14 Big Data Technologies jobs in the Philippines
Data Engineering Specialist
Posted 449 days ago
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Job Description
The Data Engineer helps manage data sources and environments, utilizing large data sets and maintaining their integrity to create models and apps that deliver insights to the organization.
You will:
Build and manage data models that bring together data from different sources.Help consolidate and cleanse data for use by the modeling and development teams.Structure data for use in analytics applications.Lead a team of Data Engineers effectivelyRequirementsMust-Have:
A minimum of 2 years of Advanced SQL knowledge and experience working with relational databasesA minimum of 2 years of Familiarity and hands-on experience in different SQL objects like stored procedures, functions, views, etc.,A minimum of 2 years Building data flow components and processing systems to extract, transform, load, and integrate data from various sources.College Graduate - Bachelor’s degree or equivalentGood to have :
A Minimum of 2 years of strong cloud technology experience A minimum of 2 years of hands-on experience in advanced Excel topics such as cube functions, VBA Automation, Power Pivot, etc. Understanding of sales processes and systems.Master’s degree in a technical field.Experience with Python.Experience with quality assurance processes.Experience in project managementat least 2 years SQL experience working with relational databasesData Analytics Manager (with Data Engineering)
Posted 1 day ago
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Job Description
Were looking for a Data Analytics expert with 7+ years' experience who can drive reporting, insights, and light data engineering work to support internal teams. Youll lead dashboard and report development using Power BI, while also helping shape the backendthink building pipelines, ensuring data integrity, and connecting sources to insights.
What Youll Do:
Build and maintain Power BI dashboards for internal teams
Automate and optimize reports using SQL , Excel , and ETL tools
Collaborate with stakeholders to turn business questions into data solutions
Assist in maintaining and improving data pipelines and warehouse connections
Lead initiatives that drive data accuracy , accessibility , and impact
What Were Looking For:
7+ years in data analytics , with exposure to data engineering workflows
Expert in Power BI (DAX, Power Query), SQL, and Excel
Familiarity with ETL processes and integrating data from multiple sources
Strong communicator and stakeholder partner
A leader by actiondrives solutions, takes ownership, and delivers value
Apply now!
Data Science Trainee
Posted today
Job Viewed
Job Description
**Primary Function**
The main role of a Data Science Trainee is to gain experience in the field of Data Science. Depending on your chosen specialization, the company may require you to learn new skills. Data Science Trainees can learn all required skills for their current and future tasks by performing real technical work duties.
**Key Responsibilities**:
- Be open to learn new things and enjoy the learning journey.
- Accept lawful instructions given with regards to work and training in the workplace.
- Complete tasks that are assigned in a timely and satisfactory manner.
- Carry out any work as required by the company.
- Have a positive and good attitude towards the company providing the training, to all levels of its staff, to their colleagues, and their work.
- Always cultivate and maintain a professional image.
- Identify how to complement the formal training by self-help, attending technical webinars, taking online courses, etc.
- Help develop initiative and their innovative skills.
- Practice diagnostic skills to identify problems and offer possible solutions.
**Qualifications**:
- Bachelor's degree preferred.
- Fresh graduates of IT/Engineering or related courses and those who are from other industries who wish to pursue the Analytics career path are considered for this position.
- With exposure to Data Science projects during OJT or undergraduate years.
- Comfortable with Python and other machine-learning algorithms.
Background on SQL is a plus-factor.
**Job Types**: Full-time, Fresh graduate
**Salary**: Up to Php20,000.00 per month
**Benefits**:
- Health insurance
- Work from home
Schedule:
- 8 hour shift
- Day shift
Supplemental Pay:
- 13th month salary
Data Science Trainee
Posted today
Job Viewed
Job Description
**Primary Function**
The main role of a Data Science Trainee is to gain experience in the field of Data Science. Depending on your chosen specialization, the company may require you to learn new skills. Data Science Trainees can learn all required skills for their current and future tasks by performing real technical work duties.
**Key Responsibilities**:
- Be open to learn new things and enjoy the learning journey.
- Accept lawful instructions given with regards to work and training in the workplace.
- Complete tasks that are assigned in a timely and satisfactory manner.
- Carry out any work as required by the company.
- Have a positive and good attitude towards the company providing the training, to all levels of its staff, to their colleagues, and their work.
- Always cultivate and maintain a professional image.
- Identify how to complement the formal training by self-help, attending technical webinars, taking online courses, etc.
- Help develop initiative and their innovative skills.
- Practice diagnostic skills to identify problems and offer possible solutions.
**Qualifications**:
- Bachelor's degree preferred.
- Fresh graduates of IT/Engineering or related courses and those who are from other industries who wish to pursue the Analytics career path are considered for this position.
- With exposure to Data Science projects during OJT or undergraduate years.
- Comfortable with Python and other machine-learning algorithms.
Background on SQL is a plus-factor.
