LIXIL, a global leader in water and housing technology, is inviting passionate and driven engineering professionals to join their growing data team as Junior Data Engineers. This opportunity is ideal for early-career engineers who want to build scalable data systems, contribute to large-scale data operations, and grow in a global, innovation-focused organization.
With a fully remote option, attractive work culture, and exposure to modern cloud data technologies, this role promises both learning and impactful contributions. If you have 1–3 years of hands-on data engineering experience and are ready to take your career to the next level, this is your chance to join a company that improves the lives of billions every day.
About the Company
LIXIL is home to some of the world’s most iconic brands including GROHE, American Standard, INAX, and TOSTEM and impacts more than a billion people daily through pioneering home and water solutions.
The company believes in building better homes for everyone and operates with a strong sense of responsibility toward people and the planet. With a culture built on inclusivity, creativity, innovation, and sustainability, LIXIL empowers its employees to bring ideas to life and contribute meaningfully to a better future.
As LIXIL transforms to meet evolving global challenges, technological advancements, and changing customer expectations, joining now means contributing to a mission-driven organization that thrives on curiosity, imagination, and progress.
Role Overview
As a Junior Data Engineer, you will play a vital role in building and maintaining the data infrastructure that powers analytics, business intelligence, and decision-making across the organization. You will support data ingestion, transformation, warehousing, and governance initiatives across cloud-based platforms like Google BigQuery.
You’ll collaborate with senior engineers, analysts, and cross-functional teams to ensure data systems remain reliable, scalable, and high-performing. This role is ideal for someone who enjoys problem-solving, data modeling, automation, and hands-on engineering work using SQL, Python, and cloud technologies.
Key Responsibilities
Data Pipeline Development
Assist in building and maintaining scalable ETL/ELT pipelines for structured, semi-structured, and streaming data sources, including APIs and third-party platforms.
Data Modeling & Warehousing
Support the creation of logical and physical data models in relational and cloud warehouses such as Google BigQuery.
Data Quality & Integrity
Monitor, analyze, and optimize data workflows to ensure accuracy, completeness, and consistency across systems.
Source Integration
Work with diverse datasets, integrating information from multiple platforms and formats.
Governance & Security
Help enforce organization-wide data quality, security, and governance practices.
Coding & Automation
Write robust SQL and Python scripts, implement automation, and maintain code through Git-based version control.
Team Collaboration
Document workflows, support analysts and business stakeholders, and contribute to a collaborative knowledge-sharing culture.
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Who Can Apply
| Eligibility Criteria | Requirements |
|---|---|
| Education | Bachelor’s in CS, IT, Engineering, or related field |
| Experience | 1–3 years in data engineering or related role |
| Technical Skills | SQL, Python, ETL pipelines, BigQuery/cloud tools |
| Soft Skills | Communication, problem-solving, teamwork |
| Availability | Immediate joiners preferred |
Preferred Skills
Experience with:
● Data modeling (star/snowflake schemas)
● BigQuery, Snowflake, or other cloud data warehouses
● CI/CD workflows
● Airflow, dbt, or automation frameworks
● Git and version control
● Handling structured & semi-structured data (JSON, Parquet, CSV)
Strong analytical thinking, documentation habits, and eagerness to learn are highly valued.
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What You’ll Get
● Fully remote flexibility (depending on region)
● A global, inclusive, and innovation-driven work culture
● Exposure to enterprise-scale data platforms
● Opportunity to work with global teams
● Skill growth in cloud data engineering and automation
● Pathway to mid-level and senior data engineering roles
How to Apply
Follow these steps to maximize your chances of getting shortlisted:
✔ Update Your Resume
Highlight your experience in ETL pipelines, SQL, Python, BigQuery, data modeling, API integrations, or cloud technologies.
✔ Showcase Your Projects
Include GitHub links or descriptions of projects like:
– Data ingestion workflows
– BigQuery pipelines
– Python automation scripts
– Data warehouse design
– End-to-end ETL solutions
✔ Strengthen Core Knowledge
Revise:
– Data modeling fundamentals
– Cloud data warehousing
– Data quality & governance
– SQL optimizations
– Python scripting for data engineering
✔ Prepare for Interviews
Practice:
– SQL queries
– Python coding challenges
– Designing ETL workflows
– Scenario-based data engineering questions
– Debugging and optimization techniques
✔ Apply by Clicking the Button Below
Submit your application using the button provided.
Conclusion
The Junior Data Engineer role at LIXIL is an excellent opportunity for early-career professionals who want to grow in a global organization that is transforming how the world experiences home solutions. With a strong focus on innovation, sustainability, and technology-driven decision-making, LIXIL offers the perfect environment to strengthen your engineering skills while contributing to meaningful global impact.
If you’re ready to advance your data engineering career while working with supportive teams, modern cloud tools, and real-world challenges, this is the ideal role for you. Apply today and take a step toward shaping the future of living.
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