Data Solutions Developer

• Design, develop, and implement scalable, secure, and efficient application integrations.
• Collaborate with architects, senior developers, managers, and business stakeholders to gather requirements, define technical solutions, and ensure alignment with organizational objectives.
• Implement efficient processes for data integration, extraction, transformation, and loading to ensure seamless connectivity between systems.
• Troubleshoot and resolve integration issues, performance bottlenecks, and data inconsistencies.
• Create and maintain clear and comprehensive documentation, including integration workflows, configuration details, and error-handling processes.
• Adhere to best practices in code reusability, maintainability, and performance optimization.
• Leverage tools and processes for source control, continuous integration, and deployment to maintain high-quality delivery pipelines.
• Participate in code reviews, contribute to coding standards, and drive continuous improvement initiatives.
• Provide knowledge sharing and support to colleagues by offering training or upskilling in integration technologies where appropriate.
• Stay informed on industry trends and advancements in integration and data management technologies.

Key Responsibilities

• Bachelors/Post graduate degree.
• Proven experience in a relevant role, such as Integration Developer, Data Developer, or similar.
• Hands-on experience designing and building integrations with tools and technologies such as Logic-based application workflows, Event-driven architecture and message brokers, Cloud-based integration platforms and serverless functions, Data integration and ETL tools.
• Strong understanding of RESTful APIs, JSON/XML data formats, and integration patterns.
• Familiarity with CI/CD pipelines, version control systems, and DevOps principles.
• Experience delivering/Contributing to technical documentation such as High-Level Design (HLD) and Low-Level Design (LLD).
• Knowledge of Agile methodologies and working within Agile teams.
• Excellent analytical and problem-solving skills.
• Ability to prioritize tasks effectively to meet project deadlines.
• Strong communication and collaboration skills, with the ability to work independently and within a team.
• A growth mindset with a willingness to learn and explore new technologies independently.

• Hands-on experience with Microsoft Azure Integration tools (e.g., Logic Apps, Service Bus, Event Grid, Functions, or Data Factory).
• Understanding of enterprise integration patterns and familiarity with event-driven architectures.
• Knowledge of data quality, master data management, or metadata management concepts.
• Experience working with modern API management platforms.
• Exposure to Agile frameworks, such as SAFe Agile, Scrum, or Kanban.
• Knowledge of security principles for data transmission and integration workflows.
• Relevant certifications in integration technologies, cloud platforms, or DevOps practices (e.g., Microsoft Azure).
• Practical experience using Python for integration adapters, Azure Functions, automation, or testing.
• Working knowledge of Azure API Management (APIM), including policies, products, subscriptions, security, and API versioning.
• Practical awareness of modern API and service security, including Microsoft Entra ID, OAuth 2.0, Azure Key Vault, and role-based access control (RBAC).
• Awareness of modern lakehouse concepts and integration with layered data platforms, including Delta Lake and raw/curated data layers.
• Exposure to Spark / Databricks and PySpark or Spark SQL for collaborating with data engineering teams and troubleshooting end-to-end data flows.
• Experience with automated unit/integration testing, operational monitoring, alerting, runbooks, retries, and dead-letter handling for reliable integrations.
• Hands-on awareness of modern CI/CD and environment promotion using Azure DevOps or GitHub Actions.
• Awareness of infrastructure-as-code approaches such as Bicep or Terraform and experience modernising legacy ETL or middleware solutions into cloud-native integration patterns.

Skills, Knowledge & Expertise

• Hybrid Working - Minimum of 5 days per month in the office
• 10% Performance related bonus
• 30 Days holiday and maximum of 8 public holidays (pro-rata)
• Sick pay
• 4 Discretionary Christmas Closure Days
• Contributory pension scheme
• Life Assurance cover
• Service time - 3 Volunteer days per year
• Free onsite parking & Bike racks
• Annual leave purchase scheme - up to a maximum of 10 days (subject to national minimum wage requirements)
• Student Discount (access to Totum, Unidays & Student Beans)
• CycleScheme
• TechScheme
• Opportunities for formal training and professional certification
• Free access to Linkedin Learning
• Free access to Future Learn short courses
• Potential for internal promotion and advancement

Benefits