Data & Integration Engineer (AI & Automation)

Alarm Communications Limited

IndiaremotePosted 15 days ago
A

Skill Required

Data-EngineerIntegration-EngineerETL-DeveloperAPI-DeveloperBusiness-Intelligence-DeveloperSenior-Data-Integration-EngineerAI-ML-Integration-EngineerData-Integration-LeadAI EngineerData EngineerautomationAIEngineeringanalyticaldevelopingObservabilityPower BIdesigningbuildingdesignOAuthCloudAPIsETLSQLandFulltime

Key highlights

  • T-Tech is a growing UK-based Managed Service Provider (MSP) serving accountancy, financial services, and asset management sectors.
  • The role focuses on automation, data, AI, and operational excellence.
  • It is a hands-on role delivering practical business outcomes through robust engineering and automation.
  • Key requirement: proven experience building and supporting API integrations in production environments.
  • Key benefit: opportunity to influence the development of T-Tech's data, integration, and automation capabilities.
  • The position involves working with modern Microsoft technologies, automation tools, and AI platforms.

Role overview

T-Tech is a growing UK-based Managed Service Provider (MSP) delivering technology solutions to organisations within the accountancy, financial services, and asset management sectors. The company is investing heavily in automation, data, AI, and operational excellence and is seeking a Data & Integration Engineer to help drive that journey. This is an exciting opportunity for someone who enjoys solving complex business problems through data, integrations, automation, and modern cloud technologies. As the Data & Integration Engineer, you will be responsible for designing, building, and maintaining integrations between core business systems, improving data quality, automating processes, and developing reporting solutions that support business decision-making. The role is hands-on, focused on delivering practical business outcomes through robust engineering and automation rather than pure strategy or consultancy work.

Responsibilities

  • Design, build, and maintain API integrations between business systems.
  • Create reliable automated workflows and synchronization processes.
  • Develop monitoring, alerting, and reconciliation processes to ensure integrations remain operational.
  • Identify and resolve data quality issues across multiple systems.
  • Support the development of a centralised data warehouse and reporting environment.
  • Build dashboards and reports that enable better business decisions.
  • Automate recurring operational and finance processes.
  • Work directly with business stakeholders to gather requirements and deliver solutions.
  • Build AI-assisted workflows where they provide measurable business value.
  • Produce clear technical documentation and maintain supportable solutions.

Requirements

  • Integration & API Development: Proven experience building and supporting API integrations in production environments.
  • Integration & API Development: Strong understanding of REST APIs, OAuth2, and Webhooks.
  • Integration & API Development: Experience managing two-way data synchronization and reconciliation.
  • Integration & API Development: Experience working with Microsoft Graph, Entra APIs, or similar vendor platforms.
  • Integration & API Development: Ability to troubleshoot real-world integration challenges and API limitations.
  • Data & Automation: Strong SQL skills including queries, joins, views, and stored procedures.
  • Data & Automation: Experience with ETL processes and data transformation.
  • Data & Automation: Demonstrated experience automating business processes from end to end.
  • Data & Automation: Experience using AI-assisted development tools responsibly within a controlled delivery process.
  • Reporting & Business Intelligence: Experience building reports and dashboards using Power BI or similar platforms.
  • Reporting & Business Intelligence: Ability to gather reporting requirements from non-technical stakeholders.
  • Reporting & Business Intelligence: Understanding of how data models support reporting and business intelligence solutions.
  • Professional Skills: Strong analytical and problem-solving abilities.
  • Professional Skills: Excellent communication and stakeholder management skills.
  • Professional Skills: Self-motivated and capable of working independently.
  • Professional Skills: Strong documentation and organisational skills.
  • Professional Skills: A practical and commercially focused approach to solution delivery.

Benefits

  • Opportunity to work with modern Microsoft technologies, automation tools, and AI platforms.
  • Influence the development of T-Tech's data, integration, and automation capabilities.
  • Exposure to a wide variety of systems, projects, and technologies.
  • Be part of a collaborative and growing technology business that values innovation and continuous improvement.

Additional details

  • Originally posted on Himalayas.
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