Data Scientist Services - Managed Services

Position Purpose

Design, operationalise, and continuously improve scalable, data driven managed services and reporting solutions for enterprise customers, with a primary focus on Microsoft Fabric and Power BI, ensuring reliable, repeatable, and governed analytics services.

Position Profile

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  Department:
  Managed Services
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  Line of Business:
  Services

Key Responsibilities

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  Design and deliver Microsoft Fabric and Power BI solutions (Lakehouse, Data Engineering, Real-Time Analytics) that meet agreed requirements for performance, scalability and supportability[NP1.1].
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  Implement scalable data models and semantic layers that standardise definitions and enable consistent reporting across customer stakeholders.
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  Enable both real-time and batch analytics capabilities aligned to priority customer use cases, with clear acceptance criteria and operational handover.
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  Define and maintain standard data models and measurement frameworks that enable automated ingestion, calculation and reporting from nominated customer system sources (e.g., ITSM), reducing custom build effort across customers.
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  Design reusable service components (datasets, semantic models, report templates, runbooks) that can be deployed across multiple customers with minimal rework.
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  Execute and continuously improve daily, weekly and monthly run activities to maintain service reliability, data quality and reporting accuracy, including:
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    Monitoring, triage and optimisation of data pipelines
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    Dataset refresh management and performance tuning
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    Reporting validation and proactive stakeholder engagement
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    Cost, capacity and usage optimisation
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  Deliver automation that reduces manual effort, improves consistency and increases deployment confidence, using:
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    Microsoft Fabric pipelines, Dataflows Gen2 and notebooks
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    Power BI deployment pipelines
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    Azure-native automation (Logic Apps, Functions, DevOps pipelines)
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  Contribute to Infrastructure-as-Code and CI/CD practices for data environments to support repeatable builds, controlled releases and auditability.
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  Define and communicate clear in-scope vs out-of-scope boundaries for managed analytics services to support consistent delivery and change control.
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  Implement and maintain governance controls across data platforms to meet agreed security and compliance requirements, including:
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    Access control and role-based access (RBAC)
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    Data lineage, auditability and operational documentation
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    Alignment with security baselines and platform standards
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  Identify, record and reduce operational and data risks through proactive monitoring, issue management and continuous improvement actions.
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  Design or contribute to a control plane for multi customer data management.

Additional Responsibilities

a. Uphold and adhere to Data#3's core values, guidelines, policies and procedures.

b. Represent Data#3 in a professional manner and provide excellent customer service to our internal and external customers.

c. You are required to perform your duties safely without risk to your own health and safety or the health and safety of others.

d. You are required to be flexible to work in additional roles or capacities or take on additional or varied duties, as may be assigned to you, that you are skilled and capable of performing.

Data#3 may alter your position, position description, position title, location and responsibilities in accordance with changing business needs and priorities.

As part of your position, in addition to (c) above, you:

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  may be required to perform your duties off-site, including at customer, vendor/partner and supplier sites, which require, as a condition of entry, you to hold a National Police Certificate;
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  may be responsible for accessing internal and third party computer systems containing highly sensitive confidential corporate and personal information;
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  may be engaged in capacities that require Data#3 to have the highest degree of confidence that you will perform your duties with a high level of honesty and integrity.

Accordingly, the satisfactory completion of a National Police Certificate is an inherent requirement of your position.

Requirements

Key Experience, Skills & Abilities

Experience

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  A minimum of 5 years’ experience within a data engineering, analytics or data science role, preferably within a medium to large ICT organisation.
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  Experience in effectively resolving technical issues and contributing to solution outcomes.
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  Experience following technical processes, standards, and compliance requirements.
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  Experience working in environments governed by SLAs and meeting service expectations.
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  Applied knowledge and experience with Microsoft Fabric (Lakehouse, pipelines, notebooks, Real-Time Analytics), Power BI (data modelling, DAX, governance, performance tuning), Azure data ecosystem (ADF, Synapse, Entra ID, storage, networking), automation, DevOps, and CI/CD for data platforms, Azure Lighthouse and multi-tenant management models, ServiceNow data types and exports, ITSM integration for operational workflows.
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  Experience designing or supporting Managed Services, preferably within or alongside a Managed Services Provider (MSP).
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  Proven ability to design scalable, repeatable solutions across multiple customers.
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  Experience interpreting technical requirements, configuring, implementing and/or supporting solution delivery.
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  Understanding of technical standards, best practices, and product/service capabilities.
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  Experience using business systems, tools, or ticketing platforms.
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  Highly developed technical aptitude.

Skills

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  Highly developed critical thinking, analytical and problem resolution skills.
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  Accurate and concise documentation and technical record keeping skills.
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  Experience working both autonomously and within a team environment.
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  Integrity in dealing with personnel, customer and supplier issues.
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  Effective oral and written communication skills to ensure clear and accurate communication with all internal and external stakeholders, at all organisational levels.
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  Highly developed organisational and time management skills, with the ability to manage conflicting priorities while maintaining a high level of attention to details.
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  Highly developed computer literacy with proficiency across the Microsoft Office suite.
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  Highly developed interpersonal skills.

Key Qualifications, Certifications & Training

Qualifications

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  Background with Statistics, Engineering or Computer Science or Fabric Certification or Microsoft Fabric Analytics Engineer Associate (DP-600) or Microsoft Azure Data Scientist Associate (DP-100) or Microsoft Power BI Data Analyst Associate (PL-300) or Azure AI Engineer Associate (AI-102)