Hybrid Senior Data Engineer – Enterprise Data Warehouse, Lakehouse Solutions

at EUROPEAN DYNAMICS

• Job title: Senior Data Engineer – Enterprise Data Warehouse, Lakehouse Solutions
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Cloud, Docker, ETL, Kubernetes, Python, Spark, SQL
• Location requirements: Hybrid, Brussels, Belgium

About the role

• Senior Data Engineer developing Enterprise Data Warehouse & Lakehouse solutions for major clients while working in a hybrid environment in Belgium. Focusing on data engineering and business intelligence solutions.

Responsibilities

• Development and maintenance on Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses);
• 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 relational 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.

Requirements

• University degree in IT combined with relevant IT professional experience of 13 years;
• At least 5 years of experience in relational database systems applied to data warehouse, data warehouse design & architecture;
• At least 5 years of experience in code-based data transformation tools such as Data build tool (dbt), Spark;
• At least 5 years of experience in SQL and data integration and ETL/ELT tools;
• Hands-on experience as Data Engineer in a modern data platform and on data analytics techniques and tools;
• At least 3 years of experience in Python and orchestration tools such as Airflow, Dagster;
• At least 3 years of experience in data modelling tools as well as online analytical data processing (OLAP) and data mining tools;
• Experience with data platforms such as Fabric, Talend, Databricks and Snowflake;
• Experience with containerised application development and deployment tools, such as Docker, Podman, Kubernetes;
• Excellent command of the English language.

Benefits

• If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: **(19223/10/25).**
• We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
• You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.