Mpower Plus UK Ltd

10+ years of relevant experience in Android application development Strong proficiency in Kotlin and/or Java , with the ability to build robust and scalable mobile applications Deep understanding of the Android SDK , along with UI design principles, design patterns, and industry best practices Experience with offline data storage , multi-threading, and application performance optimisation Familiarity with the Android open-source ecosystem , including commonly used libraries and tools for benchmarking and optimisation Proficient in Google's Android design guidelines , with hands-on experience using version control systems such as Git Strong understanding and application of SOLID principles in software development Experience working with modern Android architectures such as MVVM/MVI, along with Android Architecture Components and Jetpack libraries Hands-on experience with Jetpack Compose for building modern UI Experience working within a modularised codebase Exposure to UI testing frameworks and practices

10+ years of experience in iOS application development , delivering scalable and production-grade solutions Strong proficiency in Swift , with hands-on experience using modern development tools such as Xcode, Git, GitHub, XCTest, and XCUITest In-depth understanding of modular architecture , including frameworks-based modularisation and design patterns such as MVVM Experience in developing, maintaining, and integrating SDKs , ensuring scalability, reusability, and clear documentation for cross-team usage Solid understanding of concurrency in Swift (eg, async/await, GCD, Operations), with the ability to build efficient and thread-safe applications Proven track record of delivering high-quality, large-scale iOS applications in production environments Strong collaboration and communication skills, with the ability to work across teams to promote code reusability, inner sourcing, and reduced technical debt Advocate of engineering best practices , including Pair Programming, Test-Driven Development (TDD), Code Reviews, Continuous Integration, and Automated Testing

Proven experience in developing and delivering native iOS applications in commercial/production environments Strong proficiency in Swift , with a solid understanding of modern iOS development patterns and best practices Experience integrating mobile applications with RESTful APIs and Back End services

3+ years of experience in analytics or data engineering , with a strong emphasis on data transformation and modelling using dbt Advanced proficiency in SQL , including complex query development, performance tuning, and data modelling Solid understanding of ELT methodologies , with experience building scalable and high-quality data models in cloud data warehouses such as BigQuery Experience applying software engineering best practices to data workflows, including version control (Git), CI/CD pipelines, and reusable code frameworks Hands-on experience with workflow orchestration tools such as Airflow or Composer, along with strong exposure to cloud platforms, particularly GCP

Strong hands-on experience with streaming and Real Time data technologies , such as Kafka, Google Pub/Sub, or AWS Kinesis Solid understanding of data warehousing concepts , including relational modelling, indexing strategies, query optimisation, and platform administration Proficiency in one or more programming languages, preferably Python, Go, and SQL Experience designing, deploying, and managing production-grade data systems on cloud platforms such as GCP and/or AWS Hands-on experience with distributed data processing frameworks like Apache Spark or Apache Beam, particularly in large-scale environments

Strong experience with Infrastructure as Code (IaC) using tools such as Terraform Hands-on experience designing and managing CI/CD pipelines using Jenkins, GitLab CI, or similar platforms Practical experience with containerisation and orchestration , including Docker and Kubernetes Experience with monitoring and logging solutions , such as Cloud Logging and Dynatrace, to ensure system reliability and performance Solid understanding of security best practices , including secure configuration and compliance within cloud environments Strong automation skills using Scripting languages such as Python, Bash, or Go Excellent collaboration and communication skills , with the ability to work effectively across teams

AI Architect with 10+ years of Exp across AI/ML based agentic AI solutions and 4+ years architecting enterprise-scale Generative AI platforms in regulated environments. Strong in designing secure, scalable AI solutions and operating models across multi-cloud and hybrid estates-selecting services based on client constraints, risk posture and total cost. Proven in MLOps frameworks, delivery governance from strategy to production, compliance and enterprise standards. Generative AI & LLM Architecture: RAG systems, embeddings, prompt orchestration, tool/function calling, evaluation, safety/guardrails Cloud Architecture (multi-cloud): GCP (Vertex AI, BigQuery, GKE), Azure (Azure OpenAI, Azure ML, AKS), AWS (SageMaker, Lambda, API Gateway) AI DevOps/MLOps: CI/CD, Terraform/IaC, model & prompt versioning, LLM evaluation (LLM-as-Judge, RAGAS), monitoring/observability (Langfuse), cost optimisation Delivery Governance: programme planning, roadmap ownership, risk & dependency management, stakeholder alignment, executive reporting Data & Analytics: Data lakes/warehouses, ETL/ELT, PySpark, SQL, BI integration, data quality and lineage

Strong commercial experience developing Back End services using Golang , with PHP knowledge considered an advantage Proven expertise in designing and operating microservices-based architectures , ideally within fintech or payments environments Solid understanding of concurrent and distributed systems , including handling high-throughput transaction processing Experience working with event-driven architectures and messaging platforms such as Kafka or RabbitMQ Hands-on experience with both relational and NoSQL databases , including technologies like PostgreSQL, MongoDB, and BigQuery Practical experience deploying and managing services in containerised environments using Docker and Kubernetes

Hands-on experience working with Azure Data Factory and Databricks , including designing, deploying, and optimizing data pipelines, workflows, and compute clusters Strong proficiency in SQL , with the ability to write efficient queries, troubleshoot issues, and improve performance Experience using a variety of data ingestion techniques and frameworks to integrate data from multiple sources Solid understanding of data architecture and data modelling , with the ability to align solutions to business objectives Good knowledge of ETL processes , covering data extraction, transformation, and loading across different environments In-depth familiarity with the Azure ecosystem and Databricks platform for scalable data solutions Experience implementing CI/CD pipelines to support automated development, testing, and deployment Exposure to integrating AI-driven capabilities to enhance data processing and delivery efficiency

