Senior Data Engineer

Role Overview

We’re seeking a Senior Data Analyst who combines strong analytical insight with hands-on data engineering skills. You will design and maintain data pipelines, optimize data models, and develop reporting solutions that enable reliable analytics and governance at scale.

What You Will Do

Build, maintain, and optimize data pipelines and ETL/ELT processes to support enterprise data products and analytics. Translate business requirements into data models, metrics, and visualizations that drive decision-making.

Why It Might Be a Fit

Proven experience of 4-7 years in data analytics or data engineering roles with end-to-end data pipeline exposure. Strong proficiency in SQL, data modeling, and relational/non-relational database design.

Requirements

• Proven experience of 4-7 years in data analytics or data engineering roles with end-to-end data pipeline exposure
• Strong proficiency in SQL, data modeling, and relational/non-relational database design
• Experience with ETL tools and data orchestration frameworks (e.g., Azure Data Factory, Databricks, Airflow)
• Proficiency in Python and libraries such as Pandas or NumPy
• Experience building dashboards and visualizations in Power BI or Tableau
• Familiarity with data governance, metadata management, and data cataloging principles
• Excellent analytical problem-solving and communication skills
• Comfortable working independently while collaborating across teams and time zones

Benefits

• equal opportunity and diversity
• commitment to equal opportunity and diversity