Microsoft Fabric Data Engineer

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Microsoft Fabric Data Engineer

Posted today

Job Description

We are looking for a skilled and detail-oriented Microsoft Fabric Data Engineer to join our data engineering team. In this role, you will design, develop, and maintain scalable data solutions using Microsoft Fabric (formerly known as Power BI Premium Gen2 + Synapse integration), including OneLake, Dataflows Gen2, Pipelines, Notebooks, Lakehouses, and Direct Lake. You will work closely with business analysts, data scientists, and software engineers to deliver data solutions that drive actionable insights.

Key Responsibilities:

• Design and implement modern data pipelines using Microsoft Fabric components such as Data Factory Pipelines, Dataflows Gen2, and Notebooks.
• Develop and maintain Lakehouse architectures in OneLake, ensuring optimized data storage and performance.
• Create and manage data ingestion workflows from various structured and unstructured sources into Microsoft Fabric.
• Utilize Direct Lake mode for high-performance Power BI reporting.
• Collaborate with analytics teams to create semantic models and datasets optimized for business intelligence.
• Implement data quality checks, lineage, and governance using Microsoft Purview and Fabric's built-in features.
• Optimize performance, scalability, and cost efficiency of data solutions within the Microsoft ecosystem.
• Document technical solutions, processes, and configurations for internal stakeholders.
• Stay updated on Microsoft Fabric roadmap, features, and best practices.

Required Skills & Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 3+ years of experience in data engineering with a focus on the Microsoft Azure ecosystem.
• Hands-on experience with Microsoft Fabric, including OneLake, Data Factory Pipelines, Dataflows Gen2, Lakehouses, Notebooks, and Power BI.
• Strong SQL skills; experience with T-SQL, Spark SQL, or KQL.
• Experience with delta lake format, Parquet, and data lake architectures.
• Familiarity with Power BI, including DAX, semantic models, and performance tuning.
• Understanding of CI/CD practices and version control (e.g., Git).
• Strong communication and collaboration skills.

Preferred Qualifications:

• Microsoft Certified: Fabric Analytics Engineer Associate (or working toward certification)
• Experience with Python or PySpark for data transformations within Notebooks.
• Familiarity with Microsoft Purview for data governance.
• Prior experience working in Agile/Scrum environments.

Tools & Technologies:

• Microsoft Fabric (OneLake, Data Factory, Lakehouse, Notebooks)
• Power BI / Direct Lake
• SQL / Spark / Python
• Git / DevOps / CI-CD tools

Why Join Us?

• Work on cutting-edge data projects using Microsoft's latest unified data platform.
• Collaborate with a high-performing data & analytics team.
• Flexible work environment and opportunities for growth and certification.

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Posted 1 day ago

Job Description

Background on what ING is about (Generic ING background):

ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.

At ING our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them.

ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking

Job Overview

The Cloud Data Engineer is a leader in data design, analysis and development, providing insights and identifying opportunities for improvement. Business and systems analysis, development and testing, combined with business risk assessments and data quality monitoring are also components of the role.

The role involves working with large volumes of data, both structured and unstructured, and implementing data solutions on the Azure platform. You will be responsible for design and build of complex data pipelines and extending platform capabilities to enable real time data and advanced analytics services using MS Azure native data technologies

The Cloud Data Engineer will also be responsible for coaching and mentoring less experienced team members to build their capability. Work collaboratively with product owners and stakeholder relationship management skills will be key to drive the right outcomes.

Key Responsibilities

• Collaborate with the Business to fully understand business requirements.
• Provide ETL solutions that support Business Information requirements in Informatica.
• Design and develop modern data processes using Informatica to ING's standards.
• Analyze source systems to identify appropriate sources of data.
• Identify and resolve data quality issues.
• Identify opportunities to value-add to source system data.
• Estimate effort involved in work tasks.
• Implement and enhance automation processes.
• Design solutions that are in keeping with ING's data mesh architecture.
• Improve system performance by tuning and optimizing the platform and platform workloads.
• Use components of the Project Life Cycle to enhance quality in areas of Documentation, Standards, Formal and informal code reviews – as either reviewer or author.
• Work to project plans and schedules.
• Re-use components whenever possible.

Key Capabilities/Experience

• 7+ years experience in Data warehousing or related function.
• 5+ years experience as a Data Integration Expert.
• 3+ End to End BI Project Delivery experience.

Minimum Qualifications

• Big data stack experience (Kafka, Apache Beam/Flink/Spark, Hadoop 3.0, etc.).
• Experience with open source and application-oriented languages (Python, Java, Scala, R, Spark).
• Experience delivering end-to-end data integration solutions in Azure.
• Advanced knowledge of modern data applications.
• Strong knowledge in Informatica Power Center and related products.
• Experience in Logical and Physical Data Modelling (dimensional, relational, flat-file).
• Fluent in Kimball or Inmon Data Warehouse modelling techniques.
• Fluent in SQL. Relational database experience (MS SQL Server preferred).

