Azure Data Engineer

As an Azure Data Engineer you can expect to...

Design, build, and maintain

data engineering solutions

on

Microsoft Azure and Fabric

(Lakehouse, Warehouse, Data Factory, Synapse Analytics, Dataflows, Eventstreams).

Coordinate

sprints, daily stand-ups, and retrospective meetings

as part of Agile delivery.

Collaborate with business and technical teams to

analyze, document, and validate requirements

Perform

source system analysis

and identify appropriate

data ingestion and integration strategies

for both

batch and streaming

pipelines.

Develop and optimize

ETL / ELT solutions

using Azure Data Factory pipelines, Synapse pipelines, or Fabric Data Pipelines.

Leverage services such as

Azure Data Lake Storage (ADLS), Synapse Analytics, SQL Database, Azure Functions, Event Hub, Synapse Spark, and Microsoft Fabric

(Lakehouse, Warehouse, Notebooks, Pipelines) for data integration and transformation.

Write and optimize

SQL, Python, and PySpark code

for large-scale data processing.

Implement data ingestion frameworks,

incremental / delta loads

, and medallion architecture patterns (Bronze / Silver / Gold).

Connect and integrate

diverse data sources

(SQL, Oracle, ODBC, ERP, CRM, APIs, flat files, streaming events) into Fabric and Azure ecosystems.

Ensure

data quality, security, and governance

in alignment with enterprise standards.

Continuously

research and adopt efficient methods

for scalable data movement, transformation, and storage.

Work independently and as part of a

cross-functional team

to deliver high-quality solutions.

You're great at...

Working in Microsoft Fabric and Azure Data Services to design, build, and optimize enterprise-grade data pipelines

Modern data engineering, advanced SQL / Spark skills, and working collaboratively in Agile environments

Solving complex problems with creative solutions

Learning new concepts quickly and thoroughly

Promoting the mission and Shared Values of our company

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