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H&M Group

Senior Data Engineer (Emerging Tech)

Posted 10 Hours Ago
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Bangalore, Bengaluru, Karnataka
Senior level
Bangalore, Bengaluru, Karnataka
Senior level
The role involves designing and optimizing data architectures and pipelines for emerging technologies, processing large datasets, implementing data governance, collaborating with teams, and utilizing advanced analytics for actionable insights.
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Job Description

WHAT YOU’LL DO

We are seeking a skilled and forward-thinking Data Engineer to join our Emerging Tech team. This role is designed for someone passionate about working with cutting-edge technologies such as AI, machine learning, IoT, and big data to turn complex data sets into actionable insights.

As the Data Engineer in Emerging Tech, you will be responsible for designing, implementing, and optimizing data architectures and processes that support the integration of next-generation technologies. Your role will involve working with large-scale datasets, building predictive models, and utilizing emerging tools to enable data-driven decision-making across the business. You’ll collaborate with technical and business teams to uncover insights, streamline data pipelines, and ensure the best use of advanced analytics technologies​.

Key Responsibilities:

  • Lead the design and implementation of data architectures and pipelines to support emerging technologies such as AI, machine learning, and IoT.
  • Develop and optimize data models and algorithms to process and analyze large-scale, complex data sets.
  • Implement data governance, security, and compliance measures to ensure high-quality, s
  • Collaborate with cross-functional teams (engineering, product, and business) to translate business requirements into data-driven solutions.
  • Evaluate, integrate, and optimize new data technologies to enhance analytics capabilities and drive business outcomes.
  • Apply advanced statistical methods, machine learning models, and data visualization techniques to deliver actionable insights.
  • Establish best practices for data management, including data quality, consistency, and scalability.
  • Conduct in-depth analysis to identify trends, patterns, and correlations within data to support strategic business initiatives.
  • Stay updated on the latest trends and innovations in data technologies and emerging data management practices.

WHO YOU’LL WORK WITH​

Emerging Tech is at the forefront of strategic disruption on processes and tech, exploring and implementing cutting-edge technologies to shape the future of fashion retail. Our team bridges the gap between business and technology, leveraging AI, immersive experiences, automation, and new digital capabilities to enhance customer experiences, optimise operations, and drive sustainable growth. We thrive on experimentation, collaboration, and rapid iteration to unlock new opportunities and create seamless, forward-thinking solutions for the H&M brand.

WHO YOU ARE​

We are looking for people with…

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
  • 5+ years of experience in data engineering, data science, or a similar analytical role, with a focus on emerging technologies.
  • Expertise in working with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, GCP).
  • Strong proficiency in programming languages such as Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with data visualization tools (e.g., Tableau, Power BI, D3.js) to communicate insights effectively.
  •  Familiarity with IoT and edge computing data architectures is a plus.
  • Strong knowledge of data governance, privacy, and security standards, with the ability to ensure compliance and quality.
  • Ability to work with both structured and unstructured data.
  • Excellent problem-solving, communication, and collaboration skills, with the ability to work in a fast-paced, cross-functional team environment.
  • A passion for emerging technologies and a continuous desire to learn and innovate.

And people who are…

  • Excited about working in a fast-paced, Agile environment.
  • Open to learning and adapting to new technologies and best practices.
  • Team players with strong collaboration and communication skills.

WHO WE ARE​

H&M is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​

​We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​

Help us re-imagine fashion and together we will re-shape our industry. Learn more about H&M here.

WHY YOU’LL LOVE WORKING HERE ​
At H&M , we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​

We offer all our employees at H&M attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET, Afound. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here.
In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment types and countries.

JOIN US​

Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​

​Take the next step in your career together with us. The journey starts here.​

*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.

Top Skills

AI
AWS
Azure
Big Data
D3.Js
GCP
Hadoop
Iot
Kafka
Machine Learning
Power BI
Python
PyTorch
R
Spark
SQL
Tableau
TensorFlow

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