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Senior Data Engineer

EmpHireLeuven, VAN, be

29 dagen geleden

Functieomschrijving

Position : Senior Data Engineer

Location : Leuven, Ghent or Antwerp, Belgium

Languages : Fluency in English is required, with knowledge of French or Dutch.

We are seeking an experienced and highly skilled Senior Data Engineer to join our innovative team in Belgium. As a Senior Data Engineer, you will play a critical role in designing, building, and optimizing data pipelines and architectures to support advanced analytics and data-driven decision-making. You will work closely with cross-functional teams to ensure data integrity, scalability, and performance across a variety of projects.

Key Responsibilities :

Data Architecture & Pipeline Development : Design, develop, and optimize data pipelines, ETL processes, and data warehousing solutions to meet business needs.
Data Modeling : Create and manage complex data models to support analytical and operational reporting needs.
Big Data Solutions : Implement big data technologies such as Hadoop, Spark, and Kafka to handle large-scale datasets and enable advanced analytics.
Cloud Integration : Build and manage data architectures on cloud platforms (AWS, Azure, or Google Cloud), ensuring scalability and security.
Data Quality & Governance : Establish and enforce data quality standards, governance policies, and best practices across all data platforms.
Performance Tuning : Continuously monitor and improve the performance of data systems and applications.
Collaboration : Work closely with data scientists, analysts, and business stakeholders to understand requirements and translate them into technical solutions.
Mentorship : Provide guidance and mentorship to junior data engineers, fostering a collaborative and growth-oriented environment.

Qualifications :

Education : Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Experience :

5+ years of experience in data engineering, with a proven track record of building and managing large-scale data architectures.

Strong expertise in ETL processes, data warehousing, and data pipeline development.

Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).

Experience working with big data frameworks (Hadoop, Spark, Kafka).

Advanced knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

Strong programming skills in Python, Java, or Scala.

Familiarity with DevOps practices and tools (Docker, Kubernetes, Terraform) for automating data workflows.

Skills :

Excellent problem-solving skills and ability to work on complex data challenges.

Strong communication and interpersonal skills to collaborate effectively with both technical and non-technical stakeholders.

Leadership skills with the ability to mentor and guide junior team members.

Ability to manage multiple priorities and projects simultaneously.

Bonus Skills :

Experience with data visualization tools such as Tableau, Power BI, or Looker.

Knowledge of machine learning pipelines and MLOps practices.

Understanding of data security and privacy regulations (GDPR compliance).

Benefits :

Competitive salary and bonus structure.

Opportunities for professional development, certifications, and career advancement.

Flexible working arrangements, including remote work options.

Health insurance and other employee benefits.

A collaborative, inclusive, and supportive work environment.