Senior Data Engineer at Momentum Metropolitan Holdings Limited

Role Purpose    

• The Senior Data Engineer is responsible for designing, building, and maintaining robust, scalable data pipelines and platforms to support advanced analytics, BI, and data-driven decision-making. This individual brings strong technical experience, shows leadership in data initiatives, and works closely with both technical and business stakeholders to ensure high-quality data solutions. 
• This role bridges implementation and design leadership, playing a critical role in guiding best practices and mentoring junior engineers while contributing hands-on to complex projects. 

Requirements    

• A degree or diploma in Computer Science, Information Systems, Engineering, or a related field.
• 4–7 years of hands-on data engineering experience.
• Advanced proficiency in Python and SQL.
• Strong database design knowledge and experience with data warehousing techniques and modelling approaches.
• Experience building and maintaining cloud-based data architecture (AWS preferred).

Duties & Responsibilities    
Data Engineering & Pipeline Development 

• Design, develop and maintain complex data pipelines from multiple sources into a central data platform/lakehouse.
• Ensure reliability, scalability, and maintainability of pipelines.
• Optimize data flows and data quality checks. 

Data Platform Design & Maintenance 

• Contribute to the architectural design and enhancements of the data platform.
• Support the implementation of cloud-first data solutions, primarily in AWS.
• Lead initiatives for automation, monitoring, and CI/CD for data engineering workflows. 

Technical Leadership & Mentorship 

• Provide technical guidance and mentorship to Data Engineers.
• Advocate for best practices in data engineering, including version control, testing, and documentation.
• Conduct code reviews and support knowledge sharing across the team. 

Stakeholder Collaboration 

• Collaborate with data scientists, analysts, software engineers, and business stakeholders.
• Translate business requirements into technical specifications and deliverables.
• Support data consumers by developing reports, data products, and self-service solutions. 

Competencies    

• Contributes meaningfully and consistently – You show up with intention, take ownership of your work, and add value in ways that move the team forward. 
• Acts like an owner – You take care of our systems, data, and outcomes as if they were your own. You’re invested in the long-term success of the business. 
• Balances quality with sustainability – You manage your workload with care, communicate clearly about what can be done (and what can’t), and help the team maintain a healthy, sustainable pace — even under pressure. 
• Sweats the details – You take pride in producing high-quality work and help uphold high standards across the team. 
• Gives and receives feedback with care – We believe in radical candor (as described in the book) — direct, respectful feedback that helps us grow and deliver better outcomes for our clients. 
• Builds trust through communication – You’re transparent, proactive, and thoughtful in how you collaborate with others — whether it’s a quick check-in or a deep technical discussion. 

Deadline:11th August,2025