1,683 Python Engineer jobs in the Philippines

Responsibilities

• Write effective and scalable code.
• Develop back-end components to improve responsiveness and overall performance.
• Integrate user-facing elements into applications.
• Test and debug programs.
• Improve functionality of existing systems.
• Implement security and data protection solutions.
• Assess and prioritize feature requests.
• Coordinate with internal teams to understand user requirements and provide technical solutions.

Qualifications

• BS in Computer Science, Engineering or relevant field.
• Knowledgeable on machine learning and other AI technology or framework a big plus.
• Expertise in at least one popular Python framework (like Django, Flask or Pyramid).
• Knowledge of object-relational mapping (ORM).
• Familiarity with front-end technologies (like JavaScript and HTML5).
• Good problem-solving skill.
• Working experience on C/C++ a big plus.

Join our Data and Analytics team and be part of our journey to continually improve the robustness of our solutions and the speed with which we can respond to our business's needs.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?
Working directly with our Commodities and Global Markets business, you will develop data analytics capabilities and solutions, such as the data catalogue, data science workbench, visualisation tools and real-time analytics. You'll be working with our public-cloud based data lake and data pipelines for internal operational and external fundamental and alternative market data.

What You Offer

• 1+ year of experience in developing, debugging and running Python code in production
• An interest in data and automation
• A self-starter with the ability to solve problems
• Able to communicate effectively
• Exposure to open-source data stack (Parquet/Iceberg, Presto/Trino, Airflow, Hive), cloud data warehouse technology (AWS Redshift, Spectrum) and data science platforms (Dataiku) is an advantage.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What We Offer
Benefits
At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

• 1 wellbeing leave day per year
• 20 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers
• 5 days carers leave of immediate family members on top of annual leave
• 2 days of paid volunteer leave and donation matching
• Voluntary parental medical insurance plan for married employees
• Wellbeing benefits, sessions and events to support your physical, mental and financial wellbeing, including a comprehensive medical and life insurance cover
• Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

About Technology
Technology enables every aspect of Macquarie, for our people, our customers and our communities. We're a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow's technology solutions.

Our commitment to diversity, equity and inclusion
We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

About Arcanys

Arcanys launched in 2010 to help entrepreneurs and innovators from Australia, Europe and other parts of the globe accelerate their software development with dedicated remote engineers from the Philippines.

Why work with us?

There's a unique spirit to Arcanys—manifested in our amazing talents, passion for technology, and a strong focus on everyone's career and personal development. As a company rooted in people, we make a point to offer exciting work opportunities and foster a culture that everyone can meaningfully contribute to.

Join us as a: 
Python Data Engineer 

In this role you'll get to:

• Develop scalable, fault-tolerant, well-documented data pipelines
• Collaborate with other engineers, testers, designers, and product owners to develop a product
• Proactively identify and discuss possible issues in the system at any given time

What you'll need to succeed:

• Preferably at least 5 years of work experience in backend development, including 2 years in Python.
• Extensive knowledge in SQL, and data management in relational and NoSQL databases
• Knowledge in Database Modeling, Normalization, Indexing and Query Optimization
• Knowledge in data processing (batch, stream), ETL/ELT pipelines
• Experience in cloud computing (AWS, Azure, GCP), and data warehousing is a plus
• Bonus if you have experience in Django, FastAPI, or other libraries like Pandas and Numpy

The Perks:

We like to make sure the talent is well taken care of, and here are just some of the benefits you will enjoy:

• Top compensation based on expertise – we are only looking for top talent and pay accordingly.
• Long-term work from home + allowances - we let you work from the comfort of your home + amazing allowances you get to enjoy
• Reimbursable allowance of up to 15K for your home office setup
• Standard 5 day work week from Monday to Friday.
• Flexible working schedule. You can choose your working hours (within reason).
• Flat management style and open-door policy - no micromanagement and your voice is being heard
• Work with the latest technologies - you can hone your skills and work with Australian and European clients + a chance to earn more through our self-training program.
• Enrolment to HMO for a maximum of 3 immediate dependents on your 1st day.
• Incentive-based wellness program.
• Toastmasters, English classes, and other learning opportunities.
• Free consultations with Arcanys registered nutritionist-dietitians.
• Free access to our very own Arcanys CrossFit gym (or get a company-sponsored membership in a different gym, whichever suits your needs best).

