Senior Data Engineer: Architect & Optimize Data Pipelines

Everience Benelux; Brussel; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Everience is seeking a Senior Data Engineer to manage, integrate, and optimize data across Upstream and Downstream activities, with a focus on data used for forecasting. You will ensure data quality, accessibility for stakeholders, Data Analysts, and Data Scientists, and contribute to data governance initiatives.

You will design and maintain ETL/ELT pipelines, model data, document lineage, monitor pipelines, and collaborate with architects to advance data platform decisions; Databricks and

Qualifications

• Bachelor's or Master's in Computer Science, Data Engineering, Information Systems, or a related field.
• Strong Python development for data processing, scripting, and ETL implementation.
• Advanced knowledge of SQL, relational databases, and data warehouse concepts.
• Experience designing and optimizing data models and database performance.
• Strong understanding of software development best practices.
• Proficiency with version control systems, particularly Git.
• Experience developing and maintaining ETL/ELT solutions.

Responsabilités

• Capture, integrate, and process structured and unstructured data from various internal and external sources.
• Design, develop, and maintain robust ETL/ELT pipelines.
• Structure, standardize, qualify, and document data to ensure consistency and usability.
• Map and maintain data lineage and data source documentation.
• Monitor and improve data quality through validation, testing, and cleansing processes.
• Identify and eliminate duplicate, incomplete, or inconsistent data.
• Ensure the quality and reliability of data entering the Data Lake.
• Contribute to the creation and maintenance of data repositories when required.
• Promote and implement best practices in data governance and data management.
• Develop solutions within the enterprise data framework.
• Write technical specifications and design documentation.
• Develop and execute unit tests to ensure solution reliability.
• Participate in technical and architectural discussions and contribute to strategic data platform decisions.
• Support the continuous improvement of data architecture and engineering practices.
• Ensure timely delivery of development activities while maintaining high‑quality standards.
• Monitor production systems and data pipelines.
• Perform maintenance, troubleshooting, and issue resolution.
• Ensure operational stability and performance of data processing environments.
• Collaborate closely with business stakeholders, architects, developers, Data Analysts, and Data Scientists.

Connaissances

Python

SQL

ETL/ELT

Data Modeling

Git

Formation

Bachelor's or Master's in Computer Science / Data Engineering

Outils

Databricks

Airflow

Data Lake

Cloud platforms

Description du poste

Everience is seeking a Senior Data Engineer to manage, integrate, and optimize data across Upstream and Downstream activities, with a focus on data used for forecasting. You will ensure data quality, accessibility for stakeholders, Data Analysts, and Data Scientists, and contribute to data governance initiatives.

You will design and maintain ETL/ELT pipelines, model data, document lineage, monitor pipelines, and collaborate with architects to advance data platform decisions; Databricks and