Lead Data Engineer

Are you ready to shape the future of supply chain and logistics at H&M through data? We are looking for two Lead Data Engineers to join our rapidly expanding Supply Chain and Enterprise area and play a pivotal role in building scalable, maintainable, and high-impact data solutions within AI & Data domain. At H&M, we are on a transformative journey to exceed customer expectations through the power of data, technology, and innovation.

Our SC&E area is scaling fast, and we need experienced technical leaders who thrive in dynamic environments and are passionate about technical mentoring team and driving delivery excellence. Join us in creating a smarter, more connected supply chain that supports millions of customers across the globe.

As a Lead Data Engineer in the SC&E area, you will drive technical advancements, lead complex and high-priority data projects, and foster a collaborative and innovative engineering culture. You will be instrumental in designing and delivering scalable data products aligned with our strategic vision, mentoring engineering talent, and ensuring high-quality execution across initiatives. You will work within the AI, Analytics & Data domain, collaborating closely with product management, business stakeholders, and other engineering teams to ensure our data foundation supports the evolving needs of the business.

WHAT YOU’LL DO:

• Lead the design and implementation of robust, scalable data architectures and ETL/ELT processes.
• Provide technical oversight and guidance to multiple product teams.
• Champion DevOps principles, managing CI/CD pipelines and cloud infrastructure (GCP).
• Ensure data products meet standards for security, scalability, observability, and performance.
• Mentor engineering talent, promoting a culture of growth, accountability and critical thinking.
• Collaborate with Product managers, Solution Architects, and stakeholders to align technical execution with business goals across the program.
• Drive cross-functional collaboration to ensure secure and efficient business delivery.
• Use business context to guide product scope and technical decisions.
• Support team members across disciplines and promote shared learning and continuous improvement.
• Identify and implement emerging technologies relevant to organizational goals.
• Represent the product team across organizational levels and domains from a technical perspective.
• Contribute across different product teams within or across programs to define scope, prioritize tasks and resolve technical issues

WHO YOU ARE:

We are looking for people with…

• Senior data engineer with a technical degree (BE, B.Sc or similar) in a relevant field.
• 7+ years of experience in data engineering with proven leadership in complex projects.
• Strong skills in data engineering (Python, Java, or Scala) and production-grade software development.
• Experience in architecting and implementing scalable data solutions with Batch/Streaming data
• Experience with modern cloud data platforms (preferably GCP).
• Proficiency in data formats (Avro, Parquet), query languages (SQL), and data modeling techniques.
• Familiarity with tools like Apache Spark, Terraform, and data processing frameworks (Beam, Spark, Hive, Flink).
• Exposure to event based data modeling and familiarity with EPCIS/GS1 standards
• Good understanding of H&M or equivalent industry operations.
• Experience with NoSQL and RDBMS databases.
• Excellent communication and collaboration skills.
• Fluent in English (written and verbal).
• Familiarity with Agile practices.
• Proven record of contributing towards multiple products and teams within or across programs
• Actively participated and contributed in different data engineering community practices within the unit

Also preferred if you have:

• Experience with GCP tools (Dataflow, Dataproc, BigQuery).
• Experience with DBT or similar Data transformation tools.
• Business understanding of the retail industry and supply chain area.
• Experience in working with data visualization tools.

Key Behaviours:

• Collaboration: Foster teamwork and shared learning across teams.
• Empowerment: Enable others to take ownership and grow.
• Innovation: Drive creative solutions and embrace emerging technologies.
• Continuous Improvement: Focus on refining processes and reducing technical debt.
• Resourcefulness: Solve problems effectively with available tools and knowledge.
• Integrity: Communicate with honesty, clarity, and transparency.