A Data Engineer with Python and Azure Databricks is responsible for designing, building, and maintaining scalable and robust data pipelines and data solutions within the Azure ecosystem, leveraging Databricks and Python for development.

Key Responsibilities:

• Data Pipeline Development:
• Design, develop, and maintain efficient and scalable ETL/ELT processes using Azure Databricks, PySpark, and Python to ingest, transform, and load data from various sources into data lakes, data warehouses, or other analytical systems.
• Azure Databricks Expertise:
• Utilize Databricks features, including Delta Lake, notebooks, and optimized Spark clusters, to build and manage data processing workflows.
• Data Integration:
• Integrate data from diverse sources such as relational databases, APIs, cloud storage, and streaming platforms, ensuring data quality and consistency.
• Performance Optimization:
• Optimize data pipelines and processing workflows for performance, efficiency, and cost-effectiveness within the Azure environment.
• Data Governance & Security:
• Implement data quality checks, ensure data security and compliance with relevant regulations, and manage access controls.
• Collaboration:
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions that support business needs.
• Troubleshooting & Support:
• Monitor data pipeline performance, troubleshoot issues, and provide ongoing support and maintenance for data solutions.
• Documentation:
• Create and maintain technical documentation, including data models, pipeline designs, and best practices.

Required Skills and Qualifications:

• Programming Proficiency:
   Strong expertise in Python and PySpark.
• Azure Platform Knowledge:
   In-depth understanding of Azure services relevant to data engineering, including Azure Databricks, Azure Data Lake Storage, Azure Data Factory, and potentially Azure Synapse Analytics.
• Big Data Technologies:
   Experience with Apache Spark and distributed computing concepts.
• Data Warehousing & ETL:
   Solid understanding of data warehousing principles, data modeling, and ETL/ELT processes.
• SQL Skills:
   Proficiency in SQL for data manipulation and querying.
• Problem-Solving:
   Excellent analytical and problem-solving skills to address complex data challenges.
• Communication:
   Strong communication and collaboration skills to interact effectively with technical and non-technical stakeholders.

Preferred Qualifications (Optional):

• Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional, Microsoft Certified: Azure Data Engineer Associate).
• Experience with other data tools or platforms (e.g., Apache Kafka, Snowflake, Power BI).
• Familiarity with Agile development methodologies.

About the role

We are seeking a talented and experienced Mid Python Engineer to join our dynamic team at HR Primo Management Services. As a Mid Python Engineer, you will play a crucial role in developing and maintaining our cutting-edge software solutions, helping us stay at the forefront of the Information & Communication Technology industry. This is a full-time position based in Manila City, Metro Manila.

What you'll be doing

• Develop & Innovate: Design, develop, and maintain high-performance, scalable, and reliable backend systems using Python, with a strong emphasis on data integrity and security.
• Build & Deploy: Implement efficient solutions using Python frameworks such as Django, Flask, or FastAPI, ensuring seamless functionality and deploying them into production environments.
• Collaborate & Scale: Work closely with Product, Frontend, and DevOps teams to deliver solutions that are scalable, maintainable, and extensible.
• Quality Assurance: Ensure high code quality by proactively identifying performance bottlenecks, debugging, and resolving issues to enhance user experience.
• Contribute & Grow: Participate in technical discussions, solution design, and code reviews to uphold engineering best practices and standards.
• Technical Leadership: Mentor junior engineers, share knowledge, and contribute to the technical growth of the development team.

