Senior Data Solutions Engineer

Project description

We are looking for a versatile Data Solutions Engineer capable of supporting the complete data lifecycle, from data ingestion and engineering to analytics, visualization, and API enablement.
The ideal candidate combines strong Data Engineering fundamentals with the ability to work closely with business stakeholders, develop reporting solutions, and contribute across multiple data-related initiatives. Exposure to Data Science and AI use cases is considered an advantage.
This role requires a flexible mindset, as the engineer may rotate between Data Engineering, Data Analytics, and Data Visualization initiatives depending on project priorities.

Skills

Must have

Programming:

Python

SQL

Data Engineering:

Databricks or Apache Spark / PySpark

Cloud Platform:

Microsoft Azure

Examples:

Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure, Synapse Analytics, Microsoft Fabric

Data Processing:

ETL / ELT

Data Modeling

Data Pipeline Development

APIs:

FastAPI (preferred)

Flask / REST API development experience acceptable

Data Visualization

At least one of:

Power BI

Tableau

Looker

Similar BI platform

Nice to have

Data Science & AI

Machine Learning fundamentals

Predictive Analytics

AI/ML model integration

Statistical analysis

Advanced Data Platform

Azure Synapse

Microsoft Fabric

Azure ML

Snowflake

DevOps

Azure DevOps

Git

CI/CD pipelines