Lead Data Engineer, AI & Data Pipelines Architect

Lead Data Engineer, AI & Data Pipelines Architect

Full-Time 63000 - 77000 Β£ / year (est.) On-site
Keka Technologies Private Limited

At a Glance

  • Tasks: Design and maintain scalable data pipelines while collaborating with a talented team.
  • Company: Keka Technologies, a forward-thinking company in the tech space.
  • Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a dynamic team and elevate your career in a supportive environment.
  • Why this job: Lead innovative projects and shape the future of data engineering.
  • Qualifications: 7+ years in data engineering with strong skills in Apache Spark and cloud platforms.

The predicted salary is between 63000 - 77000 Β£ per year.

Keka Technologies Private Limited is seeking a Lead Data Engineer to design, build and maintain scalable data pipelines.

You will collaborate with data scientists, software engineers and product managers to deliver robust data solutions.

The role requires 7+ years in data engineering, including leadership, and strong expertise in Apache Spark and Azure Data Factory, with hands-on cloud experience across Azure/AWS/GCP.

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Lead Data Engineer, AI & Data Pipelines Architect employer: Keka Technologies Private Limited

As a Market Data System Developer at our London office, you will be part of a dynamic and innovative team dedicated to delivering high-quality market data solutions. We pride ourselves on fostering a collaborative work culture that encourages professional growth and development, offering opportunities to engage with cutting-edge technologies and industry-leading practices. Our commitment to employee well-being is reflected in our supportive environment, competitive benefits, and the chance to make a meaningful impact within the financial sector.

Keka Technologies Private Limited

Contact Details:

Keka Technologies Private Limited Recruitment Team

We think you need these skills to ace Lead Data Engineer, AI & Data Pipelines Architect

Python
Communication Skills
Data Engineering
SQL
Problem-Solving Skills
ETL/ELT Processes
Data Warehousing