**Job Types**: Full-time, Fresh graduate
**Salary**: Up to Php20,000.00 per month
**Benefits**:
- Health insurance
- Work from home
Schedule:
- 8 hour shift
- Day shift
Supplemental Pay:
- 13th month salary
Data Science and Analytics
Posted today
Job Viewed
Job Description
- Strong analytical and problem solving skills; proficient in data analysis using statistical and data visualization tools
- Experience with data modeling concepts and business intelligence platforms;
- Familiarity with data integration, data warehouse architecture and SQL database design;
- Experience in design thinking for business problem framing
- Design, develop and implement scalable data collection systems and business intelligence solutions to address business needs including reporting, analytics and customer data platforms
- Willing to work in Santa Maria, Bulacan
- Staff house and meal provided
**Benefits**:
- Additional leave
- Company Christmas gift
- Company events
- Employee discount
- Free parking
- Health insurance
- Life insurance
- On-site parking
- Opportunities for promotion
- Paid training
- Pay raise
- Staff meals provided
- Transportation service provided
Schedule:
- 8 hour shift
- Overtime
Supplemental Pay:
- 13th month salary
- Overtime pay
- Performance bonus
COVID-19 considerations:
Following minimum health protocols
Data Science and Analytics
Posted today
Job Viewed
Job Description
- Strong analytical and problem solving skills; proficient in data analysis using statistical and data visualization tools
- Experience with data modeling concepts and business intelligence platforms;
- Familiarity with data integration, data warehouse architecture and SQL database design;
- Experience in design thinking for business problem framing
- Design, develop and implement scalable data collection systems and business intelligence solutions to address business needs including reporting, analytics and customer data platforms
- Willing to work in Santa Maria, Bulacan
- Staff house and meal provided
**Benefits**:
- Additional leave
- Company Christmas gift
- Company events
- Employee discount
- Free parking
- Health insurance
- Life insurance
- On-site parking
- Opportunities for promotion
- Paid training
- Pay raise
- Staff meals provided
- Transportation service provided
Schedule:
- 8 hour shift
- Overtime
Supplemental Pay:
- 13th month salary
- Overtime pay
- Performance bonus
COVID-19 considerations:
Following minimum health protocols
Data Science and Analytics
Posted today
Job Viewed
Job Description
- Strong analytical and problem solving skills; proficient in data analysis using statistical and data visualization tools
- Experience with data modeling concepts and business intelligence platforms;
- Familiarity with data integration, data warehouse architecture and SQL database design;
- Experience in design thinking for business problem framing
- Design, develop and implement scalable data collection systems and business intelligence solutions to address business needs including reporting, analytics and customer data platforms
- Willing to work in Santa Maria, Bulacan
- Staff house and meal provided
**Benefits**:
- Additional leave
- Company Christmas gift
- Company events
- Employee discount
- Free parking
- Health insurance
- Life insurance
- On-site parking
- Opportunities for promotion
- Paid training
- Pay raise
- Staff meals provided
- Transportation service provided
Schedule:
- 8 hour shift
- Overtime
Supplemental Pay:
- 13th month salary
- Overtime pay
- Performance bonus
COVID-19 considerations:
Following minimum health protocols
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Risk and Data Science Officer
Posted 10 days ago
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Job Description
BGC, Taguig | Hybrid (3 days on-site) | Morning Shift (9am–6pm) br>
Work Experience
-- Experience in modelling
-- Background in banking or digital banking environment is an advantage
Knowledge Areas
-- Knowledgeable in general risk modeling process
-- Skilled in developing and interpreting scorecards (Application and Behaviour Scorecards)
Competencies/Skills
-- Proficient in R, Python, SAS, or SPSS
-- Above average documentation and technical writing skills
-- Strong proficiency in MS Office, especially Excel
-- Highly analytical with strong EQ; thrives in fast-paced and dynamic environments
Risk and Data Science Manager
Posted 10 days ago
Job Viewed
Job Description
₱150K MAX | BGC, Taguig | Hybrid (3 days on-site) | Morning Shift (9am–6pm) br>
Work Experience
-- Experience in modelling
-- Background in banking or digital banking environment is an advantage
Knowledge Areas
-- Knowledgeable in general risk modeling process
-- Skilled in developing and interpreting scorecards (Application and Behaviour Scorecards)
Competencies/Skills
-- Proficient in R, Python, SAS, or SPSS
-- Above average documentation and technical writing skills
-- Strong proficiency in MS Office, especially Excel
-- Highly analytical with strong EQ; thrives in fast-paced and dynamic environments
AI & Data Science Sr. Manager
Posted 16 days ago
Job Viewed
Job Description
We're seeking an experienced and forward-thinking Senior Manager to lead our Data Science & AI initiatives. Youll take ownership of end-to-end project deliverydeveloping advanced analytics solutions and guiding a talented team to drive digital transformation across business areas like supply chain, logistics, procurement, and smart manufacturing.
Your Key Responsibilities- Lead full AI/data project lifecycle: scoping, development, validation, deployment, and monitoring.
- Collaborate with stakeholders to define analytics goals and convert them into actionable models.
- Architect AI/ML solutions using Python , cloud, and big data technologies.
- Mentor a team of data scientists and developers.
- Present insights to senior leadership and clients; support business development and proposals.
- Grow the Data Science practice and shape its long-term direction.
- Masters/PhD in Statistics, Computer Science, or related field.
- 12+ years of experience in AI, data science, or analytics.
- Expertise in Python, R, SQL , and libraries like Pandas and NumPy .
- Strong knowledge of optimization, ML, DL, NLP, simulation, and computer vision.
- Hands-on experience with cloud, Git, agile practices , and production environments.
- Deep understanding of analytics in logistics, inventory, and enterprise operations.
- Excellent communication, stakeholder management, and consulting skills.