62 Data Engineering jobs in the Philippines

We are currently hiring for Lead Consultant - Data Architecture & Engineering . 

We look forward to reviewing your application and potentially working with you.

General Required Technical Skills:

• Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).
• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
• Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
• Experience with multiple full life-cycle data warehouse implementations
• Understanding of data architectures required to support data integration processing
• Experience with data modeling technologies such as ER/Studio, ER/Win or similar
• Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
• Demonstrated ability to quickly learn, adopt and apply new technologies
• Data profiling and creation of source to target mappings
• Ability to provision and configure Azure data service resources

Detailed Required Skills:

• Python & SQL Scripting
• SQL, PySpark
• General Cloud Architecture competency skillset
• Capable of taking requirements and building out data pipelines
• API Knowledge is required, but preference given to candidates who can create APIs

Preferred Experience/Skills/Certifications

• Microsoft Fabric
• Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
• Experience creating strategies to migrate customers from on-premise environments to Azure
• Power BI and semantic modeling
• AWS Glue & Azure Data Factory
• AWS S3 & Azure Blob
• AWS Athena & Azure Databricks
• AWS Redshift & Azure Synapse
• AWS ECS & Azure AKS

Don't miss this opportunity to take the next step in your cloud engineering career we'd love to hear from you!

About the job: Lead Consultant Data Architecture & Engineering (GDC) | REMOTE
Due to logistical reasons, only Philippine-based applicants are accepted. br>
Job Highlights:
Leadership Opportunities—This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership, all while remaining hands-on in your areas of expertise. < r>Our technology focus is on Azure—you'll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else. < r>Microsoft Partnerships—Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities and access to the teams that have built the platform. You won't find this at other places. < r>Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration.
Great working environment and company culture with a flexible work location.

Detailed Required Skills:

Python & SQL Scripting
SQL, PySpark
General Cloud Architecture competency skillset—capable of taking requirements and building out data pipelines < r>API Knowledge is required, but preference given to candidates who can create APIs
Preferred Experience/Skills/Certifications:

Microsoft Fabric
Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
Experience creating strategies to migrate customers from on-premise environments to Azure
Power BI and semantic modeling
AWS Glue & Azure Data Factory
AWS S3 & Azure Blob
AWS Athena & Azure Databricks
AWS Redshift & Azure Synapse
AWS ECS & Azure AKS



General Required Technical Skills:
Experience leading small- to medium-sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, and representing the team in Agile ceremonies and client meetings).
Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
Implementing data architectures to support a variety of data formats and structures, including structured, semi-structured, and unstructured data
Experience with multiple full life-cycle data warehouse implementations
Understanding of data architectures required to support data integration processing
Experience with data modeling technologies such as ER/Studio, ER/Win or similar
Experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
Demonstrated ability to quickly learn, adopt and apply new technologies
Data profiling and creation of source-to-target mappings
Ability to provision and configure Azure data service resources

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!

Industrial Engineering - M&A & Procurement Data Support
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
**Job Overview**
TE Connectivity's Strategic Sourcing Teams develop and implement multi-year strategies for assigned commodities, suppliers and parts/services to achieve established goals in supplier quality, delivery, price and service. They align strategy and execution with cross-functional partners such as engineering, manufacturing, product management and functional owners. They execute the competitive bid, negotiation, contracting processes and/or technical continuous improvement for assigned commodities or services; collaborate across Business Units and cross-regions for optimal TE leverage. Our teams demonstrate a high level of expertise in procurement competencies (business/supply chain acumen, negotiation, sourcing strategy development and execution, global savvy, and project and product lifecycle management) and ensure results are delivered compliant with TE policies and procedures.
**What your background should look like:**
**Competencies**
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
Location:
Muntinlupa, 00, PH, 1780
City: Muntinlupa
State: 00
Country/Region: PH
Travel: None
Requisition ID: 138061
Alternative Locations:
Function: Procurement
TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.

"Must have requirements:
- At least 1-3 years experience with Data Engineering/Processing br>- Experienced with Javascript programming, Python, and SQL
- Hands on experience with Big Data or Cloud Data tools (Databricks, Hadoop, Azure Data Factory, AWS, PySpark)
- Exposure with Big Data or Cloud Data projects
Good to have:
- Exposure with AI or Machine Learning
- Experience with data engineering trainings or bootcamps"

Job Summary:
We are looking for a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support business intelligence, analytics, and data science initiatives. You will work closely with data analysts, data scientists, and other stakeholders to ensure the efficient flow and quality of data across systems. br>
Key Responsibilities:
Design, develop, and manage ETL/ELT pipelines to ingest data from various internal and external sources.
Build and maintain data architectures (databases, data warehouses, data lakes, etc.).
Ensure data quality, integrity, and security throughout the data lifecycle.
Optimize data workflows for performance and scalability.
Collaborate with data analysts and scientists to provide clean, reliable, and structured data for reporting and modeling.
Implement monitoring and logging tools to track pipeline health and performance.
Participate in data modeling, schema design, and documentation of data systems.
Support real-time and batch data processing needs.
Evaluate and recommend new tools and technologies for data management and processing.

Qualifications:
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. < r>Proven experience as a Data Engineer or in a similar role.
Proficiency in SQL, Python, or Scala.
Experience with data pipeline tools (e.g., Apache Airflow, Talend, Luigi).
Familiarity with data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery).
Experience with cloud platforms (AWS, Azure, or GCP) and cloud data tools.
Knowledge of data modeling, schema design, and data governance practices.
Strong analytical, problem-solving, and communication skills.
Preferred Skills:
Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).
Experience with DevOps or CI/CD tools related to data engineering.
Familiarity with BI tools (e.g., Tableau, Power BI, Looker) is a plus.

