Data Engineer (Emerging Tech) at H&M Group

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Machine Learning, Big Data, Python, SQL, Data Visualization, Data Governance, Cloud Platforms, Real-Time Data Pipelines, Statistical Methods, Collaboration, Problem-Solving, IoT, Data Models, Data Analysis, Emerging Technologies

Industry

Retail

Description

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: Design and build scalable data architectures and pipelines that support machine learning, analytics, and IoT initiatives. Develop and optimize data models and algorithms to process and analyse large-scale, complex data sets. Implement data governance, security, and compliance measures to ensure high-quality. 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 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 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. 2-5 years of experience in data engineering, data science, or a similar analytical role, with a focus on emerging technologies. Proficiency with big data frameworks (e.g., Hadoop, Spark, Kafka) and experience with modern cloud platforms (AWS, Azure, or GCP). Hands-on experience designing and implementing real-time data pipelines, integrating Kafka with BigQuery. Solid skills in Python, SQL, and optionally R, along with experience using machine learning libraries such as Scikit-learn, TensorFlow, or 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. Understanding of data governance, compliance, and privacy standards. 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.

Responsibilities

The Data Engineer will design and build scalable data architectures and pipelines to support machine learning and analytics initiatives. They will collaborate with cross-functional teams to translate business requirements into data-driven solutions.