Data Engineer📣 Job Ad

Join Our Team as a Data Engineer!
At HUED, we are excited to announce an opportunity for a talented Data Engineer to join our dynamic platform development project. We pride ourselves on creating exceptional human-centered experiences and are looking for someone who shares our passion for creativity and innovation.

About the Role:
The Data Engineer will be responsible for designing and managing data infrastructure that supports platform performance and analytics. You will play a crucial role in building scalable, data-driven solutions.

Key Responsibilities:

• Design and build scalable data pipelines (ETL/ELT) for the platform
• Integrate data from multiple sources (APIs, third-party systems, databases)
• Develop and maintain data warehouses and data lakes
• Ensure data accuracy, consistency, and availability across the platform
• Optimize data processing performance and system scalability
• Collaborate with developers, product teams, and analysts
• Support real-time and batch data processing requirements
• Document data architecture and workflows

Requirements:

• 5+ years of experience in Data Engineering
• Strong experience in SQL and Python
• Hands-on experience with ETL tools (*, Airflow, Talend)
• Experience working on platform-based or product environments
• Strong knowledge of data modeling and database design
• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience with data warehousing tools (BigQuery, Snowflake, Redshift)

If you are ready to take on challenges and contribute to projects that blend design, art, and technology, we encourage you to apply and join our creative team.

Join Devoteam as a Data Engineer!
At Devoteam, our philosophy revolves around leveraging technology for better human experiences. We are a technology-driven firm with a presence in over 25 countries, dedicated to fostering innovation and delivering value to our clients.

Role Overview:
As a Data Engineer, you will play a crucial role in ensuring high-quality data governance and engineering standards. You will be responsible for developing, monitoring, and optimizing data quality rules and processes to ensure reliable enterprise data.

Key Responsibilities:

• Design and maintain data quality frameworks and processes.
• Collaborate with data governance teams to enforce data quality standards.
• Conduct data profiling and validation to identify quality gaps.
• Implement automated data quality checks and workflows.
• Define and manage data quality metrics (DQ KPIs) and dashboards.
• Support audits and compliance reviews with documentation and reports.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science or related field.
• 5+ years of experience in Data Quality, Governance, or Engineering.
• Strong experience with enterprise DQ tools and SQL.
• Proven ability to mentor junior engineers.
• Familiarity with regulatory compliance requirements.

Join us to be a part of a community where innovation, teamwork, and caring for each other are at the forefront of what we do.

About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.

About The Role
We are looking for a skilled Data Engineer to join our implementation and professional Services team. In this role, you will be responsible for designing, building, and optimizing the data pipelines that support our FOCAL system. You will work closely with machine learning engineers, software developers, and engagement managers to ensure seamless data integration and high-performance system scalability.

Responsibilities:

• Develop and maintain scalable data pipelines and ETL processes to support FOCAL.
• Optimize SQL query generation by designing efficient database schemas, indexing strategies, and query execution plans.
• Collaborate with ML engineers to preprocess, transform, and structure large-scale datasets for AI models.
• Monitor and enhance data pipeline performance, reliability, and scalability.
• Ensure data quality by implementing validation and logging mechanisms.
• Stay up to date with best practices in data engineering and database optimization.

Qualifications:

• 2+ years of experience in data engineering or related technical roles.
• Proficiency in Python for data processing and ETL development.
• Strong SQL skills and experience writing complex queries.
• Solid understanding of dimensional modeling.
• Working knowledge of Linux command line and server administration.
• Experience with Docker or containerization technologies.

Benefits:
Competitive compensation, medical insurance, and a dynamic workplace environment.