Offer summary

Qualifications:

Strong experience with Microsoft Azure data ecosystem., Proficiency in Python for data engineering and automation., Hands-on experience with Databricks and Azure Data Factory., Demonstrated ability to build and manage efficient ETL workflows and data pipelines..

Key responsibilities:

Design, develop, and deploy data pipelines and ETL workflows using modern cloud tools.

Deliver high-quality data engineering solutions in alignment with project timelines.

Contribute to the delivery of cloud-first data strategies and scalable data architectures.

Collaborate closely with cross-functional teams to ensure data solutions meet business needs.

Job description

@ Team Panthr

Expect the unexpected!

We are the first zero-BS talent matchmaker. Empowering individuals through their job seeking journey whilst finding the perfect candidate that fits not only a role but a company vision.

From start to finish, we focus on making the recruitment process smooth and positive for everyone involved.

With more than 15 years of experience in the field, we make use of real data insights, professional expertise and technology. Although we offer worldwide service, our feet are always on the ground and trust is at the heart of what we do, built on transparency and a genuine commitment to seeing you succeed.

Meet our client

Our Client is CONFIDENTIAL

About The Role

A globally recognised technology company is seeking an experienced Senior Data

Engineer to support the delivery of several key data and cloud transformation projects.

This role requires hands-on technical capabilities in Azure-based data services, ETL

development, and collaborative engineering in a fast-paced project environment.

Your Responsibilities

Design, develop, and deploy data pipelines and ETL workflows using modern cloud tools.
Deliver high-quality data engineering solutions in alignment with project timelines.
Contribute to the delivery of cloud-first data strategies and scalable data architectures.
Collaborate closely with cross-functional teams to ensure data solutions meet business needs.

About You

Strong experience with Microsoft Azure data ecosystem.
Proficiency in Python for data engineering and automation.
Hands-on experience with Databricks and Azure Data Factory.
Demonstrated ability to build and manage efficient ETL workflows and data pipelines.
Proven track record of delivering complex data projects in collaborative team settings.
Strong analytical mindset and a proactive approach to solving data challenges.
Ability to work independently and as part of a high-performing engineering team.
Team-oriented with excellent communication and interpersonal skills.
Self-motivated with a results-driven approach to data delivery.
Capable of handling multiple priorities and working under pressure.

Required profile