We are seeking a highly skilled Data Engineer with strong expertise in Google Cloud Platform (GCP), BigQuery, and Big Data technologies to build and maintain scalable, high-performance data systems. This role involves designing robust data pipelines, enabling analytics, and supporting real-time and batch data processing use cases.
As a Data Engineer, you will be responsible for developing reliable data infrastructure that powers reporting, analytics, and advanced data applications. You will collaborate with cross-functional teams to ensure data quality, scalability, and performance while adhering to best practices in data engineering and governance.
KEY RESPONSIBILITIES
- Design, build, and maintain scalable data pipelines on GCP.
- Develop and optimize data models using dbt.
- Build, manage, and optimize data warehouses in BigQuery.
- Implement ELT/ETL processes for structured and semi-structured data.
- Ensure data quality, reliability, and performance optimization across pipelines.
- Collaborate with Data Analysts, Data Scientists, and Engineering teams.
- Optimize query performance and ensure cost efficiency in BigQuery.
- Implement monitoring, alerting, and validation frameworks for data pipelines.
- Support real-time analytics use cases (experience with Apache Pinot is a plus).
- Maintain documentation and follow data governance best practices
WHO YOU’LL WORK WITH
You will work closely with Data Analysts, Data Scientists, and Engineering teams to build scalable and reliable data solutions that enable business insights and decision-making. This role involves cross-functional collaboration to understand data requirements and deliver high-quality data products.
WHO YOU ARE
We are looking for people with:
- 6+ years of experience in Data Engineering.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Expertise in BigQuery and Big Data concepts.
- Good understanding and working experience with dbt.
- Strong SQL skills, including complex transformations and query optimization.
- Experience designing scalable data models and data architecture.
- Proven experience building and maintaining ETL/ELT pipelines.
- Strong understanding of data warehousing concepts.
- Experience with version control tools such as Git.
- Strong knowledge of data performance tuning and cost optimization.
NICE TO HAVE
- Experience with Apache Pinot (real-time OLAP systems).
- Experience with streaming pipelines (Pub/Sub, Kafka, etc.).
- Knowledge of data governance and security best practices.
- Experience working in high-volume production environments.
SOFT SKILLS
- Strong analytical thinking and problem-solving skills
- Excellent attention to detail
- Ownership mindset with high accountability
- Ability to work effectively in cross-functional teams
- Strong communication and collaboration skills
WHO WE ARE
We are a data-driven organization focused on building scalable and reliable data platforms that enable smarter decision-making. Our teams are dedicated to delivering high-quality data solutions and continuously improving our technology landscape.
WHY YOU’LL LOVE WORKING HERE
- Opportunity to work with modern data technologies and cloud platforms
- Collaborative and innovation-driven work environment
- Exposure to large-scale data systems and real-time analytics use cases
- Continuous learning and career development opportunities
*We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application
Additional Information
This is a full-time position based in Bengaluru, India.
Apply by sending in your CV in English as soon as possible, but no later than the Date of 20th June . Due to data policies, we only accept applications through career page.
Skills Required
- 6+ years of experience in Data Engineering
- Hands-on experience with Google Cloud Platform (GCP)
- Expertise in BigQuery
- Working experience with dbt
- Strong SQL skills including complex transformations and query optimization
- Experience designing scalable data models and data architecture
- Proven experience building and maintaining ETL/ELT pipelines
- Strong understanding of data warehousing concepts
- Experience with version control tools such as Git
- Knowledge of data performance tuning and cost optimization in BigQuery
- Experience with Apache Pinot (real-time OLAP) - Nice to have
- Experience with streaming pipelines (Pub/Sub, Kafka) - Nice to have
- Knowledge of data governance and security best practices - Nice to have
- Experience working in high-volume production environments - Nice to have
H&M Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about H&M Group and has not been reviewed or approved by H&M Group.
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Healthcare Strength — Medical, pharmacy and vision options with low employee costs and free dental are available, alongside telehealth and inclusive offerings such as transgender, bariatric and fertility coverage. These features are highlighted as solid for U.S. retail roles, with some availability for part‑time positions depending on eligibility.
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Leave & Time Off Breadth — Vacation, flexible wellness days, company‑paid holidays and a paid birthday off are offered, with some paid time off available to part‑time staff. The time‑off structure is presented as generous within the retail context.
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Parental & Family Support — Eight weeks of paid parental pay for mothers and fathers is provided, complemented by adoption assistance and healthy pregnancy/babies programs. These family supports add depth to the core medical coverage in the U.S. package.
H&M Group Insights
What We Do
Founded in 1947, H&M Group is a global design company with ~4,702 stores in 76 markets and 56 online markets. At H&M Group, we believe in making great design available to everyone. It’s essential in everything we do. Our family of brands and business ventures offer customers around the world a wealth of fashion, beauty, accessories and homeware, as well as modern menus with fresh and local produce at some of the brands’ in-store eateries. But design is so much more than just products; it’s about clever design processes, efficient product flows, creating experiences that enrich, and smart solutions that benefit all our customers. Sustainability is always at the core of our business. Not only because we like to do what’s right — but it’s also beneficial for our business. We will continue to push for change and lead the way towards a more inclusive and sustainable fashion future. Do you want to join us? We will trust you with great responsibility right from the start, reward a passionate mindset and encourage an entrepreneurial spirit. When you start a career with H&M Group, there’s no limit to where it can take you. H&M Group's Moderation Policy: Welcome to H&M Group’s official LinkedIn page. Ask questions, exchange ideas and meet members and employees from all over the world. This page is moderated daily and we always do our best to answer each one of you in a timely manner. Please remember to keep a friendly tone and in line with LinkedIn’s legal terms at https://www.linkedin.com/legal/user-agreement Comments and posts that contain foul language, are off-topic or unnecessarily rude will be deleted. We also encourage you to report any inappropriate content. We use an external tool to handle the comments on our page, so please note that your comments can be stored. For questions, please contact our team at [email protected].
