Digital Senior Data Engineer

Home Credit logo

Home Credit

View Salaries, Reviews, and more  

Job Description

About The Job

The role of a Digital Senior Data Engineer involves designing, developing, and supporting new and current SQL, ETL and BI application processes employing industry standards and best practices to enhance data delivery from primary sources to analytical reporting and insights of Digital Platform, Digital Products, and Digital Marketing performance.

What You’ll Do

  • Data Mapping Design: Ensure data maps are properly ingested in the Unified Data Platform
  • Datamart Creations: Creates ETL/ELT workflows to ingest, transform, and load data from various sources, ensuring performance and scalability.
  • Strategic AI Leadership: Drive AI initiatives, ensuring strategic alignment and seamless integration into business operations.
  • Technical Expertise: Guide AI/ML decision-making, optimize model performance, and ensure scalable AI solutions.
  • Machine Learning Development & Deployment: Build ML models, optimize data pipelines, implement automation, and apply best practices in NLP and deep learning.
  • Quality Assurance & Prompt Engineering : Test AI applications for accuracy, reliability, and performance.
  • Team Collaboration: Work with engineers, data scientists, and stakeholders to integrate AI solutions and communicate technical concepts effectively.
  • Operational Enhancement: Improve efficiency and decision-making through AI-driven automation and predictive analytics.
  • Innovation Catalyst: Stay ahead of AI/ML advancements and identify opportunities for system enhancement and innovation.
  • Problem Solving & Optimization: Troubleshoot AI challenges, optimize ML models, and monitor performance using Azure Monitor and Application Insights.
  • Leadership & Mentorship: Lead AI/ML engineers, foster growth, and promote best practices in MLOps and data engineering.
  • Strategic Alignment: Work with senior leadership to align AI/ML initiatives with long-term business goals for maximum impact.

What You Need To Have

  • At least 4-6 years experience related to Data Science and/or Data Engineering.

Technical Skills

ü Data Engineering:

  • Experience in ETL workflows in Databricks and/or Snowflake

ü AI & Machine Learning

  • Advanced knowledge of ML algorithms (classification, regression, clustering)
  • Expertise in LLM frameworks
  • Prompt Engineering
  • Deep understanding of NLP techniques (tokenization, named entity recognition, speech-to-text)
  • AI Ethics & Bias Reduction (fairness, explainability, compliance)

ü Cloud & DevOps

  • Cloud-native AI deployments using Azure ML, Databricks, Kubernetes
  • MLOps & CI/CD Pipelines: Azure DevOps, MLflow, Terraform, ARM Templates, Bicep
  • Infrastructure Management: Azure VMs, VNets, Load Balancers, Firewalls

ü Software Engineering & Data Handling

  • Programming: Expert-level Python with experience in ML libraries and frameworks

ü Security & Identity Management

  • AI Security & Compliance: Implementing security best practices in AI deployments

ü UI/UX & AI Applications

  • Managing low code/ no code platform

o

  • Knowledgeable in Google Analytics, Firebase, Oracle and Google Marketing Platforms

Job Perks You'll Enjoy

  • Permanent dayshift schedule
  • Up to 20% variable performance-based bonus
  • HMO on Day 1 and HMO dependents coverage including same-sex partners
  • Access to mental health and wellness partners
  • Wellness Leaves and Birthday Leave
  • Internal career mobility options
  • Local and international learning opportunities

Empower Filipinos with innovative financial solutions at Home Credit Philippines. Click Apply Now and join a company where there are #NoSmallRoles and everyone is important.

At Home Credit Philippines, we believe that everyone has something special to offer. Our motto "No Small Roles, Everyone is Important" is at the heart of everything we do. We think diversity makes our company better and every single job and person here plays a big part in our success.

We’re all about creating a welcoming place where everyone feels valued for who they are. This means we make sure that everyone, no matter their background or what they look like, gets a fair chance at jobs, training, and promotions.

When it comes to hiring, everyone gets a fair look. It doesn’t matter where you’re from, what you believe, who you love, whether you have a disability, or any other or any other condition protected under Philippine laws. If you meet the job requirements, you have a chance to get the job.

Come join us at Home Credit, where diversity fuels our innovation. Here, there are #NoSmallRoles and #EveryoneisImportant.

Interview Questions of Digital Senior Data Engineer at Home Credit

Currently, there aren't any interview questions for this role at Home Credit shared by other job seekers.
View more interview questions of similar roles from other companies →
banner icon
Prepare For Your Interview in 1 Week?
Equip yourself with possible questions that interviewers might ask you, based on your work experience and job description.
Get Started!

Salary Insights of Digital Senior Data Engineer at Home Credit

Currently, there aren't any salaries for this role at Home Credit shared by other job seekers.

View more salaries from Home Credit →

Achieve your dream job with our top-notch tools!

Resume Checker Illustration

Resume Checker

Our free resume checker analyzes the job description and identifies important keywords and skills missing from your resume in just a minute!

Check Now
Interview Preparation Illustration

AI InterviewPrep

Utilizing advanced AI, our tool generates tailored interview questions based on your industry, role, and experience. Practice and receive feedback on your answers in real time!

Check Now
Resume Builder Illustration

Resume Builder

Let us show you the differences between a bad, good, and great resume, and guide you in building a resume that helps you stand out to employers, ensuring you land your next position faster!

Check Now