Oversee AI/ML model development, deployment, and monitoring, ensuring scalability and robustness. Conduct data analysis, experimentation, and validation to continuously improve AI systems and outcomes. Stay up-to-date on AI/ML trends and emerging technologies to guide innovation within the firm and portfolio. Mentor and collaborate More ❯

interpret complex energy data to identify trends, inefficiencies, and opportunities. Create clear, insightful dashboards and reports using Power BI or Tableau. Ensure accuracy and completeness of data through cleaning, validation, and transformation. Collaborate with internal teams and clients to define requirements and deliver tailored analytical solutions. Provide data-driven recommendations that support operational, financial, and sustainability goals. Continuously improve data More ❯

interpret complex energy data to identify trends, inefficiencies, and opportunities. *Create clear, insightful dashboards and reports using Power BI or Tableau. *Ensure accuracy and completeness of data through cleaning, validation, and transformation. *Collaborate with internal teams and clients to define requirements and deliver tailored analytical solutions. *Provide data-driven recommendations that support operational, financial, and sustainability goals. *Continuously improve data More ❯

APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and More ❯

needs of the global landscape. Skills & Experience Required • Experience in D365 Microsoft Dynamics 365 - Sales, Service, Field Service, Marketing Experience • Experience in Development/Configuration/solutions evaluation/Validation and deployment • Hands on experience writing plugins, workflows, JavaScript’s, dialogs etc. • Excellent Analytical and Communication skills • NET, C#, JavaScript experience a plus/• Working knowledge of CRM’s interoperability More ❯

What the role entails: Some of the main duties of the Kronos Support Analyst will include: Lead configuration workshops for Kronos Time & Attendance System. Lead business engagement and data validation workshops to gain understanding of HR data and requirements for the solution. Develop and oversee new client configurations within the solution, review configuration changes and support queries raised which include More ❯

with business objectives and regulatory requirements. Drive the development of existing and new advanced Power BI dashboards and reports. Assume ownership of data within Microsoft Dynamics 365, including cleansing, validation, and reconciliation. Design scalable data models and implement robust ETL processes. Develop and maintain APIs and data interfaces to enhance system connectivity. Ownership of the Data team ticketing system, to More ❯

large enterprise systems -Experience working in an Agile environment, with familiarity in core ceremonies (e.g., sprint planning, stand-ups, retrospectives, backlog refinement) -Ability to engage directly in system testing, validation, and troubleshooting -Excellent communication skills with the ability to bridge technical and non-technical audiences -Confidence to present to stakeholders NICE TO HAVE SKILLS AND EXPERIENCE -Experience working in the More ❯

scalable Python-based ETL pipelines for market data ingestion and transformation. Build and manage cloud data lake solutions (AWS/Databricks) for structured and unstructured data. Implement data quality, validation, and cleansing routines to ensure accuracy of financial time-series data. Optimise workflows for low latency and high throughput to support research, trading, and risk functions. Collaborate with portfolio managers More ❯

Iceberg for large-scale data lake management and versioned data workflows. Collaborate with trading and engineering teams to define data requirements and deliver production-grade solutions. Implement robust data validation, monitoring, and error handling to ensure data integrity and uptime. Continuously improve latency, throughput, and scalability to support high-frequency trading environments. What You Bring 4+ years of experience in More ❯

frameworks using Java and Node.js. Develop and execute automated test suites for functional, regression, and non-functional testing (e.g., performance, scalability, reliability). Perform API testing and ensure robust validation of service integrations. Build and maintain CI/CD pipelines using GitHub Actions, Maven, and other DevOps tools. Implement Infrastructure as Code (IaC) using Terraform for consistent and repeatable environment More ❯

implement ETL workflows to manage data extraction, transformation, and loading into Teradata. Build and maintain risk models for credit, operational, and market risk analysis. Conduct data profiling, cleansing, and validation to ensure accuracy and consistency. Collaborate with stakeholders to gather requirements and deliver data-driven solutions. Perform exploratory data analysis to uncover trends and support risk mitigation. Automate reporting and More ❯

practices for data quality, governance, and platform architecture. Evaluate and implement modern tools and frameworks for managing, querying, and streaming large datasets. Build and maintain automated processes for data validation, anomaly detection, and system monitoring. Support the production environment and ensure smooth data operations. Manage relationships with external data providers and ensure alignment with business needs. What You’ll Need More ❯

focus). Shape cloud data architecture across Azure Data Lake and Synapse environments. Play a key role in the organisations transition to Microsoft Fabric . Implement robust data quality, validation, and monitoring frameworks . Work closely with business and technology stakeholders to deliver high-value data solutions. Mentor junior data engineers and support engineering standards. Contribute to Agile delivery through More ❯

teams Contribute to solution design, functional specifications, and business process mapping Assist in pre-sales activities including demo preparation, RFP responses, and solution estimations Participate in cutover planning, data validation, and hypercare support during go-lives Remain up to date with latest SAP Finance innovations (e.g. Universal Journal, Fiori apps) Actively mentor junior consultants and support knowledge development within the More ❯