Job Purpose
As a Middle Data Engineer, you will contribute as a skilled individual contributor within cross-functional project teams, taking ownership of data pipeline development and implementation while continuously growing your technical expertise and problem-solving capabilities. You will be responsible for designing efficient data workflows, writing clean, maintainable code, participating in code reviews, and collaborating effectively with senior team members to deliver high-quality data solutions. In this role, you will focus on mastering data engineering practices, expanding your technical knowledge across different areas, and contributing to project success through reliable execution and proactive learning in an agile, collaborative environment.
Technical Development & Implementation:
Design, develop and optimize data processing workflows aligned with project requirements
Implement appropriate data storage and access patterns based on use case requirements
Facilitate reliable data movement between systems using batch processing, streaming, or hybrid approaches
Write clean, maintainable, and well-documented code with appropriate error handling and monitoring
Develop and implement testing strategies to ensure data accuracy, completeness, and performance
Troubleshoot and resolve data processing issues with guidance from senior team members when needed
Contribute to technical documentation that enables knowledge sharing and system understanding
Apply appropriate technologies to solve data challenges based on project context and requirements
Collaboration & Professional Growth:
Collaborate effectively with cross-functional team members including software engineers, product managers, and other colleagues
Participate actively in agile development processes including sprint planning, daily standups, and retrospectives
Seek guidance and mentorship from senior team members to accelerate learning and professional development
Take initiative in expanding technical knowledge through self-directed learning and training opportunities
Contribute to team knowledge sharing through documentation, presentations, or informal knowledge transfer
Support onboarding and knowledge transfer for new team members when appropriate
Build positive working relationships with team members and demonstrate strong teamwork and collaboration skills
Data Standards & Best Practices:
Follow established data governance policies and quality assurance procedures for consistent delivery standards
Implement data quality monitoring and validation processes for processed data
Apply security best practices and data privacy considerations in all engineering work
Contribute to continuous improvement initiatives by providing feedback on data processes and suggesting enhancements
Maintain awareness of technical debt in data systems and communicate potential issues to senior team members
Support data release management activities and participate in deployment processes under guidance
Learn and apply industry best practices for data engineering excellence
Project Support & Execution:
Execute assigned data engineering tasks within established timelines and quality expectations
Provide accurate estimates for development work and communicate any risks or blockers proactively
Support project planning by contributing technical input on data requirements and architecture considerations
Collaborate with team members to resolve technical dependencies and coordinate development efforts
Participate in client demonstrations and technical discussions when appropriate and under guidance
Contribute to project documentation and ensure clear communication of data engineering decisions
Support post-deployment monitoring of data pipelines and resolution of data quality issues
Business Adaptability & Professional Growth:
Demonstrate Continuous Learning: Actively pursue technical skill development, seek feedback from senior colleagues, and adapt to new technologies and methodologies
Drive Adaptability & Growth: Execute seamless transitions between different projects and technologies while continuously expanding technical expertise as business needs evolve
Execute Reliable Development: Apply problem-solving skills with attention to detail, deliver consistent quality in code and documentation, and take ownership of assigned tasks
Practice Effective Collaboration: Communicate clearly with team members, ask thoughtful questions when guidance is needed, and contribute positively to team dynamics
- Allowance: ₱5,000 (taxable and non-taxable)
- Paid Leaves:
- Year 1: 12 Vacation Leaves (VL) and 10 Sick Leaves (SL)
- Year 2 onwards: 20 VL and 10 SL
- Leave Conversion: Up to 5 unused vacation leaves may be converted or carried over
- HMO Coverage: Up to ₱250,000 per illness per year, with 2 free dependents
- Referral Program: Incentives for successful talent referrals
- Pantry Perks: Complimentary coffee, milk, chocolate, and snacks
- Company Engagement: Quarterly company-sponsored meals (Happy Hour)
Skills Required
- Design and develop efficient data processing workflows and pipelines
- Implement appropriate data storage and access patterns based on use cases
- Build reliable data movement solutions using batch, streaming, or hybrid approaches
- Write clean, maintainable, well-documented code with error handling and monitoring
- Develop and implement testing strategies to ensure data accuracy and performance
- Troubleshoot and resolve data processing issues, escalating to senior team members when needed
- Participate in code reviews, agile ceremonies, and cross-functional collaboration
- Follow data governance, quality assurance procedures, and implement data quality monitoring
- Apply security best practices and data privacy considerations in engineering work
- Contribute to technical documentation, onboarding, and knowledge transfer
What We Do
CI&T is your end-to-end digital transformation partner. As a digital native, we bring a 27-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of 6,000+ professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency.
.png){kind=logo}
