Total 2,680 telecommunication engineer job vacancies in Information Technology category in The Philippines

Job Description: Data Engineer

As a Data Engineer at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 3 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

Please ensure your profile on the portal is updated with your job experience and education as these fields are being used for the purpose of filtering and shortlisting.

AVN-Digital is an expert in providing technology-enabled business solutions and services. Since inception, AVN-Digital has helped clients Cyber-security, Data Analytics and Robotic Process Automation to improve their operations and profitability, focus on core competencies and achieve business results such as increased agility, innovation and profitable growth. Our in-depth technical knowledge, industry experience, and unique methodologies enable us to successfully deliver and meet our customer’s expectations.

This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB SCOPE:

Design, develop and deliver working software applications to delight customers
Improve software quality using XP practices such as code review and unit testing
Adheres to the Software Craftsmanship Manifesto
Prepare architectural and other technical documents
Assist on: user stories elaboration, test automation and bug fixes, build and release automation

Requirements
Solid experience in any of technologies: Java, NodeJS, Ruby on Rails, .Net , Agile, ReactJs
Experience with version control systems such as Git, Continuous Integration (Bamboo/TeamCity)
Experience developing in Mac/Linux environment
Experience working in agile teams – TDD, Pair programming, Scrum, XP
Familiar with both Windows and UNIX/Linux servers, Design Patterns, Unit Testing

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or submit your CV to recruiter@aven-sys.com, Your interest will be treated with strict confidentiality.

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and company’s privacy policy.

Job Summary

We are seeking motivated Application Engineers to develop and deliver application solutions across ABI, SLT, and ATE platforms for our customers, primarily in Asia and the USA. You will work closely with cross-functional teams to define technical requirements, drive project execution, and ensure successful deployment and sustainment of solutions.

Key Responsibilities

• Develop and implement application solutions for ABI, SLT, and ATE platforms 
• Gather and define customer technical requirements, including scoping and quotation support 
• Collaborate with the Engineering and Production Centers to ensure timely and high-quality delivery 
• Manage application board design, development, assembly, and validation 
• Develop, debug, and validate test programs in accordance with customer specifications 
• Lead solution release, customer acceptance, and production roll-out activities 
• Provide sustaining engineering support to ensure long-term performance and reliability 
• Coordinate cross-functional teams and stakeholders to drive successful project delivery

Requirements

• Bachelor’s Degree in Electronics Engineering or a related discipline 
• Minimum 5 years of relevant experience in application engineering, test development, or related field 
• Good understanding of analog and digital electronics, metrology, and semiconductor test processes 
• Experience in project management, including resource planning, budgeting, and reporting 
• Strong communication and interpersonal skills; able to operate effectively in an international environment 
• Fluent in English (spoken and written) 
• Prior experience in Semiconductor industry, ATE, ABI, or SLT environments would be an advantage

Optional:

• Exposure to customer-facing or field application roles 
• Experience working in global or matrix organizations 
• Willingness to travel for customer support and deployment
  

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1765450 Pinky Lim (Lim Lee Phing)

About InterOpera

InterOpera is pioneering intelligence infrastructure to eliminate key enterprise pain points, driving cost efficiency, profitability, and scalable growth. Through our real-time decision-making capabilities, we empower clients to identify challenges, generate actionable insights, implement solutions, and track outcomes to ensure sustained success. Our solutions span sales optimization, risk management, and energy efficiency, helping businesses harness data-driven strategies and seamless automation to enhance operational resilience and long-term value creation.

We're looking for a Senior Software Engineer, AI-Native Enterprise Platform who is passionate about building production-grade AI systems, thrives in a fast-paced startup environment, and wants to shape the future of enterprise decision-making through agentic AI, RAG, and modern software engineering. We’d love to hear from you.

