Remote Azure Data Engineer - Data Pipeline Architect

Keka Technologies Private Limited; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Keka Technologies Private Limited is seeking an experienced Data Engineer to architect scalable data solutions and data pipelines is the focus. This role emphasizes data integrity, security, and performance across the data lifecycle.

Location: Remote. The ideal candidate has 7+ years in data engineering, strong SQL and Python/Java skills, and experience with data lakes, ETL, and Power BI to deliver insightful visualizations for stakeholders.

Qualifications

• 7+ years of experience as a Data Engineer or similar role.
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience in data engineering, ETL processes, and data warehousing.
• Strong proficiency in SQL and programming languages like Python or Java.
• Expertise in building and maintaining data lakes.

Responsibilities

• Architect and implement scalable data pipelines.
• Collaborate with cross-functional teams to define data needs.
• Ensure data integrity, quality, and security across lifecycle.
• Optimize and tune data systems for performance.
• Gather visualization requirements and deliver solutions.
• Apply DAX for data calculations and transformations.
• ETL data from diverse sources into Power BI.
• Apply best practices in data modeling.
• Create clear, effective data visualizations.
• Stay updated on data visualization trends.

Skills

Data engineering

ETL processes

Data quality

Data modeling

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Azure

SQL

Python

Java

Job description

Keka Technologies Private Limited is seeking an experienced Data Engineer to architect scalable data solutions and data pipelines is the focus. This role emphasizes data integrity, security, and performance across the data lifecycle.

Location: Remote. The ideal candidate has 7+ years in data engineering, strong SQL and Python/Java skills, and experience with data lakes, ETL, and Power BI to deliver insightful visualizations for stakeholders.