Technical Skills

• Infrastructure as Code (IaC): AWS CloudFormation or CDK.
• AWS Services: Glue, IAM, Lambda, DynamoDB, Step Functions, S3, CloudFormation or CDK.
• Nice-to-have: Athena, Kinesis, MSK, MWAA, SQS.
• Data Orchestration: Airflow or Dagster.
• Data Streaming: Kinesis or Kafka (nice-to-have).
• Apache Spark experience (nice-to-have).
• Client-facing experience and multicultural collaboration (nice-to-have).

Application Process: If you meet the qualifications and are passionate about driving impactful cloud solutions, we encourage you to apply. JWay Group is proud to be an Equal Opportunity Employer. We value diversity and are committed to fostering an inclusive and supportive workplace for all.

Posted 1 day ago

Job Description

The Cloud Data Engineer will build scalable, cloud-native data pipelines. The ideal candidate must have a strong foundation in Python and AWS technologies.

The role follows a hybrid work arrangement, requiring regular onsite work at UP Ayala Technohub in Quezon City. Candidates must be willing to report onsite, work on mid-shift and graveyard schedules, and observe U.S. holidays instead of Philippine holidays.

Key Responsibilities

• Design, build, and maintain cloud-based data pipelines and workflows that support analytics and operational systems.
• Integrate data from various sources using APIs and cloud services.
• Develop clean, efficient, and test-driven code in Python for data ingestion and processing.
• Optimize data storage and retrieval using big data formats like Parquet and ORC.
• Implement robust data models, including relational, dimensional, and NoSQL models.
• Collaborate with cross-functional teams to gather and refine requirements and deliver high-quality solutions.
• Deploy infrastructure using IaC tools like CloudFormation or CDK.
• Monitor and orchestrate workflows using Airflow or Dagster.
• Follow best practices in data governance, quality, and security.

Core Expertise

• At least 3 years in a data engineering role with Python and cloud technologies.
• Strong Python programming for API integration and data libraries.
• Proficiency with Parquet/ORC and SQL.
• Experience with relational, dimensional, and NoSQL data modeling.
• IaC with AWS CloudFormation or CDK.
• Experience with AWS services: Glue, IAM, Lambda, DynamoDB, Step Functions, S3.
• Airflow or Dagster; data streaming experience (Kinesis/Kafka) is a plus.

Additional Information: Hybrid setup, start by October 1, 2025, 6-month project with potential extension, mid-shift/night shift, observes US holidays.

Posted 1 day ago

Job Description

Cloud Data Engineering role at FPT Software Philippines Corporation. Duration: 6 months, hybrid setup, UP Ayala Technohub, Quezon City.

Position Summary

The Data Warehouse DBA is responsible for performance, availability, and security of cloud-based data warehouse systems (Google BigQuery, Azure Synapse). You will collaborate with cross-functional teams to support enterprise data initiatives.

Key Responsibilities

Database Operations & Maintenance

• Security, integrity, and high availability of databases.
• Monitor and optimize performance and capacity.
• Maintenance plans and automation scripts.
• SQL query tuning and optimization.
• Root cause analysis and issue resolution.

Cloud Data Warehousing Support

• Manage Google BigQuery and Azure Synapse.
• Coordinate migrations/upgrades with cloud vendors.
• Stay current with platform features and best practices.
• Documentation of configurations and procedures.
• CI/CD with Terraform and scripting tools.
• Overnight support and on-call rotation.

Required Qualifications

• 5+ years in Data Warehousing; 2+ years on multiple platforms.
• 2+ years on Google BigQuery and/or Azure Synapse.
• Dimensional Modeling knowledge; IaC experience.
• Networking and cloud architecture familiarity.
• Willingness to work overnight shifts and on-call rotation.

Preferred Qualifications

• Certifications: Professional Cloud Database Engineer (Google), CDMP Associate
• Data privacy, compliance, risk management knowledge.
• Azure Databricks and Google Spanner knowledge.
• Terraform and scripting for automation.

Work Arrangements: Hybrid/WFH. Manila and Cebu-based candidates welcomed.

Posted 1 day ago

Job Description

iRely Cloud Data Engineer — Summary

As a Cloud Data Engineer at iRely, you will design, deploy, and maintain cloud-based solutions on Azure. You will work with leadership, onshore/offshore teams, and data analytics to ensure successful cloud implementations. You will design scalable, secure, highly available cloud architecture and troubleshoot issues.

What You'll Do

• Azure Solution Design and implementation with best practices for scalability, performance, security, and cost.
• Infrastructure solutions using Azure services (virtual networks, VPNs, ExpressRoute, firewalls, load balancers, VPN tunnels).
• Develop data engineering culture with frameworks for development, reviews, standards, deployment, testing, security, privacy, and documentation.
• Agile project management with backlog and delivery oversight.
• Technical oversight of BI/Data Lake Infrastructure; collaborate with architects to plan data needs.
• Quality control for data integrity, governance and documentation.
• Research new tools, monitor current solutions, manage budgets for data infrastructure.

Qualifications

• Bachelor's in CS or related field; 5+ years in Power BI and Data Lake.
• Cloud solution design experience; Azure services proficiency.
• Proficient in Java and Python; React is a plus.
• Strong networking and Azure security knowledge.
• Excellent communication and collaboration skills.

Why Choose Us? We empower our team with innovation, competitive compensation, benefits, and growth opportunities.

Posted today

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