Mobius helps you provide quality, best-in-nation tech talent to support your business. together with you, we turn ideas into digitalized reality. From tech consulting to outsourcing, Mobius helps you reach your tech goals.
Our dedicated and agile-ready professionals are here to support your business's digital journey.

Mobius Digital

We are hiring developers for projects with one of the biggest reputable conglomerates in Indonesia.

With us, you will be exposed to many exciting challenges and opportunities to grow through developing our websites, mobile apps, mobile websites, and applications across our business units.

Programming stack we are looking for : Data Scientist

Do reach out to us if you believe you have the relevant skills, looking forward to working together with you!

Data Scientist

PT BFI Finance Indonesia Tbk (BFI Finance) is one of the long-established pioneers in the financing sector in Indonesia. Founded in 1982, BFI Finance is recognized as a company with a wide network, supported by more than 200 financing outlets across provinces. In 1990, the Company became one of the first multifinance companies to list its shares on the Jakarta Stock Exchange and Surabaya Stock Exchange (both now known as IDX), with the ticker code BFIN.

PT BFI Finance Indonesia Tbk

a. Model Development and Deployment 
- Design, build, and deploy machine learning models for credit scoring. Perform risk evaluation and business impact analysis and making suggestion to Risk counterparts. 
- Develop and perform testing on model implementation logics.

b. Feature Engineering and Model Improvement 
- Conduct analysis to improve model performance, through research in algorithms or feature engineering.

c. Data Analysis and Insights 
Work along with Risk counterparts to analysis portfolio and acquisition performance. Fine tuning Risk rule engines and drive improvement to implementation.

Senior Data Scientist

<ol>
	<li>Design and implement scalable data pipeline using modern data platform (Spark, Flink, Kafka, Airflow)</li>
	<li>Build and manage ETL/ELT processes to ingest data from various sources (databases, APIs, files, message queues)</li>
	<li>Develop and maintain data models and data warehouse / datalake architectures</li>
	<li>Ensure high data quslity and implement data validation, observability and monitoring frameworks</li>
	<li>Collaborate with other team such as data analyst, data scientist and business stakeholders to understand data requirements and deliver data solutions</li>
	<li>Optimize performance of big data processing jobs and ensure cost efficiencient data infrastructure</li>
	<li>Advocate for best practices in data engineering, including documentation, testing, version control and other with team</li>
</ol>

Data Engineer

LeapFroggr Inc. is a technology company that operates SeriousMD & NowServing. Together, SeriousMD & NowServing is a healthcare platform, whose sole mission is to "improve healthcare through technology."

Our company culture revolves around excellence, family and community, cooperation and sharing.

LeapFroggr Inc.

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

<ul>
	<li>Analyze large amounts of information to discover trends and patterns</li>
	<li>Analyze data related to or within the scope of finance to develop company business recommendations (Business Improvement)</li>
	<li>Create data modeling to enrich the analysis of company financial parameters</li>
</ul>

Financial Analytic Specialist

<ol>
	<li>Support kebutuhan user pada area Production Big Data</li>
	<li>Troubleshoot Issue and Fix EOD and EOM area Production Big Data</li>
	<li>Memberikan support &amp; manage area production big data</li>
	<li>Melakukan trouble shoot issue atau fixing pada environment Production Big Data</li>
	<li>Mengatur &amp; melakukan improvement pada production process dan SLA data pipeline</li>
	<li>Bekerja sama dengan team data scientiest untuk memonitoring model yang sudah di-deploy ke production</li>
</ol>

Data Analytics Operation

Bumi Amartha Teknologi Mandiri or “AMARTEK” was established to provide information technology solutions. Our mission from the very first day has been to cultivate professional relationships with our clients to provide effective and reliable information technology solutions for their needs. The team at "AMARTEK" is equipped with a highly developed skillset developed over decades of experience not only in information technology but also in business processes across a range of industry sectors. This business experience makes us uniquely positioned to offer solutions promising greater operational efficiency, productivity gains and cost savings for each of our clients, regardless of their industry.

As an established technology-intensive company, we pride ourselves on providing a comprehensive suite of solutions comprising of Infrastructure Consultancy, on/offsite services, Custom software and web development, Talent Augmentation, and enterprise architecture consulting. Our team consistently delivers state-of-the-art solutions in various areas including, but not limited to: integrated business solutions, system applications, product development and professional services.

At "AMARTEK", we guarantee rapid, reliable and robust information technology solutions that work. 

PT Bumi Amartha Teknologi Mandiri

<ul>
	<li>Translate complex business logic into tested, version-controlled data models and marts that enable self-service analytics</li>
	<li>Build and maintain scalable ELT pipelines in SQL, Python, and Java across Azure Cloud Platform, Google Cloud Platform, and on-prem sources</li>
	<li>Orchestrate batch and streaming workflows to deliver low-latency financial data</li>
	<li>Implement CI/CD and infrastructure-as-code with Git/Bitbucket, Terraform, and Helm for repcatable, augitable deployments</li>
	<li>Enforce data quality, lineage, encryption, masking, and RBAC throughout the data-lifecycle</li>
	<li>Develop and optimise Tableau dashboards and other BI assets, ensuring KPIs align with business definitions</li>
	<li>Partner with data scientists, analysts, and product teams to frame experiments and deliver actionable insights</li>
	<li>Tune warehouse performance-partitioning, clustering, caching-to minimise cost and latency</li>
	<li>Maintain comprehensive documentation, metadata catalogues, and data-lineage assets for audit and compliance</li>
	<li>Continuously evaluate and adopt emerging data-engineering practices (dbt, DalaOps, Gen AI) Lo raise team productivily</li>
</ul>

Analytics Engineer

CODE.ID was previously a business unit of INTEGRASI, a system integrator that also provided software services established in 1999. In 2014, CODE.ID becomes an independently run company which currently has around 100 passionate developers with a myriad numbers of skill sets. 

CODE.ID has been established since 1999 and became a publicly listed company in Jakarta Stock Exchange in 2001 - as PT Integrasi Teknologi Tbk. It was back to be a private company in 2007.


Our Success Stories:

We successfully developed, deployed, and supported Information Technology Infrastructure for Komisi Pemilihan Umum (KPU) or the National Election Commission in 2004. We developed the election application and also distributed, installed, and  supported (7x24 hour) two data centers and 8000 VPN connected personal computers in 5,000 locations in the cities, rural areas, and remote areas all over Indonesia.

Code.id

<ul>
	<li>Design, build, and maintain scalable and efficient ETL/ELT data pipelines using a variety of tools and technologies.</li>
	<li>Manage and optimise our data warehouse, preferably with experience in Snowflake.</li>
	<li>Collaborate with business intelligence professionals to ensure data is structured for optimal performance in reporting and analytics, with a strong preference for experience with tools like Sigma Computing or similar BI platforms.</li>
	<li>Monitor data pipelines for performance and reliability, and troubleshoot issues as they arise.</li>
	<li>Implement data governance and security policies to ensure data integrity and compliance.</li>
	<li>Collaborate with cross-functional teams to identify data needs and develop solutions that meet business requirements.</li>
	<li>Stay up-to-date with industry trends and best practices in data engineering to continuously improve our data systems.</li>
</ul>

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