What we're looking for

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Backend Development Experience: 4–5 years of hands-on experience building and deploying scalable, high-performance backend systems.
• Python Expertise: Strong proficiency in Python and frameworks such as Flask, FastAPI, Pydantic, and SQLAlchemy. Experience in asynchronous programming is a strong advantage.
• API Development: Proven experience in designing and building RESTful APIs. Familiarity with GraphQL and API documentation tools is a plus.
• Solution Design: Solid understanding of software design patterns and microservices architecture. Experience designing fault-tolerant, scalable systems.
• Database Skills: Proficient in SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, Cassandra) databases, including schema design, performance tuning, and query optimization.
• Cloud Experience: Practical knowledge of AWS (e.g., Lambda, EC2, ECS, S3, RDS). Experience with serverless architecture is a strong plus.
• Messaging Systems: Familiarity with message brokers such as Kafka, RabbitMQ, AWS SQS/SNS, or Kinesis.
• DevOps Tools: Hands-on experience with CI/CD pipelines, Docker, and Kubernetes.
• Security Best Practices: Deep understanding of application security, including encryption, authentication, authorization, and common vulnerability protection.
• Analytical Thinking: Strong problem-solving skills and ability to debug complex systems efficiently.
• Performance Optimization: Ability to diagnose and resolve performance issues at both application and infrastructure levels.
• Collaboration & Communication: Excellent communication skills; capable of working across teams and conveying technical concepts to non-technical stakeholders.
• Agile Environment: Experience working within Agile/Scrum methodologies.
• Testing: Proficient in writing and executing unit, integration, and end-to-end tests.
• Continuous Learning: A growth mindset with a passion for staying current on new technologies and industry trends.

Job Type: Full-time

Benefits:

• Opportunities for promotion
• Promotion to permanent employee
• Work from home

Application Question(s):

• What is your expected salary range for this role? Feel free to include any benefits or compensation you're looking for. (Required)
• Reason for applying for new opportunities? (Required)
• Availability to start (required)

Experience:

• Backend Developer: 5 years (Preferred)
• Python: 5 years (Preferred)

Work Location: Remote

Overview:

We are looking for a
Senior Python Engineer
with strong experience in
API development, cloud deployment, and AI/LLM integration
. This role is open to both backend-focused and full-stack developers who are passionate about building scalable systems and applying AI to real-world applications.

Key Responsibilities:

• Design, build, and optimize
  RESTful APIs
  using
  FastAPI
  or
  Flask
  .
• Implement best practices in coding, authentication/authorization, and API architecture.
• Integrate
  LLM APIs (OpenAI, Hugging Face, etc.)
  into applications to power AI-driven features.
• Develop and maintain
  RAG pipelines
  and related AI adoption workflows.
• Deploy and maintain applications in
  AWS or GCP
  , leveraging CI/CD pipelines.
• (For full-stack devs) Build or support
  front-end components
  (React/Dash) to connect with backend and AI features.
• Ensure
  observability
  with logging, debugging, and monitoring practices.
• Contribute to clear documentation and collaborate effectively with cross-functional teams.

Qualifications:

• 3–5+ years of experience as a
  Python Engineer / Developer
  .
• Strong skills in
  Flask
  or
  FastAPI
  (API development).
• Experience with
  SQL databases
  (PostgreSQL, MySQL, SQLite); exposure to
  NoSQL
  a plus.
• Hands-on experience with
  AI/LLM APIs
  (OpenAI, Hugging Face, LangChain, etc.).
• Familiarity with
  prompt engineering
  and AI adoption strategies.
• Cloud deployment experience with
  AWS or GCP
  , including CI/CD pipelines.
• For full-stack:
  React or Dash
  experience is highly valued.
• Strong coding, problem-solving, and communication skills.

Nice-to-Have Skills:

• Knowledge of
  RAG (Retrieval-Augmented Generation)
  and
  MCP protocol
  .
• Containerization tools (
  Docker, Kubernetes
  ).

Why Join Us?

• Be part of a pioneering team driving
  AI adoption
  in real-world applications.
• Work with modern tech stacks (Python, FastAPI, AI/LLMs, cloud).
• Competitive compensation and growth opportunities.
• Flexible/hybrid(3x a week onsite) work setup.

• Design, develop, and maintain scalable applications using Python/FastAPI, Vue3, and Flutter.
• Build efficient, reusable, and reliable code while ensuring high performance and responsiveness.
• Integrate and manage backend services using Firebase, BigQuery, and Cloud Run within the Google Cloud Platform (GCP) ecosystem.
• Collaborate closely with product managers, designers, and other engineers to deliver high-quality software solutions.
• Conduct code reviews, write unit tests, and follow best practices to maintain clean and maintainable codebases.
• Troubleshoot, debug, and optimize applications for maximum performance.

