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Join Devoteam as a Data Engineer! Our commitment at Devoteam is to harness technology to drive positive change in the world. With over 25 years of experience and a presence across 18+ countries, we pride ourselves on our innovative and human-centric approach to technology.

About The Role: As a Data Engineer, you will play a crucial role in developing, monitoring, and optimizing data quality processes essential for reliable enterprise data. This includes identifying and resolving data anomalies, ensuring business decisions are based on high-integrity data.

Key Responsibilities:

• Design and maintain data quality frameworks.
• Collaborate with teams for consistent data quality standards.
• Conduct data profiling and validation.
• Develop automated data quality checks.
• Document data quality rules and actions.
• Lead design and deployment of scalable solutions.
• Participate in compliance with local data management regulations.

Qualifications:

• Bachelor's or Master's degree in Computer Science or related fields.
• 5+ years of experience in Data Engineering or related roles.
• Strong expertise in DQ tools and proficiency in SQL and scripting (Python, Shell, or Scala).
• Excellent communication skills.

Join our team! If you are passionate about technology and looking for a place to turn your ideas into reality, we would love to hear from you.

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.

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