Responsibilities

AI-Native Product Engineering

• Architect and ship production-grade multi-step AI agents with planning, memory, and tool usage capabilities to automate enterprise workflows

• Design, build, and operate Retrieval-Augmented Generation (RAG) pipelines over proprietary enterprise datasets

• Evaluate, deploy, and optimize small/specialized LLMs (sLLMs), including self-hosted deployments for cost efficiency, latency optimization, and data residency requirements

• Develop evaluation frameworks to measure AI performance, including faithfulness, hallucination rates, latency, and instruction-following accuracy

• Integrate frontier AI models such as OpenAI, Anthropic Claude, and Google models while helping define long-term AI architecture strategies

Design & Development

• Build and maintain high-performance backend services using Python and Golang or Java

• Develop modern, responsive enterprise applications using React.js and Next.js

• Own features end-to-end, from architecture and implementation through deployment and production support

• Design scalable distributed systems that are secure, observable, and performant

• Drive cloud deployments using AWS, GCP, or Azure with strong CI/CD, Infrastructure as Code (IaC), monitoring, and operational excellence

Quality & Best Practices

• Write clean, maintainable, and well-tested code with strong focus on performance, scalability, and reliability

• Establish engineering best practices around testing, deployment, observability, and documentation

• Continuously evaluate emerging technologies and AI advancements to improve product capabilities

• Proactively identify opportunities to improve system performance, engineering productivity, and platform resilience
  

Requirements

• 1 year of professional software engineering experience building and operating enterprise-scale software systems

• Proven production experience developing AI agent systems involving multi-step reasoning, planning, memory, and tool usage

• Strong hands-on experience with Python and either Golang or Java

• Production experience with Retrieval-Augmented Generation (RAG), including vector databases, embedding pipelines, hybrid search, and retrieval optimization

• Solid frontend development experience using React.js, Next.js, or equivalent frameworks

• Strong understanding of distributed systems architecture and software scalability

• Hands-on experience building and deploying agentic AI systems using frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent orchestration frameworks

• Experience working with vector databases such as Pinecone, Weaviate, Qdrant, pgvector, or similar technologies

• Experience deploying, fine-tuning, or optimizing open-source LLMs is highly preferred

• Knowledge of AI evaluation methodologies, prompt testing, model benchmarking, and hallucination measurement is a strong advantage

Work Environment

• High-Intensity Environment: Fast-paced startup with demanding workload and potential weekend work when needed

• Flexible Hours: flexibility is required for project deadlines and global team collaboration

• Regional Collaboration: Work closely with colleagues, clients, and partners across Asia
  
  

What We’re Looking For

• Results-Oriented: Technical decision-making ability considering business impact

• Initiative: Self-starter with strong decision-making and execution capabilities

• Adaptability: Flexibility to handle changing priorities and requirements

• Growth Mindset: Commitment to continuous learning and improvement

• Collaboration: Effective communication with diverse, multicultural team members

What We Offer

• Competitive salary commensurate with experience, plus performance-based bonus

• Meaningful equity participation with ownership in the company's future growth

• Direct ownership of an AI-Native enterprise platform powering critical business decisions

• Opportunity to work alongside a senior, ambitious, and high-performing engineering team

• Learning budget for conferences, courses, certifications, books, and professional development

• Modern technology stack and the freedom to make impactful architectural decisions

• Significant visibility and measurable impact on products used by enterprise clients across the region

Data Engineer

Roles &Responsibilities

We are seeking Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

CLT Programme Overview

This role is part of a structured Company-Led Training (CLT) Programme designed to accelerate capability development in data engineering, AI, and industrial data applications.

Selected candidates will undergo structured On-the-Job Training (OJT), supported by real-world projects, mentorship, and targeted training courses. Participants will gain hands-on experience in building data infrastructure, developing ETL pipelines, managing industrial datasets, and supporting AI/ML and LLM applications within advanced manufacturing environments.

This programme equips participants with practical skills in data governance, data platforms, and secure deployment practices to support industrial AI solutions in the semiconductor and advanced manufacturing industries.

Your Role and Impact

As our Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1.      Select and manage on-premises technologies suitable for secure and efficient operations.

2.      Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.

3.      Ensure secure, maintainable, and scalable deployment of data infrastructure.

4.      Define and enforce best practices in data governance, privacy, and access control.

5.     Collaboration & Deployment.

What We’re Looking For

* Educational Background:

·      Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

·      Only Singaporean, Singapore PR can apply due to project requirements.

* Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

* Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

* Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., ML flow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

This is a full-time role for a Data Engineer. The Data Engineer will be responsible for designing and implementing scalable data pipelines, developing and maintaining data models, performing Extract, Transform, Load (ETL/ELT) processes, and managing modern data warehousing and analytics solutions—primarily utilizing Microsoft Fabric and Databricks. The role also includes building and operationalizing lakehouse architectures, ensuring data governance and security best practices, and analyzing complex datasets to support business decision-making. Collaboration with cross-functional teams to deliver high-quality data solutions is essential. 

Qualifications 

• Strong proficiency in Data Engineering, Data Modelling, and building Lakehouse/Data Warehouse solutions 

• Demonstrates strong proficiency in Medallion architecture and metadata-driven concepts. 

• Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake, Data Activator, Power BI integration) 

• Hands-on with Databricks (Spark, Delta Lake, DLT pipelines, Unity Catalog) 

• Proficiency in ETL/ELT development and orchestration within Azure ecosystem 

• Strong skills in Data Analytics using SQL, Python or PySpark 

• Knowledge of Cloud-native data platforms including Azure Data Lake, Azure Synapse, Azure Data Factory, Azure Storage, etc. 

• Understanding of data governance, security, and CI/CD best practices for cloud data platforms 

• Strong problem-solving and analytical skills 

• Ability to work independently and remotely in a fast-paced environment 

• Bachelor’s degree in computer science, Information Technology, or related field 

Avensys Consulting is an expert in providing technology-enabled business solutions and services. Since inception, Avensys Consulting has helped clients Cyber-security, Data Analytics and Robotic Process Automation to improve their operations and profitability, focus on core competencies and achieve business results such as increased agility, innovation and profitable growth. Our in-depth technical knowledge, industry experience, and unique methodologies enable us to successfully deliver and meet our customer’s expectations.

This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB SCOPE:

Design, develop and deliver working software applications to delight customers
Improve software quality using XP practices such as code review and unit testing
Adheres to the Software Craftsmanship Manifesto
Prepare architectural and other technical documents
Assist on: user stories elaboration, test automation and bug fixes, build and release automation

Requirements

Solid experience in any of technologies: Java, NodeJS, Ruby on Rails, .Net , Agile, ReactJs
Experience with version control systems such as Git, Continuous Integration (Bamboo/TeamCity)
Experience developing in Mac/Linux environment
Experience working in agile teams – TDD, Pair programming, Scrum, XP
Familiar with both Windows and UNIX/Linux servers, Design Patterns, Unit Testing

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or submit your CV to recruiter@aven-sys.com, Your interest will be treated with strict confidentiality.

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and company’s privacy policy.

Job Description

We are looking for an experienced Network Engineer to manage, maintain, and support enterprise IT infrastructure across AIX, Linux, VMware, AWS, and database environments. The role will involve server administration, cloud infrastructure support, virtualization management, system monitoring, backup and recovery, performance tuning, and troubleshooting of infrastructure-related issues.

The successful candidate will be responsible for ensuring system availability, security, performance, and reliability across on-premise and cloud environments.

Key Responsibilities

Manage and administer AIX and Linux servers, including installation, configuration, upgrades, patching, migration, and maintenance.

Support enterprise server environments running on IBM AIX, RHEL, CentOS, Ubuntu, and related platforms.

Administer VMware ESXi and vCenter environments, including VM creation, cloning, templates, snapshots, vMotion, HA, and resource configuration.

Perform daily server health checks, monitoring of CPU, memory, disk, network, and system performance.

Troubleshoot server, operating system, network, hardware, and virtualization-related issues within agreed SLA timelines.

Manage user accounts, groups, permissions, file systems, security settings, and access controls.

Configure and manage LVM, NFS, Samba, LDAP, cron jobs, Apache, and other Linux/AIX services.

Perform backup, restore, disaster recovery, root password recovery, boot issue troubleshooting, and disk replacement activities.

