▷ 15h Left Data Platform Engineer

- Strong Fabric Experience needed
- Hybrid role

About Our Client

This large organisation plays a key role in the transport and distribution industry. With a focus on innovation and operational excellence, the company offers a supportive environment for professional growth

Job Description

Purpose of the Role

- You will be responsible for maintaining and evolving an Azure-based Microsoft Fabric Data Platform.
- You will ensure the stability, performance, and scalability of the platform and its associated data pipelines, models, and data products.
- You will help enable high-quality analysis and data-driven decision-making by ensuring the Data Platform is reliable, well-structured, secure, and responsive to business needs.

Key Responsibilities

- Collaborate with analysts, business users, and vendors to improve data delivery performance and usability.
- Proactively identify opportunities to streamline platform operations and support new use cases.
- Oversee the operation and optimisation of the Azure Fabric Data Platform, including configuration, capacity management, monitoring, security, and automation of recurring tasks.
- Design cloud-native architecture to support structured, semi-structured, and unstructured data workloads.
- Build and maintain data ingestion and transformation pipelines that ensure accurate and timely delivery of data.
- Ensure the platform effectively supports downstream analytics tools, reporting environments, APIs, and other data services.
- Ensure the data platform is secure, performant, scalable, and available to meet enterprise-grade non-functional requirements.
- Uphold standards for data security, access control, documentation, and data quality monitoring.
- Contribute to the implementation of the organisation's Information Governance Framework.
- Promote architectural standards, reusable patterns, and best practices across teams.
- Provide training and support to end-users on platform capabilities, reports, and data interpretation, fostering a data-driven culture across the organisation.

The Successful Applicant

TECHNICAL SKILLS & EDUCATION REQUIRED

- A degree in a relevant field such as Data Science, Computer Science, Information Technology, Mathematics, or Engineering, or equivalent experience.
- 5+ years of technical experience designing, building and managing BI and data product workloads.
- Demonstrated proficiency with modern data platform skills:
- Programming languages: Python, SQL (and variants), PowerShell, Power Query
- Data Ingestion: Azure Data Factory, SQL Server Integration Services, Databricks, Apache spark, or equivalent tooling.
- DevOps: Enterprise level CI/CD pipelines, Infrastructure-as-Code behaviours, Azure DevOps
- Build secure, resilient data integration for APIs , event-driven, and batch ETL/ELT process across ERP , IOT and SaaS application
- Demonstratable knowledge of data governance, metadata management and data quality frameworks.
- Demonstrable understanding of modern cloud and big data technology.
- Experience in Data Warehouse migrations.
- Demonstrated experience with Microsoft Azure technologies including:

- Azure Fabric

- Azure SQL Server

- OneLake

- Fabric Data Factory

- Azure Purview

- Azure DevOps

- Apache Spark

- Experience with ITIL, Agile and DevOps methodologies.
- Strong analytical and entrepreneurial problem-solving skills, with experience in troubleshooting and optimising data product workloads.
- Excellent written and verbal communication skills for collaborating with cross-functional teams and conveying technical concepts to non-technical stakeholders.

What's on Offer

- Competitive salary
- Permanent role with long-term career prospects.
- Opportunities to work on cutting-edge data technologies.
- Supportive company culture with a focus on innovation.
- Additional benefits to be confirmed during the hiring process.

If you are passionate about data engineering and want to make a significant impact in the transport and distribution industry, apply now

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