Azure Data Engineer
3 days ago
About the Role
We are looking for an experienced
Azure Data Engineer
to lead the design and implementation of
scalable, high-performance data solutions
on the
Azure Data Platform
.
In this role, you will focus on
integrating financial data from SAP BW and SAP BFC into Azure
, establishing a
robust and automated data foundation
that supports
advanced analytics
and
AI-driven KPI prediction models
.
You'll work closely with cross-functional teams to ensure that data pipelines, transformations, and models are reliable, secure, and optimized for performance — driving
data-driven decision-making at an enterprise level
.
Key Responsibilities
- Design and implement
ETL/ELT pipelines
to extract, transform, and load financial data from
SAP BW and SAP BFC
into Azure using
Microsoft Fabric
. - Use
Azure Functions
and
Kafka
for
streaming and event-driven architectures
, enabling near real-time data ingestion and analytics. - Deploy and manage
data processing components in Docker containers
, ensuring flexibility and scalability across environments. - Develop
optimized data models
for analytical and AI consumption; perform
data cleansing, transformation, and validation
for quality and consistency. - Implement
monitoring, alerting, and optimization mechanisms
to maintain pipeline performance and reliability. - Ensure
data governance, security, and compliance
with enterprise standards, maintaining data integrity and lineage. - Collaborate with
data science teams
to provide clean, ready-to-use datasets for AI and KPI prediction models. - Deliver
technical documentation, architecture diagrams
, and
training sessions
for platform handover and sustainability.
Ideal Candidate Profile
- Proven experience in
Azure Data Engineering
and
cloud-native data architecture design
. - Hands-on expertise in
Microsoft Fabric, Azure Functions, Kafka, and Docker Containers
. - Strong background in
data modeling (dimensional & relational)
,
ETL/ELT development
, and
performance optimization
. - Familiarity with
SAP BW and SAP BFC data structures
for seamless source integration. - Self-driven, analytical thinker with strong ownership and problem-solving ability.
- Excellent communication skills and ability to collaborate with business and technical teams.
Technical Skills
- Microsoft Fabric (MS Fabric)
- Azure Functions
- Apache Kafka
- Docker Containers
- Python
- Data Warehousing & Modeling
- Data Governance & Security
- CI/CD, GitHub
- SAP BW/BFC Data Integration
Education & Language Requirements
- Bachelor's degree in
Computer Science, Information Technology, or Data Engineering
(Master's preferred). - English proficiency:
Bilingual (Fluent in written and spoken English).
Why Join Us
- Be a part of a
high-impact enterprise data transformation project
. - Work with
cutting-edge Azure technologies
and
AI-driven analytics platforms
. - Collaborate with
global teams
in a dynamic, forward-thinking environment. - Opportunity to influence the
future of enterprise financial data analytics
.
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