Administer IBM Power Systems, including HMC, LPAR, DLPAR, VIO Server, SEA, MPIO, and NIM configuration.

Support AWS cloud infrastructure, including EC2, S3, IAM, VPC, RDS, CloudWatch, Route 53, EFS, security groups, Auto Scaling, and Load Balancers.

Create and manage AWS accounts, IAM access, EC2 instances, storage volumes, snapshots, backups, and cloud monitoring alerts.

Implement AWS security best practices using IAM, KMS, GuardDuty, AWS Shield, and related services.

Support cloud migration, cost optimization, automation, and high-availability cloud infrastructure.

Install, configure, and administer MySQL, MariaDB, Percona, PostgreSQL, Redis, and MongoDB in Linux environments.

Manage database users, schemas, backup jobs, replication, alerts, slow query settings, and database troubleshooting.

Support SAN storage administration, including LUN creation, expansion, mapping to ESXi, and health monitoring.

Use monitoring tools such as Nagios, Zabbix, Grafana, Cacti, and LPAR2RRD to track infrastructure health and performance.

Create scripts using Shell scripting, Bash, Korn shell, and Ansible playbooks to automate routine administration tasks.

Coordinate with internal teams, vendors, and support engineers for issue resolution, system maintenance, and infrastructure improvements.

Job Requirements

Diploma or Degree in Information Technology, Computer Science, Engineering, or related discipline.

Minimum 8 to 10 years of experience in system administration, infrastructure support, or related IT operations role.

Strong hands-on experience in AIX and Linux system administration.

Experience with Linux distributions such as RHEL, CentOS, and Ubuntu.

Good knowledge of VMware ESXi, vCenter, VM templates, cloning, snapshots, vMotion, and HA.

Hands-on experience with AWS cloud services, including EC2, S3, IAM, VPC, RDS, CloudWatch, Route 53, EFS, Load Balancers, and Auto Scaling.

Experience in server build, migration, upgrade, patching, monitoring, backup, and recovery.

Knowledge of IBM Power Systems, including HMC, LPAR, DLPAR, VIO, SEA, MPIO, and NIM will be advantageous.

Experience in MySQL, MariaDB, Percona, PostgreSQL, Redis, or MongoDB administration.

Knowledge of SAN storage, LUN mapping, ESXi storage connectivity, and storage health monitoring.

Familiar with monitoring tools such as Nagios, Zabbix, Grafana, Cacti, or LPAR2RRD.

Able to troubleshoot hardware, OS, network, storage, database, cloud, and virtualization issues.

Experience with automation tools such as Shell scripting and Ansible.

Good understanding of IT security, access control, backup strategy, disaster recovery, and system performance tuning.

Ability to work independently and as part of a team in a fast-paced environment.

Good communication, documentation, analytical, and problem-solving skills.

Professional certifications such as IBM Certified System p Administrator AIX, ITIL, AWS, Linux, or VMware certifications will be an advantage.

Design, develop, test, and maintain software applications and systems.

Analyze user requirements and convert them into technical solutions.

Develop high-quality, scalable, and secure software applications.

Perform coding, debugging, and troubleshooting activities.

Participate in software architecture and design discussions.

Conduct unit testing and support system integration testing.

Maintain databases and optimize application performance.

Collaborate with cross-functional teams to ensure successful project delivery.

Support deployment, monitoring, and maintenance activities.

Prepare technical specifications and documentation.

Participate in Agile development processes and sprint planning.

Ensure compliance with software development standards and security requirements.

Continuously improve application functionality and user experience.

Research and implement new technologies to enhance development processes.

Company Overview

TECHCOM SOLUTIONS, founded in 2003, is a Singapore-based IT total solutions provider serving government agencies, MNCs, system integrators, educational institutions, and BFSI across Singapore and APAC. We specialize in outsourcing, managed services, and staffing solutions.

Job Summary

You will develop and optimize data integration pipelines and ETL/ELT codes using Teradata SQL, Informatica, and Apache Spark to support data warehousing and analytics. You will also automate workflows and enhance application performance to drive efficient data operations.

