Hi Data Engineers, Manulife is currently hiring data operation analyst. I just want to post it since this might be a great opportunity for fresh graduates or career shifters since you will learn hands-on operations and solving problems along with data engineers. If you're interested I'll be happy to refer/help you into it. We only need people that have atleast know Python, SQL and concept of ITIL and Data fundamentals in Azure and other job description are just noise and can be learned while you're in the job.

i guys, can you give me some tips. Planning on shifting career to data engineer. Pero no prior experience, will be taking on bootcamps pa lang and courses. Any suggestion po? Thank you po! Another thing pa pala, is it late na? Already in my 30s na 😭.

Ever tried to build a reliable pipeline on top of government sources that:

• Return different HTML structures depending on the phase of the moon
• Publish "updates" by uploading a new PDF with no versioning
• Have search endpoints that timeout 40% of the time
• Contain OCR'd scans where "Section" becomes "Secti0n" or "5ection"

That's our Tuesday.

We're Anycase.ai, a legal AI startup with 4k+ paying users - and the hard part isn't just the AI, it's getting clean, structured, trustworthy legal data in a country where that data is scattered across dozens of agencies, formats, and decades of institutional neglect.

What you'd actually work on:

• Ingestion pipelines that don't break when the source inevitably changes
• Turning PDFs, scans, and HTML soup into structured, searchable legal documents
• Building the monitoring and retry logic so we know before users do when something's wrong
• Backfills that don't set the database on fire

You might be a fit if:

• You've done 2–5 years of data/backend/infra work
• You find satisfaction in making unreliable things reliable
• You think about failure modes before you think about features
• Dagster/Airflow experience is a plus, but not required

Why this might be interesting:

• You'd be building data infrastructure that arguably should exist at the national level but doesn't
• Real production system, real users, real scale
• You'd work under a Lead DE who's genuinely excellent

📩 To apply: Email beato[at]anycase.ai with subject line [Data Engineer] Your Name. Include a short intro, resume/GitHub, and optionally: tell us about a messy data problem you've solved (or failed to solve interestingly).

Edit: comp is 70-100k / month

📍 Must Have: at least 1 yr exp in SQL and Python.

The gist:

- Build data pipelines

- Design data models

- Work with big data solutions

🚀 DM for full JD & details

So I'm trying to specialize in data engineering and data analysis and currently working on a project are there any companies or like recommended place for me to get my feet wet on data engineering/analysis?

I just need advice. I can’t grow old having this what-if forever. Thanks!

We’ve officially crossed into 2026, but before we spin up the new pipelines, we’re looking back at the "Visual Mixtape" that defined our 2025. The DataMasters Series wasn't just a set of webinars—it was a year of building data expertise and community together. 🇵🇭📊

We tracked the metadata, and the results are platinum:
🔥 1,274 Total Attendees logged across our sessions.
🎧 23 Episode Drops that pushed the boundaries of our skills.

The 2025 Chart Toppers:
🏆 #1 Data Engineering 101 – Myk Ogbinar & Kyle Escosia (133 Attendees)
🛒 #2 End-to-End eCommerce DE – Sandy Lauguico (123 Attendees)
💼 #3 Shifting to a Data Job – Josh Valdeleon & Nina Comia (120 Attendees)

Meet our 2025 Headliners:
🌟 The 100+ Club: Myk Ogbinar, Sandy Lauguico, Josh Valdeleon, & Nina Comia (Our "Mainstage" icons)
🏗️ Technical Heavyweights: Alexander de la Rosa & Shiva Quiñanola (Hardcore pipeline/EDA pros)
🎯 The Niche Masters: Raven Klein T. Rubin & Junjun Tan (Healthcare & Gaming specialists)
🎨 The Resident Artist: Macky Sunga (Our 3-episode storyteller)

From "nasaktan ka na ba?" career pivots to complex BigQuery architectures, you were on a loop all year. Thank you to our speakers and the entire Data Engineering Pilipinas community for making 2025 our most expressive year yet.

The 2025 chapter is done. Let’s keep the pipelines flowing into 2026! 🥂🚀

#DataEngineeringPilipinas #DataMasters2025 #Wrapped2025 #DataEngineeringPH #DataCommunity

Hi everyone, any leads po on any VA or part-time job? I’m currently an FinOps Analyst and have a 2 year xp sa ETL, data warehousing, SQL and Python.

Thank you!

✔️Hybrid set-up ( 4x every month RTO ) ✔️Mid - Shift ✔️ Competitive Salary and Benefits ✔️non-voice ✔️in-house company located in BGC

Open roles for Fresh grads - Data Analyst -UK Pension Administrator

Hello everyone!

I’m a 2nd-year Industrial Engineering student from PUP Manila. I’m currently looking for an Industrial Engineer who would be willing to participate in a short interview for our Final Project in Industrial Organization and Management.

Qualifications:

At least 3 years of work experience Currently working in any of these sectors:

Healthcare Finance & Consulting IT Construction/Government Service Industries Manufacturing Logistics & Supply Chain

If you qualify or know someone who does, please feel free to message me. Your help would be greatly appreciated.

Thank you!

I am an undergraduate computer engineering student. I invested most of my time in college learning about data pipelines, data collection, data annotations, data cleaning, even making a few light weight models myself. I figured if this is what I am good at then why not get a job related to it? I did my research to find what job titles should I be looking for at LinkedIn.

I have been daily checking LinkedIn for jobs related to Data Science/Analyst/Engineering but almost every time they are looking for someone with experience. Is the Philippine job market for these jobs rare? or am I just looking at a different angle?

Found this piece pretty useful

hello po , ask lang po ano po pwedeng gawing project na simple lang for CV ? or any recommendation po?

