Offer summary

Qualifications:

Master’s degree in Computer Science, Information Technology, or equivalent experience., Minimum 3 years in Data Engineering with proficiency in Spark, ADF, Python, and T-SQL., Strong skills in PySpark and Spark SQL, with experience in API interfaces and JSON ingestion., In-depth understanding of Microsoft Azure ecosystems and hands-on experience with Azure DevOps..

Key responsabilities:

Design, deploy, and manage scalable solutions using cloud platforms like Azure and Databricks.

Integrate data sources with Data Lake storage and perform ETL activities using ADF pipelines and Notebooks.

Collaborate with Data Engineers, Data Scientists, and Data Analysts to ensure effective data usage.

Proactively identify and implement improvements for data reliability, efficiency, and quality.

Job description

About The Job

As a 5CA Data Engineer you will ensure our data landscape can scale with the growth of our business. Build and maintain data models and data pipelines. Ensure smooth data processing to enable data analysts and data scientists to perform their duties efficiently. Play an active role in the development of our next-gen cloud Data Platform. Proactively identify and implement improvements for data reliability, efficiency, and quality.

Responsibilities

Design, deploy, and manage scalable solutions using cloud platforms such as Azure and Databricks
Integrate data sources with Data Lake storage using ADF pipelines and perform ETL activities with Notebooks
Collaborate with Data Engineers, Data Scientists, and Data Analysts to ensure effective and efficient data usage
Research, recommend, and implement new technologies and improvements
Ensure the scalability and adaptability of our data landscape to match business growth
Maintain smooth data processing workflows to support optimal performance for analysts and scientists
Proactively identify and address areas for improving data reliability, efficiency, and quality
Independently design and maintain data models and pipelines

About You

Master’s degree in Computer Science, Information Technology, or a related field. Or equivalent experience
Minimum 3 years in Data Engineering
Proficient in programming with Spark, ADF, Python and T-SQL
Strong skills in PySpark and Spark SQL
Experience with API interfaces and JSON file ingestion. Solid knowledge of DevOps (CI/CD pipelines), Powershell, and Databricks
In-depth understanding of Microsoft Azure ecosystems
Hands-on experience with Azure DevOps for code maintenance and CI/CD. Experience with PowerBI, GenAI, or Fabric is an added advantage
Business acumen to understand and drive data solutions aligned with organizational goals
Effective collaboration with peers across data and analytics teams
Excellent communication and presentation skills
Ownership and accountability to deliver end-to-end data solutions
Ability to work in the CET time-zone

Technical Requirements

A minimum internet speed of 10 Mb/s download and 10 Mb/s upload internationally.
A minimum of 8 GB RAM
A 64-bit version of Windows 10 or newer, or macOS 10.11 or newer
An Intel Core i5-8260U or better/similar.
A smartphone usable for two-factor authentication that runs at least:

Android 8.0 or newer
Apple iOS 15.0 or newer

We Offer

The flexibility to work 100% remotely with no wasted commute time and travel costs
A position at a fast-paced international company with ambitious gaming, e-commerce, and tech clients
A diverse and inclusive culture with people from 80+ countries, speaking 25+ languages - where we celebrate everyone's uniqueness
Innovative digital tools, and continuous opportunities for learning and development
Fun employee engagement activities and participation in 5CA employee-lead communities such as 5CA Connect, Pride, 5CA Gamers, Women of 5CA, to name a few
Location-specific benefits

Required profile