Responsibilities

• Develop ETL/ELT codes using Teradata SQL, Informatica PowerCenter, Apache Spark, QueryGrid, and Trino to transform and load data into Teradata data warehouses and datamarts
• Optimize and tune performance of complex data applications to reduce resource consumption and improve efficiency
• Design and implement data pipeline orchestration frameworks using GCFR, shell scripting, and BTEQ to automate end-to-end data workflows
• Integrate automation frameworks with control systems to ensure reliable and scalable data processing
• Apply CDC (Change Data Capture) concepts, preferably with Java-based implementations, to support real-time data updates
• Utilize Apache Spark and Hadoop ecosystem tools (Hive, Kafka, NiFi, Iceberg, Impala) to manage and process large-scale data sets
• Write and maintain shell scripts and BTEQ scripts to support data operations and automation tasks

Preferred competencies and qualifications

• 6+ years of relevant experience in data engineering and ETL development

Role Overview

We are seeking a skilled Software Engineer with strong experience in Java-based application development. The ideal candidate should have hands-on expertise in Spring Boot and cloud technologies, with the ability to deliver high-quality, scalable solutions in a dynamic environment.

Key Responsibilities

Design, develop, and maintain scalable backend applications using Java and Spring Boot

Collaborate with cross-functional teams to define, design, and deliver new features

Deploy and manage applications on cloud platforms (AI Cloud / relevant cloud environments)

Troubleshoot, debug, and optimize application performance

Ensure best practices in coding standards, testing, and deployment

Participate in code reviews and contribute to continuous improvement

Required Skills & Experience

Overall IT Experience:  Atleast 8 yrs

Java: 2–5 years of hands-on experience

Spring Boot: 2–5 years of experience in building microservices

AI Cloud / Cloud Technologies: 2–5 years of relevant experience

Strong understanding of RESTful APIs and microservices architecture

Familiarity with version control systems (e.g., Git)

Preferred Profile

Experience working in onsite project environments

Good problem-solving and analytical skills

Strong communication and collaboration abilities

AVN-Digital is an expert in providing technology-enabled business solutions and services. Since inception, AVN-Digital has helped clients Cyber-security, Data Analytics and Robotic Process Automation to improve their operations and profitability, focus on core competencies and achieve business results such as increased agility, innovation and profitable growth. Our in-depth technical knowledge, industry experience, and unique methodologies enable us to successfully deliver and meet our customer’s expectations.

This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB SCOPE:

Design, develop and deliver working software applications to delight customers
Improve software quality using XP practices such as code review and unit testing
Adheres to the Software Craftsmanship Manifesto
Prepare architectural and other technical documents
Assist on: user stories elaboration, test automation and bug fixes, build and release automation

Requirements

Solid experience in any of technologies: Java, NodeJS, Ruby on Rails, .Net , Agile, ReactJs
Experience with version control systems such as Git, Continuous Integration (Bamboo/TeamCity)
Experience developing in Mac/Linux environment
Experience working in agile teams – TDD, Pair programming, Scrum, XP
Familiar with both Windows and UNIX/Linux servers, Design Patterns, Unit Testing

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or submit your CV to recruiter@aven-sys.com, Your interest will be treated with strict confidentiality.

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and company’s privacy policy.

Responsibilities

• Develop secure and scalable backend system to serve millions of global users
• Implement high quality coding standards in order to deliver readable, stable and maintainable systems
• Work closely with teammates and help each other to grow through the form of code review, regular sharing sessions and project retrospectives, etc.
• Analyze requirements wisely and solve difficult problems across the stack
• Conduct technical research and propose pragmatic ways to improve tech stack for long-term engineering initiatives
• Follow and constantly improve development process

Requirements

• A degree in Computer Science, Financial technology , Information Technology or related fields
• Interested in building first-class product with talented teammates to solve challenging real world financial industry problems
• Embrace open source community and willing to give back for everyone’s good
• Capable to pick up various technologies, a fast learner and have a “get things done” mentality
• Humble to embrace better ideas from others, eager to make things better, open to challenges and possibilities
• Familiar with iterative product development style
• With 1-2 years of working experience

