1 to 25 of 987 Validation Jobs in the UK

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 ...

Experience Participation in migrating data platforms (e.g., PostgreSQL or other cloud RDBMS) into a data warehouse like Snowflake with minimal disruption and strong data validation controls. Change & Adoption Support Experience supporting business teams during platform transitions (e.g., training, documentation, user onboarding, issue resolution). Best Practice Contribution Experience contributing ...

projects Experience writing user stories and acceptance criteria Experience with Jira and Confluence Strong documentation and communication skills SQL skills for data profiling and validation Understanding of Agile delivery frameworks Nice to Have Experience with Databricks, Snowflake or modern data platforms Knowledge of data modelling and metadata management Experience ...

pipelines. •Strong programming skills in PySpark, SQL, Python. •Experience implementing medallion architecture, delta lakes, and metadata‐driven pipelines. •Hands-on experience with DQ frameworks, validation rules and reconciliation logic. •Ability to integrate Azure/Fabric datasets with Power BI semantic models and dashboards •Experience building reusable datasets for Client domains ...

teams in delivery environments. Strong experience within Agile/Scrum teams, including writing user stories. Hands-on experience with data profiling and data validation activities. Familiarity with regulatory compliance , particularly in ESG-related contexts. Preferred Skills & Experience Exposure to management information (MI) and analytics platforms . Experience with Azure-based ...

solutions, guiding the model development life cycle from proof‐of‐concept to deployment. Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Encourage collaboration across business units, embedding AI solutions into processes and supporting integration with technology teams. Monitor industry trends ...

reproducible and costs under control Integration & orchestration — Designing queue-based microservices that coordinate work across the platform reliably and at scale Data quality — Building validation, confidence scoring, and tooling that helps the team trust the data we produce Structured data pipelines – ETL on structured financial data and building downstream data ...

Google Cloud), or domain-specific technologies. Project Portfolio: Demonstrated experience working on complex customer engagements, including solution design, proof-of-concept execution, and technical validation, with a portfolio showcasing successful outcomes and strategic insights. Technical Workshops or Training: Participation in advanced workshops or training focused on presales strategies, emerging technologies ...

Oracle-specific features in PostgreSQL Data migration best practices: Experience with migration tools such as Oracle Data Pump, GoldenGate, custom ETL scripts, and data validation strategies Migration planning: Ability to plan and execute migration projects, including downtime management, data consistency verification, and rollback strategies Cross-platform optimisation: Knowledge of leveraging ...

allocations, invoicing, etc. Test PeopleSoft batch processes (AE, BI, AP, AM jobs), workflow routing, security roles, and financial configuration setups. Perform end-to-end validation of financial integrations (banking, payment gateways, ERP to downstream systems). Support PeopleTools upgrades, PUM updates, and customization validation. Manage and coordinate System Testing, System ...

maintain CI/CD pipelines for software, data, and ML workflows using tools such as Azure DevOps, Git, and Jenkins. Automate model training, testing, validation, and deployment using MLflow and Databricks Jobs. Automate infrastructure provisioning, environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python ...

implementation Collaborate with business stakeholders, project managers, and technical teams to ensure requirements are accurately translated into technical solutions Conduct technical reviews, design validation, and risk assessments for proposed solutions Provide guidance on technology selection, integration patterns, cloud architecture, and system scalability Ensure solutions comply with security, regulatory, and compliance ...

structure of data in preparation for Extract Transformation and Load Design and implement data pipelines and processes based on business requirements Write ETL data validation and data reconciliation queries Define high level and low-level design of a data platform to ensure robustness e.g., restorability, traceability, ease to support, etc. ...

modern programming languages (e.g., JavaScript/TypeScript or similar). Good understanding of RESTful APIs, HTTP methods, request/response structures, and API validation techniques. Experience working with CI/CD tools (e.g., Jenkins, Azure DevOps, GitLab CI, or similar) for automated test execution. Familiarity with version control systems such ...

from proof‐of‐concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics : Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration : Act as a bridge between the Data Science team and other business units, fostering integration ...

Expert knowledge of MDM architecture patterns, including registry, consolidation, coexistence, and centralised models. Data modelling (conceptual, logical, canonical models) Data quality frameworks (profiling, cleansing, validation rules) Matching & survivorship logic, entity resolution, hierarchy management Metadata management, reference data management, and stewardship workflows Strong proficiency with cloud-native data services (Azure Purview ...

dashboards and reports using Power BI Extract, manipulate, and analyse data using SQL and Python Communicate findings clearly to non-technical audiences Support data validation, testing, and deployment processes across different environments (Development, Test, and Production) Collaborate with cross-functional teams to improve data quality and reporting processes Profile ...

documentation) Excellent SQL engineering and data modelling (star/snowflake schemas, best practices) Experience designing and delivering end-to-end data pipelines (ingestion, transformation, validation) Familiarity with CI/CD pipelines (Azure DevOps or similar) Experience working in cloud-based data environments (Azure or AWS) Strong communication skills and ability ...

analytics and reporting across key finance areas, including Accounts Payable, Cash Accounting, Commercial Services and Operations. Key responsibilities include: Performing SQL‐based data exploration, validation and transformation to support finance analytics. Using Python, including Pandas and Numpy, for deeper analysis, automation, data profiling and insight generation. Building and maintaining Power ...

safeguard sensitive information. Ensure compliance with relevant data privacy and protection regulations, such as GDPR. Data Quality Assurance ▪ Implement data quality checks and validation processes within the pipelines to ensure accuracy, completeness, and consistency of data. Collaborate with data governance, architects, system owners and end users to ensure quality issues ...

join our product engineering teams. This role focuses on ensuring the quality of our software platforms through structured testing, investigation of issues, and validation of new features prior to release. The role sits between Support and Development, helping to reproduce issues, verify fixes and perform regression testing across our product ...

data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures Monitor data pipelines and ensure timely data ...

requirements traceability. Work closely with Enterprise and Solution Architects to shape optimal solutions and operating models. Support integration design, testing, and end-to-end validation activities. Provide mentorship, oversight, and quality assurance to BAs across the team. Act as a point of escalation for requirements, scope, or traceability issues. Ensure ...

processes, and prepare and present test results, coverage metrics and assurance evidence for internal and external reviews. Contribute to continuous improvement of verification and validation processes, tools and best practices. Candidate profile Bachelor’s or Master’s degree in Computer Science, Electrical Engineering or a related field, or equivalent experience ...

world applications Data strategy and model training Lead the acquisition, processing and governance of large structured and unstructured datasets Apply exploratory data analysis and validation techniques to improve training pipelines Ensure data privacy and governance standards suitable for financial services Engineering best practices Contribute to DevOps and MLOps pipelines Implement ...