Job Description

Role Overview: Senior Data Engineer

As a

Senior Data Engineer

, you will be responsible for designing, developing, and operationalizing advanced data platform components. You will work within

cross-functional agile pods

, closely collaborating with architects, technical leads, and client stakeholders to deliver scalable and secure data solutions.
This is a

hands-on engineering role

requiring strong technical skills, a deep understanding of modern data architectures, and experience in delivering production-grade solutions in cloud environments -- particularly within

Microsoft Azure

.

Key Responsibilities

Design and build robust

data pipelines, models, and integrations

aligned with program objectives.
Implement data platform components using:

Microsoft Fabric

,

Azure Data Factory

,

Azure Synapse

,

ADLS

,

Microsoft Purview

,

Profisee

,

Erwin Mart

, and

Terraform

.
Develop data transformation and automation solutions using

Python

,

SQL

, and

Notebooks

.
Establish and maintain

CI/CD pipelines

using

Azure DevOps

for streamlined deployment and testing.
Support modernization of legacy data infrastructure into a

scalable, cloud-native platform

.
Apply best practices in

data governance

,

metadata management

, and

Master Data Management (MDM)

.
Collaborate with stakeholders to resolve technical challenges and meet tight delivery timelines.
Conduct performance tuning, validation, and testing of data pipelines and components.
Maintain clear documentation for all data processes, configurations, and architectures.
Contribute to ongoing troubleshooting, optimization, and support activities.

Required Skills & Experience

7+ years

of professional experience in

data engineering

or

data platform development

.
Deep expertise in:

Python

and

SQL

for data transformation and automation.

Azure Data Factory

,

Synapse Analytics

, and

Azure Data Lake Storage (ADLS)

.

Microsoft Fabric

for data integration, transformation, and analytics.

Microsoft Purview

for data governance and cataloging.

Profisee

for Master Data Management (MDM).

Erwin Mart

for data modeling and metadata management.

Terraform

for Infrastructure as Code (IaC).

Azure DevOps

for CI/CD pipelines and release automation.
Strong understanding of

data governance

,

metadata standards

, and

regulatory compliance

.
Experience working on

large-scale, mission-critical data platforms

in enterprise or public sector environments.
Proven ability to work in

client-facing roles

, handling multiple stakeholders.
Excellent

problem-solving

,

debugging

, and

communication skills

.
Availability to

start immediately

for a high-visibility, short-term project.