Job Description

ABOUT THE JOB  

We are looking for self-motivated, creative thinkers, people that are flexible and enjoy working in teams. 

ABOUT THE TEAM

Our dedicated data engineering team assumes full responsibility for the entire lifecycle of our “data processing platform.” This transformative platform empowers our colleagues from diverse departments, even those lacking extensive technical expertise, to independently construct and manage end-to-end Airflow data processing pipelines. Utilising the scalability of Spark clusters on AWS, the platform offers an intuitive, virtually no-code interface that enables users to effortlessly assemble, transform, and serialise data. This capability is paramount for supporting our sophisticated media planning solutions, democratising data access and manipulation, and substantially expediting the delivery of valuable insights without the conventional reliance on coding proficiency.

The team has an open culture, works in an agile style and in close cooperation with software developers and colleagues from other disciplines, such as data scientists and client-facing solution managers. You will have the opportunity to develop yourself in areas like big data, cloud computing, data lake architecture and data orchestration. 

Qualifications

• 5+ years of experience in data engineering

• Bachelor or master’s degree in Computer Science Data Engineering, or proven experience in the field; 

• Knowledge of and experience with software engineering best practices is crucial. 

• Proficiency in distributed computational engines such as Spark, Presto, and Trino.

• Familiarity with cloud platforms like AWS, Azure, and Google Cloud Platform (GCP).

• Experience with containerisation technologies (Docker, Kubernetes, etc.).

• Knowledge of continuous integration pipelines.

• Ability to interact with Data science teams as key stakeholders

• Capability to design scalable data processing pipelines that can efficiently handle data volumes ranging from a few megabytes to terabytes, while maintaining consistency in applying the same business rules.

• Fast learner

• Team player with flexible, proactive and pragmatic attitude; 

• Excellent problem-solving and analytical skills. Strong communication and collaboration skills.

• Ability to guide fellow team members

Additional Information

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