The ideal candidate will have extensive experience in data engineering, including big data platforms and cloud environments. They must be skilled in solution design, testing, and support.
This is a contract position that will last 2-3 years with an initial term of 6 months. The job offers a hybrid working arrangement.
Responsibilities include developing and supporting data solutions, building and optimizing batch and near real-time data flows and pipelines, demonstrating deep knowledge of big data and cloud platforms, and leading internal and external teams.
The successful candidate must have at least 7 years of experience in designing and engineering complex data solutions, as well as experience in Unix/Linux servers, Hadoop, Azure, Python, and Apache Spark.
Key Responsibilities:
* Data Engineering: Develop and support data solutions, build and optimize data pipelines
* Big Data Expertise: Proven experience in big data platform delivery and cloud-based data lake environments
* Leadership: Lead internal and external teams, facilitating workshops and mentoring junior consultants
The role requires strong communication skills for engaging presentations and clear reporting. The candidate must also be able to manage time effectively and thrive in fast-paced, agile environments.
Requirements:
* At least 7 years of experience in designing and engineering complex data solutions
* Experience in Unix/Linux servers, Hadoop, Azure, Python, and Apache Spark
* Strong communication skills for engaging presentations and clear reporting
* Ability to manage time effectively and thrive in fast-paced, agile environments
Benefits:
* Contract duration: 2-3 years with an initial term of 6 months
* Hybrid working arrangement
We are seeking a highly skilled data engineer to join our team. If you are passionate about big data and cloud technologies, we encourage you to apply.