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نوع العقدنوع العقددوام كامل
طبيعة الوظيفةطبيعة الوظيفةبالموقع
الموقعالموقعالرياض
Join HALA as a Senior Data Engineer!
HALA is a leading fintech player in the MENAP region, focusing on redefining financial services for SMEs. We empower businesses with innovative financial tools and solutions. As a Senior Data Engineer, you will be at the forefront of our data infrastructure, contributing to cutting-edge analytics and real-time intelligence.

Role Overview: We are looking for a highly skilled Senior Data Engineer who will design, build, and optimize large-scale data infrastructure. Your responsibilities will include:
  • Architecting and maintaining real-time data pipelines using Apache Kafka and other technologies.
  • Implementing efficient change data capture (CDC) pipelines.
  • Developing and automating ETL/ELT workflows.
  • Administering and optimizing large-scale Oracle databases for analytical workloads.
  • Ensuring compliance with data governance and security standards.
  • Partnering with analytics teams to understand business requirements.

What We Offer:
HALA offers a diverse culture with competitive compensation packages and growth opportunities. We emphasize personal development through regular training and mentorship. Work in an innovative environment that values autonomy and responsibility.

If you're ready to make an impact with us, we encourage you to apply now!

متطلبات الوظيفة

  • تتطلب ٢-٥ سنوات خبرة

وظائف مشابهة

مهندس بيانات

📣 إعلانجديدة

تي إم سي الشرق الأوسط

عمل مؤقت
Join TMC Middle East as a Data Engineer!

TMC Middle East is seeking a skilled Data Engineer for an exciting project with a Government Entity in Riyadh. This role offers the opportunity to work on innovative data solutions in a collaborative environment.

About the Role:
As a Data Engineer, you will:
  • Design and build Data Architectures, Data Warehouses, and Data Lakehouses.
  • Utilize various data warehousing tools to build and manage ETL/ELT pipelines.
  • Work with data orchestration tools including Airflow, DBT, and Prefect.
  • Perform data cleaning, validation, and quality assurance.
  • Handle both relational and non-relational databases.
  • Implement logical & physical models, and dimensional modeling using the Kimball methodology.
  • Engage in advanced SQL tasks including query optimization and storage optimization.
  • Monitor data pipelines using tools like Grafana and Prometheus.
  • Utilize Google Cloud Storage for data staging and organization.
  • Work with big data technologies such as Hadoop, Spark, and Kafka.
  • Automate data pipelines and reporting, collaborating with analytics and AI teams to ensure data security and compliance with regulatory standards.

Requirements:
To be successful in this role, you should have:
  • At least 7 years of experience in a Data Engineer role.
  • A transferable iqama and immediate availability.

About TMC:
TMC Middle East emphasizes innovation and technology in providing tailored solutions for diverse clients. Our team consists of entrepreneurial technologists dedicated to pushing the boundaries of what's possible. Join a thriving environment where you can meet like-minded professionals and elevate your career through our unique Employeneurship philosophy.

breifcase2-5 سنة

locationالرياض

منذ 24 ساعة تقريباً

مهندس بيانات

📣 إعلانجديدة

قطعة أثرية

دوام كامل
Join Artefact as a Data Engineer
Artefact is a new generation of data service providers specializing in data consulting and data-driven digital marketing. We are dedicated to transforming data into business impact across the entire value chain of organizations, and we enjoy skyrocketing growth.

Role Overview
As a Data Engineer, you will be responsible for crafting and maintaining robust data pipelines, utilizing Python and SQL to ensure efficient extraction, transformation, and loading (ETL) of data.

Key Responsibilities
  • Data Pipeline Development: Build and optimize data pipelines to facilitate seamless data flow across systems and platforms.
  • Database Management: Manage databases, ensuring their integrity, and implementing data storage and retrieval solutions.
  • Cloud Services Integration: Leverage cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
  • Machine Learning Integration: Collaborate with teams to integrate machine learning models into data pipelines for enhanced data processing.
  • Utilizing Spark & Kafka: Implement and work with Spark and Kafka for real-time data processing and analytics.

Desired Qualifications
  • 2-5 years of experience in Data Engineering.
  • Proficiency in Python, SQL, and database management.
  • Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
  • Proven problem-solving skills with a solution-oriented mindset.
  • Excellent communication skills for effective collaboration within teams and with stakeholders.
  • Strong business acumen with an interest in business-facing roles.
  • Adaptability and a start-up mentality to thrive in a dynamic environment.
  • A minimum of a bachelor's degree in Computer Science, Electronics, or Communication Engineering.

At Artefact, you will be part of a passionate team that believes innovation can come from anyone. Come and help us build the future of data and AI.

breifcase2-5 سنة

locationالرياض

منذ 24 ساعة تقريباً