Cloud Data Engineer

Your newpany
A reputable telmunicationspany is seeking a hands-on Cloud Data Engineer that can hit the ground running.

Your new role
My client is seeking a skilled and motivated Cloud Data Engineer to join their dynamic team in the mobile telmunications industry.

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data pipelines to support the extraction, transformation, and loading (ETL) of diverse data sets.
Your expertise will contribute to enhancing data quality, ensuring efficient data processing, and enabling data-driven decision-making across the organisation.

Responsibilities include but are not limited to:

Develop and maintain scalable ETL processes for collecting, processing, and storing large volumes of telmunications data.
Collaborate with cross-functional teams to understand data requirements and implement solutions to meet business needs.
Design and optimise data models for efficient storage and retrieval of tel-related information.
Implement data quality checks and validation processes to ensure accuracy and consistency of data.
Work with cloud-based technologies, such as AWS or GCP & on prem environments such as Hadoop clusters to leverage their services for data storage, processing, and analysis.
Collaborate with data scientists to facilitate the integration of machine learning models into data pipelines.
Monitor and troubleshoot data pipeline issues to ensure continuous availability and performance.Mentor and support junior members of the Data Engineering function, providing guidance on problem-solving, best practice approaches and technical capabilities.
Stay updated on industry best practices and emerging technologies to drive innovation in data engineering within the tel domain.

What you'll need to succeed

Bachelor's degree inputer Science, Engineering, or a related field.
Proven experience as a Data Engineer, preferably in the telmunications sector.
Proficiency in Python for data processing & strong SQL skills for data manipulation.
Strong expertise in designing and implementing ETL processes and data pipelines.
Experience with relational databases, along with data modelling skills.
Familiarity with cloud platforms and services (, AWS, Azure, GCP).
Excellent problem-solving andmunication skills.
Proven experience using data transformation tools such as DBT.
Ability to work in a fast-paced and collaborative environment.
What you'll get in return
Flexible working options are available.
Working with a telmunication leader within the market