Data Engineer - Candidates based in Philippines only

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delaware Philippines

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Spark Azure Databricks SAP Microsoft Fabric Analytics Factory API Rest API ETL

Job Description

Company Description

delaware International is a global company dedicated to delivering advanced solutions and services that help organizations achieve a sustainable competitive edge. Partnering with industry leaders such as SAP and Microsoft, delaware supports business transformation and ensures continuity and continuous improvement for its clients. Operating with a long-term, sustainable business model, delaware cultivates future leaders who empower clients to excel today and prepare for tomorrow. With over 1,500 professionals in 26 offices worldwide, delaware is a trusted name in business innovation and growth.


Role Description

The Data & Analytics team in DI IT is looking for a senior data engineer. We are setting up a One Data Platform to bring together data from various data sources around the business (ERP, CRM, and various other applications). The data platform is built with Databricks, and the reports with Power BI. To be able to expand, we are looking for a senior data engineer to join the team.


What are we looking for?

Must have:

• At least 8 years’ experience as a Data Engineer, ideally with Microsoft technologies

• Know your way around Azure, Databricks, Azure Data Factory, MS Fabric and Power BI

• Understand lakehouse architectures and ETL/ELT flows

• Be proficient in SQL language in all its aspects

• Have knowledge of the Python language (or Spark)

• Has experience ingesting data from a variety of data sources (SQL database, Rest API, etc.)

• Knows data modelling with facts and dimensions

• Is fluent in English, both oral and written

• Can work independently, can take up tasks without micro-management / intensive coaching

• Must be proactive, have a critical mindset and be quality-oriented


Nice to have:

• Experience in more advanced analytics cases (e.g., AI aspects, data science, etc.)

• Knowledge of other Microsoft tooling, e.g., Power Apps, other Azure components, etc.

• Experience working in international teams and contexts


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