Data Engineer
At a glance
Mid-level Data Engineering role at Endava. Kuala Lumpur · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build automation tools and data pipelines, then keep improving the technology stack
- Lead technical discussions, help teams choose solutions, and coach others through decisions
- Deliver complex engineering work while setting better practices and streamlining existing processes
- Keep documentation clear and complete, and resolve issues with standards and compliance
- Coordinate with technical leads and teammates to align goals and guide junior engineers
What you bring
- A computer science bachelor's degree and three to six years of advancing software engineering experience
- Strong Python skills and substantial experience working in AWS
- Experience with an MPP database, plus familiarity with agile delivery methods
- Working knowledge of AI and machine learning, and data privacy, security, and compliance
Who this fits
This mid-level role suits someone who can take ownership of complex engineering tasks while mentoring junior colleagues. It is based in Kuala Lumpur and uses a hybrid work arrangement. Ad tech experience is a plus.
From the employer
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Endava is currently seeking a highly motivated, detail-oriented Data Engineer to fill an immediate need. This individual will work with the technical team and internal clients to understand and analyze requirements to build and support data initiatives. The candidate will have experience designing and developing highly scalable data solutions with a strong understanding of the Data Engineering operating environments. This role requires an individual who has a passion for technology and media and is looking to apply this to further their experience in real-world business scenarios.
Key Responsibilities
- Guide and drive discussions, support decision-making in processes and solutions, and mentor in discussions.
- Oversee and deliver complex core practice tasks and guide others effectively.
- Develop and advocate for new best practices and optimize existing processes.
- Take ownership of documentation for assigned areas, ensuring completeness, consistency, and clarity.
- Champion compliance and standards, drive adherence, and resolve issues.
- Drive and support team collaboration by coordinating efforts and fostering strong team dynamics.
- Work closely with technical leads to ensure alignment on goals and technical solutions.
- Mentor and develop junior engineers, providing technical guidance.
- Building Automation tools and pipelines, as well as continuous improvement of tech stacks.
Requirements
- Bachelor’s degree in computer science
- 3-6 years of progressive software engineering experience
- Strong experience with Python
- Strong experience within AWS cloud ecosystem
- Experience with any MPP database technology
- Experience with agile methodologies is highly desirable
- Basic understanding of AI/ML concepts
- Skilled in time management and meeting timelines
- Strong teamwork, contributing effectively to team goals
- Thrive in hybrid work settings
- Effective communicator, skilled at influencing team discussions
- Basic understanding of data privacy, security, and compliance standards
- Able to stay ahead of the curve with new and emerging technologies
- Experience in ad tech is a strong plus
Technical Experience:
- Warehouse/Lakehouse: Snowflake, AWS Redshift
- Orchestration/Pipelines: Airflow
- Transformation/Modelling: DBT
- Observability/Analytics: AWS QuickSight
- CI/CD: Jenkins, GitHub, Terraform, Docker, Kubernetes
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
- Health: Global internal wellbeing programme, access to wellbeing apps;
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.