Senior Data Engineer (m/w/d)

Everience; Brussel; On-site; EUR 85,000 - 110,000; Full time

Job summary

Everience recherche un expert Data Engineering pour assurer la qualité et la gouvernance des sources de données, et pour structurer le cycle de vie des données avec les meilleures pratiques. Vous superviserez les systèmes de gestion et de traitement des données, y compris les plateformes Big Data et IoT.

Vous mappez, standardisez et enrichissez les jeux de données, garantissant l'intégrité et la cohérence métier, tout en collaborant avec les Data Analysts et Data Scientists sur des projets

Qualifications

• Master/Mastere en informatique, data science ou domaine connexe.
• 10–15 ans d'expérience dans les données et l'ingénierie.
• Connaissance solide de la gouvernance, qualité et entrepôts de données.
• Expérience en méthodes Agile dans des environnements d'entreprise.

Responsibilities

• Garantir la qualité et la gouvernance des sources de données.
• Concevoir et maintenir le Data Lake et les pipelines ETL.
• Intégrer données structurées et non structurées et assurer leur cohérence.
• Collaborer avec Data Analysts/Data Scientists et parties prenantes.

Skills

Python

.NET/C#

Git

ETL

SQL

Data modeling

Education

Master's Degree in Computer Science / Data Engineering

Tools

Databricks

PySpark

Apache Spark

Airflow

DAGs

AWS

Job description

Description de l'entreprise

Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.

With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.

Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.

In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.

Description du poste

You will be responsible for ensuring high-quality access to data sources, with a strong focus on data quality, standardization, qualification, and governance to enable effective use by Data Analysts and Data Scientists.

You will contribute to the definition and implementation of data policies and to the structuring of the data lifecycle, ensuring compliance with regulatory requirements in collaboration with key data governance stakeholders.

You will oversee data management and processing systems, including Big Data and IoT platforms. You will ensure the integration of structured and unstructured data from multiple sources and maintain high data quality within the Data Lake through rigorous testing, validation, and deduplication processes.

Data Qualification & Data Management

• Capture structured and unstructured data generated by internal applications and external sources.
• Integrate and consolidate data from multiple systems and environments.
• Structure data through semantic modeling and standardization practices.
• Map available data assets and maintain data consistency.
• Clean and enrich datasets, including duplicate elimination and quality remediation.
• Validate data integrity and business consistency.
• Create and maintain data repositories where required.

Datastream Team Scope

Support data management activities across Downstream and Upstream domains, with a particular focus on data used for forecasting purposes and business-critical analytics.

Technical Skills & Expertise

Data Engineering & Development

• Proficiency in Python and .NET/C# for script development and ETL implementations.
• Strong knowledge of software development best practices and version control using Git.
• Expertise in modern data acquisition, preparation, integration, and transformation techniques.

Databases & Data Warehousing

• Strong understanding of relational databases and SQL.
• Ability to design efficient data models and optimize query performance.
• Experience working with enterprise data warehouses and large-scale data platforms.

Big Data & Cloud Technologies

• Experience with Databricks, including ETL development, Spark cluster management, and SQL optimization.
• Experience with PySpark and Apache Spark ecosystems.
• Knowledge of AWS cloud services and data platform solutions.
• Experience building and orchestrating ETL workflows using Airflow and DAGs.

Qualifications

• Master's Degree in Computer Science, Data Engineering, Data Science, Information Systems, Applied Mathematics, or a related field.
• 8-10 years of experience
• Strong knowledge of Data Governance, Data Quality, Data Warehousing, and Data Lake architectures.
• Experience working in Agile environments and large-scale enterprise ecosystems.
• Excellent communication, stakeholder management, and problem-solving skills.

Informations complémentaires

All our positions are open to both women and men and are, of course, open to people with disabilities.

• Niveau d'expérience: 10-15 ans
• Département: Fonctions d'ingénierie
• Type de contrat: CDI