Data Engineer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Cayman Islands
Remote
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
The Role
Lead design, deployment, and operation of end-to-end Azure and Microsoft Fabric data solutions. Migrate on-premise estates to cloud, build lakehouses/warehouses and semantic models, develop enterprise Power BI dashboards, automate processes with Power Platform, manage relational database performance and security, and communicate platform capabilities to stakeholders.
Summary Generated by Built In

ROLE OVERVIEW

Senior Data Engineer

We are looking for a Senior Data Engineer who will own the design, deployment, and operation of end-to-end data solutions across Microsoft Fabric, the Power Platform suite, and Azure cloud infrastructure.

This role is not about maintaining pipelines — it is about being the central technical authority who digitises business processes, migrates legacy systems to the cloud, and delivers enterprise-grade intelligence at scale.

WHAT YOU WILL OWN

1

Data Architecture & Microsoft Fabric

•        Architect and manage secure, enterprise-grade data pipelines on Microsoft Fabric — from ingestion through to the serving layer

•        Design end-to-end data solutions integrating on-premise sources, Azure cloud, and Microsoft Dynamics 365

•        Establish robust data modelling layers — lakehouses, warehouses, and semantic models — within the Fabric ecosystem

•        Own the migration of legacy on-premise data structures to Azure, with zero tolerance for data loss or governance failure

•        Define data architecture standards and enforce them across all active programmes

 

2

Business Intelligence & Power BI

•        Develop and maintain enterprise-grade Power BI dashboards used by business and executive stakeholders

•        Configure secure internal and external workspace access — row-level security, publishing permissions, and data refresh governance

•        Own end-to-end data transformation pipelines that feed the BI layer — from raw ingestion to clean, performant semantic models

•        Drive cross-departmental BI adoption without compromising data integrity or governance standards

 

3

Power Platform Automation & Digitisation

•        Digitise and automate manual business processes using Microsoft Power Automate — targeting cross-departmental workflows

•        Build internal enterprise applications using Microsoft Power Apps — replacing manual, error-prone processes

•        Deploy and maintain external-facing organisational portals via Microsoft Power Pages

•        Own Power Platform governance — environment strategy, DLP policies, and connector approvals

 

 

4

Database Administration & Performance

•        Configure and maintain relational databases supporting operational software backends and ERP systems

•        Manage capacity planning, trigger logic, permissions, and indexing strategies for high-availability systems

•        Develop and own automated SQL maintenance routines to optimise query performance and minimise downtime

•        Enforce database security best practices — access controls, audit trails, and encryption at rest and in transit

 

5

Infrastructure Support & Stakeholder Communication

•        Act as the technical bridge between business stakeholders and data infrastructure — translating requirements into scalable solutions

•        Manage administrative data engineering queues — access requests, provisioning, and systemic infrastructure upgrades

•        Produce clear, structured technical documentation for all architectures, pipelines, and processes you own

•        Interface with senior leadership and department heads to communicate data platform capabilities and roadmaps

 

EXPERIENCE & CORE CAPABILITIES

  • 8+ years in data engineering — with deep, hands-on expertise in Microsoft Fabric and the Power Platform suite
  • Proven track record architecting and deploying end-to-end Azure data solutions — from ingestion to BI layer
  • Strong background in relational database administration, SQL performance optimisation, and production system management
  • Hands-on experience with Microsoft Dynamics 365 integration and enterprise data modelling
  • Demonstrated experience migrating legacy on-premise data estates to Azure — including governance and access controls
  • Excellent English communication skills — ability to translate complex technical requirements into business outcomes
  • Exposure to AI/ML tooling and automation-first data engineering practices is a strong advantage

Core Capabilities

1

Fabric & Platform Depth

You have architected production solutions on Microsoft Fabric — lakehouses, warehouses, data pipelines, and semantic models. Power Platform is not a side skill; it is how you deliver business value.

2

BI & Visualization Excellence

You build Power BI dashboards that executives trust. You understand row-level security, workspace governance, and performance optimization — not just how to drag a chart onto a canvas.

3

Data Architecture Rigour

You design systems with data quality, lineage, and governance as first-class concerns. You document your decisions and make trade-offs visible — not buried in a pipeline no one else can understand.

4

Cloud & Migration Expertise

You have migrated legacy on-premise data estates to Azure. You understand the risks — schema drift, access governance, cut-over planning — and have delivered migrations without data loss.

5

Communication & Translation

You write as precisely as you code. You gather requirements from non-technical stakeholders and produce documentation that others can operate from. English fluency and stakeholder clarity are non-negotiable.

 

Skills Required

  • 8+ years in data engineering with deep, hands-on expertise in Microsoft Fabric and the Power Platform suite
  • Proven track record architecting and deploying end-to-end Azure data solutions from ingestion to BI
  • Strong background in relational database administration, SQL performance optimisation, and production system management
  • Hands-on experience with Microsoft Dynamics 365 integration and enterprise data modelling
  • Demonstrated experience migrating legacy on-premise data estates to Azure including governance and access controls
  • Excellent English communication skills and stakeholder-facing documentation ability
  • Exposure to AI/ML tooling and automation-first data engineering practices
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The Company
148 Employees
Year Founded: 2018

What We Do

PeerIslands is an AI-native enterprise transformation partner that helps global organizations modernize by streamlining workflows and accelerating software delivery. Using its proprietary PeerAI platform, the company leverages generative AI, multi-agent orchestration, and automation. It specializes in cloud-native application modernization and data engineering, serving Fortune 100 clients in industries such as BFSI, healthcare, and telecommunications.

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