We currently have a vacancy for a Senior Data Engineer - Enterprise Data Warehouse & Lakehouse Solutions fluent in English, to offer his/her services as an expert who will be based in 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 with the Development team of the company that will closely cooperate with a major client’s IT team on site.
Your tasks
* 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.
EUROPEAN DYNAMICS ( www.eurodyn.com )is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
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