Work Schedule:
5 days a week - Onsite
Office Hours: 8:00AM-6:00/7:00AM-5:00PM
2 Days Off (Weekends)

The Data Engineer is responsible for designing robust, scalable, and secure data models to support application development across multiple systems.
Collaborate with developers to optimize backend data structures for new an existing applications. br>Serve as the go-to resource for data-related issues across software systems, including ERPs, CRMs, and internal platforms.
Support performance tuning, indexing, and query optimization to ensure efficient database operations.
Prepare and transform data from various sources for consumption by BI/reporting tools.
Work closely with the reporting team and business units to ensure accurate, timely, and accessible datasets. Support data integration pipelines for dashboards, analytics, and executive reports.
Act as a trusted representative of the IT team in meetings with the management, department heads, and business leaders.
Gather reporting and application-related requirements and translate them into scalable data solutions. Communicate complex technical topics clearly to non-technical stakeholders.

Job Qualifications
Education: Bachelors Degree in Computer Science, Engineering, Information Technology, or Accounting.
Strong background in SQL, ETL, and relational database design.
Proficiency in BI tools (Power BI, Tableau, etc.).
Familiarity with data modeling, CI/CD, and data governance best practices.
Excellent problem-solving and analytical skills.
Strong communication and teamwork capabilities.
Ability to manage workload independently and prioritize tasks efficiently.

5 days a week
Onsite
Office Hours: 8:00AM-6:00/7:00AM-5:00PM
2 Days Off (Weekends)

PHP 40-50,000.00

DIRECT HIRING
br>What you'll be doing:
Develop, optimize, and maintain data pipelines and data architectures.
Perform root cause analysis on internal and external data issues, providing solutions to address business questions and identify improvement opportunities.
Build processes supporting data transformation, metadata management, dependency management, and workload orchestration.
Collaborate with product teams, data analysts, and other stakeholders to ensure data quality and alignment with business requirements.
Work with relational and NoSQL databases to develop solutions that manage large, complex datasets.
Optimize ETL processes and work with data governance teams to ensure regulatory compliance.
Monitor and improve data pipeline performance, scalability, and reliability.
Troubleshoot and resolve data-related issues, ensuring timely and accurate data availability.
Create and maintain documentation for data pipelines, architectures, and systems.
Ensure data governance practices are followed, including data validation, data lineage, and quality checks.

What we're looking for:
Must have a Bachelor’s degree in Computer Science, Statistics, Information Systems or related quantitative field. < r>3+ years of experience in a Data Engineer or Data Operations role.
Proficiency in SQL and experience with relational databases (e.g. Postgres, MySQL) and NoSQL databases
Hands-on experience building and optimizing data pipelines, data workflows and data architectures.
Experience working with cloud-based data platforms, particularly AWS services such as Redshift, EC2, RDS, and S3.
Familiarity with data integration tools such as AWS Glue, Informatica, and Talend.
Experience with scripting languages like Python, Java, etc. for data engineering tasks.
Strong understanding of data governance, data quality, and data security principles.
Excellent problem-solving, analytical skills, and the ability to interpret complex data sets.
Excellent communication skills to collaborate with cross-functional teams and non-technical stakeholders.
Strong project management and organizational skills, with the ability to manage multiple tasks effectively.
Self-motivated, proactive, and comfortable working independently and in teams.
Strong focus on data-driven decision-making and continuous improvement of data processes
Willing to work onsite (4x a week onsite, once a week remote) from our client's office in Pasay on a day shift under an initial 6-month contract, with the possibility of an extension.
Willing to start work immediately.

Data Engineer
**Position Title - Data Engineer**
**About Advanced Energy**
Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.
**Responsibilities:**
+ Work with business to understand their current state architecture and contributing data sources, technologies, interfaces, performance issues and system configurations.
+ Work closely with the team across the overall data warehousing program including data acquisition, data curation and data syndication.
+ Apply knowledge of the Microsoft platform tooling involved in successful Azure implementations.
+ Serve as the subject matter expert with respect to Azure, cloud applications and system administration best practices.
+ Experience designing data lakes, database schemas and data models for large scale data platform implementation on Azure.
+ Develop system integrations using, Azure Logic Apps, Integration services, Power Automate, PowerApps, etc.
+ Perform project management activities including project documentation, business requirements and project tracking.
+ Ensuring data quality and consistency through data cleaning, transformation, and integration processes.
+ Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance.
+ Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions.
+ Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information.
+ Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
+ Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making.
+ Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities.
+ Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.
+ Providing guidance and support for data governance, including metadata management, data lineage, and data cataloguing.
+ Tech Stack:
+ Python
+ SQL and NoSQL databases
+ Scala
+ Spark-SQL
+ Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
**Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, or a related field
+ Minimum of 5+ years of data and analytics field experience in the industries like manufacturing, engineering, supply chain with large-scale implementation experience.
+ 3-5 years in Data pipeline engineering role in Data and Analytics scope.
+ Working knowledge of Azure Analytics features such as Stream Analytics, Machine Learning and Application Insights.
+ Modelling and ETL knowledge with Erwin, Azure Databricks, Data Factory, SSIS and Azure Synapse.
+ Develop and maintain system integrations using, Azure Logic Apps, Integration Services, Power Automate, PowerApps, etc.
+ Microsoft Azure data platform experience with Power BI, Azure Data Lake, data warehouse and Data Factory.
+ Knowledge on migrating on-premises applications to Azure PaaS and Azure LaaS.
+ Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines
+ Should be well versed with Data Structures & algorithms
+ Excellent analytical and problem-solving skills.
+ Ability to work independently as a self-starter, and within a team environment.
+ Good Communication skills- Written and Verbal
As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.
**Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.**
**We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.**