Job description
We currently have a vacancy for a Data Engineer (Snowflake) fluent in English, to offer his/her services as an expert remotely. In the context of the first assignment, the successful candidate will be integrated in the team of the company that will closely cooperate with a major client’s IT team on site.
Your tasks:
Designs and develops Snowflake and Azure Data Factory data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems;
Integrates data from different sources, including cloud and on-premise SQL and Oracle databases, data warehouses, APIs, and external systems;
Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed;
Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques;
Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data;
Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision-making;
Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance.
University degree in IT or relevant discipline, combined with a minimum of five years’ relevant experience in Information Technology, of which at least three years should have been in managing the development or deployment of data analysis, management, and integration solutions;
Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake);
Hands-on experience with Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines;
Hands-on experience designing, building, and deploying data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI ;
Expert in ETL languages/tools such as Python, SQL, R, SAS, or Excel;
Expert with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata;
Excellent command of the English language.
If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (18586B/04/2025).
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 European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion.
EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company’s recruitment opportunities, in line to the Policy.
