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Posted 19 Aug 2026

Software Engineer - Data Engineer

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Posted
19 Aug 2026

About the role

DUTIES:

·Help to manage the plannning and the coordination of the Data Engineering Team

·Support the coordination of the activities with Suppliers

·Support troubleshooting and performance tuning

·Actively participate to meetings and produce minutes, send reminders to activity owners

·Understand and contribute to define solutions to satisfy the requirements, requests, and needs of Data Management & Analytics Team

·Support the design of data solutions, defining effort, costs, governance and compliance with Data Management Policy and Privacy regulation

·Support to define, develop, test and release ETLs, Data Integration, jobs and procedures of data updates of the local DWH and Datamarts

·Document all new developments or changes, making the documentation available in the defined repository

·Interfacing and collaborating with various stakeholders and suppliers

·Ensure development cycle complies with project phases, and all stakeholders are updated

·Collaborate with other Depts to ensure information accessibility and data quality

·Contribute to the analysis of business processes that generate data acquisition, identifying any critical issues and areas for improvement

·Promptly report any actual or potential data risks, such as breaches, quality impacts, loss of relevant info, data viz displaying misleading info etc.

KEY SKILL AREAS & KNOWLEDGE REQUIRED:

·Strong knowledge of Microsoft Office suite

·Deep Azure services knowledge including compute, networking, storage and databases

·Good ability to manage Azure DevOps and CI/CD

·Proficiency in Azure Synapse and Databriks

·Strong knowledge of advanced scripting in Powershell, Python and Bash

·Good knowledge of Microsoft Fabric, in particular PowerBI

·Basics of Microsoft PowerAutomate

·Proficiency in SQL in its various versions

·Strong knowledge of databases

·Good knowledge of SQL Server

·Understanding and ability to manage ETLs

·Good knowledge of Data modeling and Architectures

·Good understanding of Big Data context and technologies

·Basic Security skills

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