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 3–5 years of experience as a Software Engineer.
• Strong proficiency in Python (preferably with FastAPI).
• Solid experience with Vue 3 and Flutter for web and mobile development.
• Experience working with Firebase, BigQuery, and deploying services on Cloud Run.
• Familiarity with additional GCP services and cloud-based architectures.
• Knowledge of testing frameworks and automation.
• Experience working in Agile/Scrum teams.
• Strong understanding of modern software development practices, version control (Git), and CI/CD pipelines.
• Good communication and teamwork skills.
• Independent, detail-oriented, and able to meet deadlines in a fast-paced environment.

• Onboarding Training
• Mentoring and Coaching sessions
• Flexible Working Hours
• Flexible work set up (onsite only on a need basis)
• Leave Entitlement upon onboarding
• Unused Leave Converted into cash
• Health Bonus

• HMO up to 150,000.00 MBL (maximum benefit limit) upon regularization with comprehensive coverages such as:

• • Pre-existing conditions are covered
  • Out-patient Reimbursement
  • Optical Assistance
• Training Budget
• Performance Bonus
• 5th Year Bucket Item Incentive

• Design, develop, and maintain scalable applications using
  Python/FastAPI
  ,
  Vue3
  , and
  Flutter
  .
• Build efficient, reusable, and reliable code while ensuring high performance and responsiveness.
• Integrate and manage backend services using
  Firebase
  ,
  BigQuery
  , and
  Cloud Run
  within the Google Cloud Platform (GCP) ecosystem.
• Collaborate closely with product managers, designers, and other engineers to deliver high-quality software solutions.
• Conduct code reviews, write unit tests, and follow best practices to maintain clean and maintainable codebases.

• Troubleshoot, debug, and optimize applications for maximum performance.
  Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

• 3–5 years of experience as a Software Engineer.
• Strong proficiency in
  Python
  (preferably with
  FastAPI
  ).
• Solid experience with
  Vue 3
  and
  Flutter
  for web and mobile development.
• Experience working with
  Firebase
  ,
  BigQuery
  , and deploying services on
  Cloud Run
  .
• Familiarity with additional GCP services and cloud-based architectures.
• Knowledge of testing frameworks and automation.
• Experience working in Agile/Scrum teams.
• Strong understanding of modern software development practices, version control (Git), and CI/CD pipelines.
• Good communication and teamwork skills.

• Independent, detail-oriented, and able to meet deadlines in a fast-paced environment.
  Benefits

• Onboarding Training

• Mentoring and Coaching sessions
• Flexible Working Hours
• Flexible work set up (onsite only on a need basis)
• Leave Entitlement upon onboarding
• Unused Leave Converted into cash
• Health Bonus

• HMO up to 150,000.00 MBL (maximum benefit limit) upon regularization with comprehensive coverages such as:

• Pre-existing conditions are covered

• Out-patient Reimbursement
• Optical Assistance
• Training Budget
• Performance Bonus
• 5th Year Bucket Item Incentive

Design, develop, and maintain scalable applications using Python/FastAPI , Vue3 , and Flutter .

Build efficient, reusable, and reliable code while ensuring high performance and responsiveness.

Integrate and manage backend services using Firebase , BigQuery , and Cloud Run within the Google Cloud Platform (GCP) ecosystem.

Collaborate closely with product managers, designers, and other engineers to deliver high-quality software solutions.

Conduct code reviews, write unit tests, and follow best practices to maintain clean and maintainable codebases.

Troubleshoot, debug, and optimize applications for maximum performance.

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

3–5 years of experience as a Software Engineer.

Strong proficiency in Python (preferably with FastAPI ).

Solid experience with Vue 3 and Flutter for web and mobile development.

Experience working with Firebase , BigQuery , and deploying services on Cloud Run .

Familiarity with additional GCP services and cloud-based architectures.

Knowledge of testing frameworks and automation.

Experience working in Agile/Scrum teams.

Strong understanding of modern software development practices, version control (Git), and CI/CD pipelines.

Good communication and teamwork skills.

Independent, detail-oriented, and able to meet deadlines in a fast-paced environment.