Data Engineer/Architect

Talent Quanta is seeking a Data Engineer/Architect fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site.

Key Responsibilities

• Development and maintenance of a fully open-source Data Lakehouse;

• Design and development of data pipelines for scalable and reliable data workflows to transform extensive quantities of both structured and unstructured data;

• Data integration from various sources, including databases, APIs, data streaming services and cloud data platforms;

• Optimisation of queries and workflows for increased performance and enhanced efficiency;

• Writing modular, testable and production-grade code;

• Ensuring data quality through monitoring, validation and data quality checks, maintaining accuracy and consistency across the data platform;

• Elaboration of test programs;

• Document processes comprehensively to ensure seamless data pipeline management and troubleshooting;

• Assistance with deployment and configuration of the system;

Required Expertise

• University degree in IT or relevant discipline, combined with minimum 13 years of relevant working experience in IT;

• Hands-on experience as Data Engineer or Data Architect in modern cloud-based open-source data platform solutions and on data analytics tools;

• Experience in data warehouse and/or data lakehouse design & architecture;

• Experience with AI-powered assistants like Amazon Q that can streamline data engineering processes;

• Experience in creating end-to-end data pipelines and the ELT framework;

• Excellent knowledge in SQL, relational databases,and open-source, code-based data transformation tools such as dbt, Spark and Trino;

• Good knowledge of Python and open-source orchestration tools such as Airflow, Dagster or Luigi;

• Good knowledge of data modelling tools and online analytical data processing (OLAP) and data mining tools;

• Good knowledge of event streaming platforms and message brokers like Kafka and RabbitMQ;

• Understanding of the principles behind storage protocols like Apache Iceberg or Delta Lake;

• Proficiency with Kubernetes and Docker/Podman;

• Excellent command of the English language.

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