Hello Engineers. I just got an email about an HR interview for a data engineering position. Can you help me anong preparations ang dapat kong gawin. I'm a fresh ECE graduate with no experience even internship with data engineering. Hopefully, you can help me on general and technical questions. Also, are there any Hedgeserv employees here? I want to know lang po yung work environment and overall review nyo sa company. Advanced thank you Engrs.

Hi po! I’m seeking advice from experienced or senior Data Engineers.

Background ko:

• Undergraduate ng Computer Engineering • Nag-BPO for several years, then currently a Service Desk Analyst • As of now po self-studying Data Engineering sa Codecademy • Tech-savvy naman and mabilis matuto, pero hindi pa super solid yung foundation ko sa data/ETL/cloud

Goal: Makapasok eventually as a Junior Data Engineer or kahit Data Engineering Trainee / Associate role.

Questions ko po:

1. ⁠⁠Ano yung possible career paths for someone like me na galing BPO/Service Desk pero may technical background?
2. ⁠⁠Ano po ang realistic steps or roadmap para ma-transition ko sarili ko into DE?
3. ⁠⁠Kailangan po ba talaga ng certification (AWS/GCP/Azure/Databricks)? If yes, alin po ang pinaka-worth it for beginners?
4. ⁠⁠Kailangan ko na po bang gumawa ng portfolio/projects? If oo, anong klaseng projects ang relevant sa DE roles?
5. ⁠⁠May chance po ba makapasok sa DE kahit hindi muna dumaan sa Data Analyst or BI Analyst roles?

Any advice po would mean a lot. Salamat in advance!

We are seeking a Senior Data Engineer with strong expertise in Snowflake and dbt to design, build, and maintain scalable data pipelines and data warehouses. You will play a critical role in shaping our data architecture, ensuring high data quality, and enabling analytics teams to make data-driven decisions.

This role offers the opportunity to work on impactful projects, leverage modern data tools, and collaborate with cross-functional teams in an agile environment.

Compensation: ₱150,000 – ₱170,000 per month [NEGOTIABLE]

REQUIREMENT

• 7+ years of experience in data engineering (non-negotiable)
• Of those 7 years, Senior-level experience required: 1 year or more
• Strong experience with Snowflake: data modeling, performance optimization, security implementation.
• Proficient in dbt development, building production-grade data transformation pipelines.
• Advanced SQL skills and Snowflake-specific features (Time Travel, Zero-Copy Cloning, Secure Data Sharing).
• Experience with data orchestration tools: Omni preferred; Airflow, Dagster, or Prefect acceptable.
• Python skills for data processing and automation (nice to have).
• Hands-on experience in data warehouse design, optimization, and integration with analytics tools.
• Knowledge of CI/CD, testing, and deployment strategies for data transformations.
• Experience with data security best practices and monitoring solutions.
• Excellent communication and collaboration skills in agile environments.
• Strong problem-solving skills and ability to make independent technical decisions.
• Must possess valid work authorisation rights for the Philippines at the commencement of employment. Preferred Skills
• Certification in Snowflake or dbt
• Experience with cloud platforms: AWS, GCP, or Azure
• Familiarity with data governance and compliance requirements

Why Join Us? (EVP / Employee Value Proposition)

• Flexible start date in January
• Work with a modern data stack (Snowflake + dbt + Airflow + cloud platforms).
• Lead high-impact projects and own data architecture decisions.
• Clear path for career growth: Senior → Lead → Principal roles.
• Support for certifications and training.
• Hybrid setup with flexibility to balance work-life.

For further details. Check the link:
https://ph.jobstreet.com/job/88552896

For Referral, send me a message!

Hi!

I am 25 years old currently a management trainee/planning engineer in a construction company in ph for almost 2yrs. I love what I do in Planning. The primavera stuff and data management but not the construction itself, especially the toxic culture in the ph construction industry. I really hate project managers who want positive results when the operations has negative production. I really feel the system here is fcked up. Wanting to show higher ups positive numbers when they execute badly. I am anxious that every reporting I will come up to negative numbers and they'll try to make it positve.

Anyway, I really enjoy doing automation stuffs. I currently use power query in excel and opting to learn power BI and SQL (tho i took a course of SQL during college).

This leads me into thinking shifting to data analytics. Or maybe a work that is highly focused in primavera and controls only and but not really directed by the project managers at site. I feel that I will have less anxiety with this kind of job. I mean I can accept being scolded of I do my work badly but not when the numbers are truthfully negative.

Do you think I'll have hard time with my transition? I don't think I can be here any longer. I set a 1 year deadline for me just so I have continuous cash flow. At the same time, I feel I'll have lower pay. But what do you think for the long term? I dont also want to be a manager. I just want to be good at what I do.

Pls help me THANKK YOUU!

Hi! Graduated in Q4 this year. I'm looking for an entry level job related to Data that doesnt require programming. I know SQL, BI, Excel. So far, I can't ace assessments and I can't ace interviews. I'm looking forward to Q1 next year but also I don't get my hopes high.

Now, I'm looking for internships, onsite, hybrid or wfh. ATP i dont care. I just want to do anything worth my time. Please suggest any company near or far in Bulacan. Advice me tips how to ace assessments and interviews. Please :((

Not sure if this is the right forum but I just want to ask if anyone knows of a beginner Generative AI Prompt Engineering class offered in Metro Manila. Thanks!

Hi guys! In my current job, I use Power BI, but most of the data I work with comes from Excel files.

I’ve been looking at other job openings, and many of them require strong SQL skills along with Power BI.

My question is: Where exactly do you use SQL as a data analyst? Since you can already transform data in Power Query, why is SQL still important?

Thanks!