Exciting opportunities:

• Mobile Developer
• Web/Frontend Developer
• Backend Developer
• Full Stack Developer
• Quantitative developer
• Data Engineer

Key Responsibilities

Integration & Workflow Engineering

• Analyse and re-platform existing workflow-based integrations from one platform to another while maintaining functional parity.
• Implement orchestration logic including triggers, conditional routing, retries, exception handling, and state management.
• Design and implement automation patterns to handle platform limitations (e.g., looping, batching, pagination, throttling).
• Ensure workflows are idempotent, fault tolerant.
• Support environment-based deployments (DEV / UAT / PROD) with configuration-driven designs.

Data Engineering & ETL

• Design and build ETL pipelines for ingesting flat files (e.g., CSV) into relational databases.
• Handle schema validation, basic schema evolution, data quality checks, and error reconciliation.
• Optimize data ingestion for performance, scalability, and reliability.
• Collaborate with application teams to understand upstream and downstream data dependencies.

Cloud & Big Data Platform Contributions

• Build and maintain data pipelines on cloud-based big data platforms using distributed processing frameworks.
• Contribute to Lakehouse-style data storage that supports both batch and streaming data.
• Work with modern table formats that support incremental processing, versioning, and historical queries.
• Support use cases such as append-heavy datasets, high-write event data, and analytical queries.

Operations, Quality & Observability

• Implement logging, monitoring, and alerting for workflows and data pipelines.
• Support operational readiness including runbooks, deployment procedures, and rollback strategies.
• Participate in root-cause analysis and continuous improvement of data pipelines.
• Ensure adherence to data governance, security, and compliance standards.

Required Skills & Experience

Technical Skills

• Strong experience with workflow orchestration / integration platforms.
• Solid understanding of ETL concepts and hands-on experience with file-based ingestion.
• Proficient in SQL and working knowledge of relational databases (e.g., SQL Server or equivalent).
• Experience with distributed data processing frameworks (e.g., Spark).
• Familiarity with streaming and batch data processing concepts.
• Practical experience with cloud platforms and managed data services.
• Understanding of CI/CD principles for data and integration workflows.

Programming & Automation

• Experience with scripting or programming languages commonly used in data engineering (e.g., Python).
• Ability to build reusable utilities for batching, retries, pagination, and error handling.
• Experience with REST APIs and structured data formats (JSON, CSV).

Desired (Good to Have)

• Exposure to modern Lakehouse table formats supporting incremental processing and time travel.
• Experience with stream processing engines (e.g., Flink or Spark Streaming).
• Familiarity with query engines used for analytical access.
• Experience working in regulated environments (banking, financial services, or manufacturing).
• Knowledge of data observability and quality frameworks.

Experience Level

• Typically, 3–5 years of relevant experience in data engineering, integration engineering, or similar roles.
• Proven ability to work independently on moderately complex problems while collaborating within a larger team.

Soft Skills & Competencies

• Strong analytical and problem-solving skills.
• Ability to understand existing systems and translate requirements into working solutions.
• Clear communication with technical and non-technical stakeholders.
• Detail-oriented with a focus on reliability and maintainability.
• Comfortable working across multiple teams and applications.

We are looking for System Engineers to join the team! They will be responsible for supporting the system team in all aspects of the development, testing and implementation of in-house integrated solutions. Project phases involved include design reviews, lab setup, factory acceptance test, installation, checkout, integration and on-site acceptance test, training and documentation.

Support System Lead in system design, system documentation, development and project delivery

Formulate / revise specifications for purchase of IT equipment (e.g. servers, switches) and software, ensure successful and timely delivery by contractor

Plan, manage and perform system equipment installation

Perform system OS and software installation, configuration

Perform OS hardening according to security guidelines

Plan and conduct system acceptance tests with customer, prepare acceptance test reports

Support integration testing

Provide support during project phase and system warranty period

Prepare operator manuals and assist in conduct of user training