
Job Overview
Location
Jakarta, Jakarta Special Capital Region, Indonesia
Job Type
Full-time
Category
Data Engineer
Date Posted
February 22, 2026
Full Job Description
đź“‹ Description
- • Join a dynamic and growing global Data team at 1840&Company, a company committed to excellence and innovation in its worldwide data operations and compliance efforts.
- • As a Senior Data Engineer, you will play a pivotal role in shaping and executing our data strategy, ensuring the integrity, efficiency, and scalability of our data infrastructure.
- • This is a unique opportunity to contribute to a forward-thinking organization that is proactively addressing evolving global data privacy requirements and leveraging data to drive business success.
- • You will collaborate closely with a diverse team of data professionals, including data scientists, analysts, and other engineers, across various regions, fostering a culture of shared knowledge and continuous improvement.
- • Your expertise will be instrumental in designing, building, and maintaining robust data pipelines that ingest, transform, and serve data for critical business functions, analytics, and reporting.
- • You will be responsible for architecting and implementing data solutions that meet the highest standards of quality, performance, and security.
- • This role offers the chance to work with cutting-edge technologies and methodologies in the data engineering space, pushing the boundaries of what's possible with data.
- • You will be a key contributor to our data governance initiatives, ensuring data accuracy, consistency, and compliance with all relevant regulations.
- • Proactively identify and address data quality issues, implementing automated checks and balances to maintain data integrity.
- • Develop and optimize ETL/ELT processes to handle large volumes of data efficiently and reliably.
- • Design and manage data warehouses, data lakes, and other data storage solutions, ensuring optimal performance and cost-effectiveness.
- • Collaborate with business stakeholders to understand their data needs and translate them into technical requirements and actionable data solutions.
- • Mentor junior data engineers, sharing your knowledge and best practices to foster their professional growth.
- • Stay abreast of the latest trends and advancements in data engineering, evaluating and recommending new tools and technologies to enhance our data capabilities.
- • Contribute to the development of our data architecture, ensuring it aligns with business objectives and future growth plans.
- • Implement monitoring and alerting systems to ensure the smooth operation of our data pipelines and infrastructure.
- • Troubleshoot and resolve complex data-related issues, ensuring minimal disruption to business operations.
- • Develop and maintain comprehensive documentation for data pipelines, models, and processes.
- • Drive innovation by exploring new ways to leverage data for business insights and competitive advantage.
- • You will be a critical part of a team that values collaboration, innovation, and a commitment to delivering high-quality data solutions.
- • The ideal candidate will possess a strong understanding of data modeling, database design, and data warehousing concepts.
- • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is essential for building scalable and resilient data solutions.
- • Proficiency in programming languages commonly used in data engineering, such as Python or Scala, is required.
- • You will have a proven track record of designing and implementing complex data pipelines from inception to production.
- • A deep understanding of SQL and experience with various database technologies (relational and NoSQL) will be crucial.
- • The ability to work independently and as part of a team, managing multiple priorities in a fast-paced environment, is highly valued.
- • You will be a problem-solver at heart, with a keen eye for detail and a passion for data.
- • This role is based in Malaysia, offering a fantastic opportunity to be part of our global team while working locally.
- • Contribute to the continuous improvement of our data engineering practices and standards.
- • Ensure the security and privacy of sensitive data through robust access controls and encryption methods.
- • Build and maintain data infrastructure that supports real-time analytics and decision-making.
- • Optimize data processing jobs for performance and cost efficiency.
- • Design and implement data governance policies and procedures.
- • Develop and deploy data solutions using CI/CD principles.
- • Participate in code reviews to ensure code quality and adherence to best practices.
- • Translate business requirements into technical specifications and data models.
- • Manage and monitor data storage solutions, ensuring availability and performance.
- • Troubleshoot and resolve data pipeline failures and performance bottlenecks.
- • Document data architecture, data models, and data processes.
- • Research and evaluate new data technologies and tools.
- • Collaborate with cross-functional teams to deliver data-driven solutions.
- • Mentor and guide junior data engineers.
- • Ensure data compliance with regulatory requirements.
- • Design and implement data quality frameworks.
- • Develop and maintain data dictionaries and business glossaries.
- • Optimize database performance and query execution.
- • Implement data security measures.
- • Build scalable and reliable data infrastructure.
- • Drive data innovation and adoption across the organization.
- • Foster a data-driven culture within the team and the wider company.
- • This role is an exciting chance to make a significant impact on a global scale, working with a supportive and talented team.
🎯 Requirements
- • Proven experience as a Senior Data Engineer or in a similar role, with a strong portfolio of successfully delivered data projects.
- • Expertise in designing, building, and optimizing complex ETL/ELT pipelines for large-scale data processing.
- • Proficiency in SQL and experience with various relational and NoSQL database systems (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
- • Strong programming skills in Python or Scala, including experience with data manipulation libraries (e.g., Pandas, Spark).
- • Hands-on experience with cloud data platforms such as AWS (S3, Redshift, EMR, Glue), Azure (Data Lake Storage, Synapse Analytics, Databricks), or GCP (Cloud Storage, BigQuery, Dataflow).
- • Solid understanding of data warehousing concepts, data modeling techniques (e.g., Kimball, Inmon), and data lake architectures.
- • Experience with big data technologies like Apache Spark, Hadoop, Kafka, or similar.
- • Familiarity with data orchestration tools such as Apache Airflow, Prefect, or Dagster.
- • Knowledge of data governance principles and best practices.
- • Excellent problem-solving and analytical skills, with a keen eye for detail.
- • Strong communication and collaboration skills, with the ability to work effectively in a global team environment.
- • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
🏖️ Benefits
- • Competitive salary and performance-based bonuses.
- • Comprehensive health, dental, and vision insurance.
- • Generous paid time off (PTO) and public holidays.
- • Opportunities for professional development, training, and conference attendance.
- • Flexible working arrangements and a supportive work-life balance culture.
- • Access to cutting-edge technology and tools.
- • Collaborative and inclusive work environment.
- • Opportunities for career advancement within a growing global company.
- • Regular team-building activities and social events.
- • Relocation assistance (if applicable).
- • Life insurance and disability coverage.
- • Retirement savings plan or equivalent.
- • Employee assistance program (EAP).
- • Performance recognition programs.
- • Opportunities to work on impactful, global projects.
About 1840 & Company Holdings LLC
1840 & Company is a global talent acquisition and outsourcing firm that connects businesses with pre-vetted remote professionals across finance, accounting, marketing, technology, and customer support. Founded in 2018, the company operates from Kansas City and Manila, providing scalable staffing solutions, managed services, and employer-of-record capabilities to startups and enterprises seeking cost-effective, borderless teams.
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