Data Engineer

We are seeking a highly skilled Data Engineer to engineer and deliver domain-

aligned data products within a centrally governed Microsoft Data Platform.

Working within established standards, CI/CD templates, and defined data contracts,

the Data Engineer will modernize SQL-driven legacy workloads and re-engineer

them into scalable Spark-based Lakehouse datasets and semantic models.

The focus is on execution: extracting embedded business logic from on-prem SQL

systems, implementing robust data pipelines, and delivering reliable, high-quality

data products that support analytics, reporting, and AI use cases.

Data products are treated as managed assets — version-controlled, tested,

monitored, and continuously improved to meet defined quality and performance

expectations.

Key Responsibilities

SQL Modernization & Legacy Refactoring

 Maintain and enhance existing SQL Server workloads (stored procedures,

views, ETL processes).

 Design and optimize semantic models in Fabric for enterprise analytics.

 Engineer star schemas and dimensional models for high-performance Power

BI reporting.

 Refactor legacy SSAS logic into scalable semantic layers.

 Ensure validated KPIs and business rules are consistently implemented.

 Balance performance, usability, and maintainability in semantic design.

Data Product Ownership

 Engineer data products that are reliable, discoverable, and consumption

ready.

Core skills and knowledge  7+ years of hands-on experience in data engineering within SQL-heavy or

enterprise data environments.

 Hands-on experience with Spark (PySpark preferred) for distributed data

transformation, Python notebooks.

 Solid understanding of dimensional modeling, including star schema and

Kimball-based methodologies.

 Experience in Azure Data Factory, Databricks, MS Fabric, ADLS Gen2 ,

Databricks , Spark , Airflow, purview

Desirable Skills  Any financial services / banking / capital market experience

Leadership and

Communication Skills

 Excellent facilitation and presentation skills with the ability to lead architecture

forums and stakeholder meetings.

 Strong influencing skills to drive adoption of architectural standards and modern

technologies.

Preferred Qualifications  Microsoft Certifications (Azure Data Engineer, Fabric).

 Experience in distributed data processing environments.