Senior Data Engineer - Enterprise Data Warehouse & Lakehouse Solutions

European Dynamics
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

API
Airflow
Data analysis
Data Integration
ETL
Data Transformation
Data Mining
Data Warehousing
Relational Databases
Python
Online Analytical Processing
Software Engineering
SQL Databases
Data Streaming
Talend
Unstructured Data
Data Processing
Snowflake
Data Build Tool (dbt)
Spark
Data Lake
Kubernetes
Data Management
Data Pipelines
Docker
Databricks

Job description

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

Do you have experience in Talend?, Do you have a Master's degree?, * 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 & conditions

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.

About the company

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.

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