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.
Job title
Senior Data Engineer – Enterprise Data Warehouse, Lakehouse Solutions
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