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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

📣 إعلان

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 22 يوم

مهندس بيانات

📣 إعلان

موزن

دوام كامل
About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in critical domains, including Financial Crime Prevention and Enterprise Knowledge Intelligence. We foster a diverse and collaborative team, united by a commitment to build AI that delivers tangible business value and empowers organizations with augmented intelligence.

About The Role
We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data architectures and pipelines. This role is integral in delivering high-quality consultation services to public and private sector clients, ensuring compliance, reliability, and business value from data assets.

What You'll Do
  • Architect, develop, and maintain large-scale data pipelines and integration workflows
  • Ensure high data quality, consistency, and security across multiple environments
  • Collaborate with data scientists, business stakeholders, and IT teams to deliver reliable solutions
  • Lead data migration, transformation, and optimization projects for clients in government and enterprise sectors
  • Evaluate and implement modern data frameworks, tools, and cloud/on-prem technologies
  • Provide guidance and mentorship to junior data engineers and consultants

Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
  • 4+ years of hands-on experience in data engineering and data architecture
  • Strong expertise in SQL, Python, Spark, Hadoop, Airflow, and ETL/ELT frameworks
  • Experience with cloud platforms (AWS, GCP, OCI, Azure) and on-premises environments
  • Knowledge of data governance, compliance (*, PDPL), and metadata management

Benefits
  • Competitive compensation and top-tier health insurance
  • Autonomy and responsibility to drive your own projects
  • Fun and dynamic workplace with some of the best minds in AI
  • Embracing diversity and empowering individuals to be their best selves

breifcase2-5 سنة

locationالرياض

منذ 22 يوم

مهندس بيانات

📣 إعلان

أعمال السيد

دوام كامل
Join Our Team as a Data Engineer!
We are seeking a talented and dedicated Data Engineer to develop and maintain robust data architectures that support our business needs. This is a fantastic opportunity for seasoned professionals looking to make a meaningful impact in our organization.

Key Responsibilities:
  • Develop and maintain robust data architectures that support business needs and provide reliable data accessibility.
  • Collaborate with cross-functional teams to define data requirements and deliver scalable data solutions.
  • Implement ETL processes for data extraction, transformation, and loading, ensuring high data quality and integrity.
  • Optimize data storage and access strategies for improved performance and efficiency.
  • Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes.
  • Create comprehensive documentation for data workflows and system architecture.

Requirements:
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering or related roles.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Solid experience with SQL databases and NoSQL technologies, such as Cassandra or MongoDB.
  • Familiarity with data warehousing solutions and big data technologies (*, Hadoop, Spark).
  • Strong analytical skills and attention to detail.

We encourage all qualified candidates to apply for this position.

breifcase2-5 سنة

locationالرياض

منذ 22 يوم

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