Proven experience implementing data solutions on Microsoft Fabric, covering ingestion, transformation, and data storage within production environments Capable of selecting the right Fabric components (eg, Lakehouse vs Warehouse) and applying tools like Data Pipelines, Dataflows, Mirroring, and Shortcuts based on practical use cases Skilled in building and managing data pipelines for both ETL and ELT processes, including workflow automation, scheduling, and operational monitoring Strong command of SQL, including T-SQL, with a focus on efficient data modelling, query optimisation, and transformation logic Experience transitioning workloads from Qlik to Fabric by converting load scripts into optimised SQL-based solutions aligned with modern data platforms Comfortable developing reporting solutions in Power BI using Fabric-integrated datasets Experience collaborating with cross-functional teams, offering guidance on Fabric and Power BI usage, and maintaining clear technical documentation

Demonstrated experience in analysing end-to-end data flows across complex data ecosystems Strong proficiency in SQL , with the ability to investigate source data, validate transformations, and understand pipeline logic Hands-on experience with BI and reporting tools , preferably Qlik Sense Solid understanding of data modelling concepts , transformation processes, and reporting dependencies Experience in creating data lineage documentation and maintaining clear technical documentation

Extensive hands-on experience in Python programming, typically within a 6-10 year range Advanced SQL capabilities, including writing efficient queries and working with high-volume datasets Practical exposure to data handling and analysis using libraries like Pandas and NumPy Proven experience in designing and developing APIs using frameworks such as Flask, FastAPI, or Django Strong grasp of data structures with the ability to optimize code for better performance Experience working in data-intensive environments, focusing on scalability and efficiency improvements Familiarity with Linux/Unix systems, along with basic Scripting for automation tasks

Recent experience in designing and delivering hybrid cloud platforms and services , leveraging Infrastructure as Code (IaC) and API-driven architectures within agile environments Ability to support and enhance domain-owned services on GCP and other cloud platforms, while identifying opportunities to introduce emerging technologies and new features Experience collaborating within engineering teams to deliver shared components, dependencies, and end-to-end solutions Strong learning mindset with a proactive approach to adopting industry best practices, tools, and cloud technologies Flexible and technology-agnostic approach , with the ability to adapt solutions based on business and technical needs Solid experience with DevOps practices and CI/CD pipelines , using tools such as Git, Terraform Cloud, HashiCorp Vault, Harness, and Jenkins Experience managing and resolving incidents and problems , particularly related to enterprise network connectivity Ability to conduct code reviews and provide constructive feedback to improve code quality and team standards Ensuring all engineering activities comply with security, governance, and control requirements

Strong experience in Google Cloud Platform (GCP) infrastructure engineering , including designing, building, and operating secure, scalable, and automated cloud solutions, particularly across compute services Proficiency in Infrastructure as Code (IaC) using Terraform, along with hands-on experience in CI/CD tools such as Jenkins, GitHub Actions, and Harness Solid understanding of cloud networking and security , including GCP networking services and tools like Cloud Armor, with a focus on implementing secure-by-design principles Experience in automation and observability , including performance optimisation, monitoring, and defining/operating against SLOs and SLIs to improve reliability Strong Scripting skills using Bash, PowerShell, or Python , with familiarity in tools such as HashiCorp Vault, Harness, and Backstage considered an advantage Proven ability to lead and mentor engineering teams , fostering collaboration across teams and driving best practices Relevant GCP certifications are preferred

Over 10 years of comprehensive QA and testing experience, including solid hands-on involvement in CCH Tagetik testing environments Proven background in validating Enterprise Performance Management (EPM) and Corporate Performance Management (CPM) platforms Functional Expertise Strong understanding of Financial Consolidation, Planning & Analysis (FP&A), budgeting, forecasting, and enterprise reporting processes Good knowledge of financial governance, audit compliance, reconciliation, and month-end/year-end close activities Technical & Testing Capabilities Skilled in preparing test scenarios, executing SIT/UAT activities, tracking defects, and coordinating testing cycles Experience performing data validation and reconciliation using SQL queries and extracted datasets Exposure to automation frameworks and performance testing methodologies would be beneficial Professional Skills Excellent communication and stakeholder engagement abilities across business and technical teams Detail-oriented with strong analytical and problem-solving skills Comfortable working within Agile, sprint-based, or iterative project delivery environments

Extensive expertise across F5 BIG-IP technologies including LTM, DNS/GTM, APM, and Advanced WAF. Strong practical experience with CI/CD tools such as Jenkins and version control platforms like GitHub. Hands-on knowledge of F5 automation and orchestration capabilities, particularly Declarative Onboarding (DO) and Application Services 3 Extension (AS3). Solid Scripting and automation capabilities using Python. Experience integrating enterprise platforms and building scalable automation workflows. Familiarity with the AppViewX ADC+ ecosystem and related automation tooling. Strong understanding of networking concepts including TCP/IP, routing protocols, VLANs, and Firewall connectivity. Exposure to cloud-native and hybrid infrastructure environments including IaaS and container-based platforms. Knowledge of both on-premise datacentre environments and modern cloud deployments. Understanding of operational resilience, governance, and security best practices. Experience working within Agile environments alongside DevOps and CI/CD practices. Proficiency with Jira and other delivery management or DevOps collaboration tools.