Data Engineer
Contractor
contractor
18 Nov 2025
DKI Jakarta
Verified by Turrior
Content + Source + Freshness • 14 Feb 2026 • 95% confidence
75 / 100
Offer value
Solid value due to established company reputation and clear career path in data engineering, but location limits talent pool.
- Competitive position in the data engineering sector
- Opportunities for skill development and collaboration
- Contractor role may affect job security
Pros
- Competitive positioning in data engineering within an evolving e-commerce environment.
- Opportunities for collaboration across technology and business disciplines.
- Clear expectations for development of technical and analytical skills.
Cons
- Position is location-specific, reducing remote work flexibility.
- Contractor status may imply less job stability.
- Limited primary technology exposure could restrict broader skill development.
Who it's for
Mid-level • On-site
Good fit
- Mid-level data engineers
- Candidates skilled in Python and SQL
- Professionals seeking growth in data analytics
Not recommended for
- New graduates without relevant experience
- Individuals preferring remote positions
- Candidates lacking strong analytical skills
Motivation fit
Interest in building data-driven productsDesire for involvement in a collaborative team environmentFocus on enhancing data quality and analytics competency
Key skills
Data modelingETL processesTesting and data quality assuranceCollaboration and communication
Score: 75/100 AI verified analysis
About the job
At Catalyst, People are the heartbeat of our company. We believe that good quality people will have a positive impact on our business. We are looking for a skilled Data Engineer to join our growing team. If you are passionate about being part of the team, building some of the most critical products, and Working alongside teams in the industry across product, engineering, and design, Let’s join us!
Job Description:
- Develop data models and maintain company metrics and dashboard.
- Develop and maintain ETL data pipelines.
- Do automate testing to ensure data quality.
- Translates complex functional and technical requirements into detailed design and high performing data applications.
- Research or explore any new technologies to complement or improve requirements and current technologies.
- Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
Requirements:
- Possess at least 2 years of experience in Data Engineering. Experienced working in e-commerce or marketplace is preferred.
- Bachelor Degree in Computer Science, IT, Mathematics or related field.
- Strong proficiency in Python, R, and SQL.
- Strong data modeling knowledge.
- Strong foundation in Data Query/Manipulation.
- Have experience managing and designing data pipelines, debugging data issues.
- Experienced in DBT (Data Build Tools) and Snowflake.
- Experience working with complex ETL and Data warehouse will be a bonus.
