Job Title: Senior Data Engineer Type: Full-time; Remote Schedule: US Time zone Industry: Fashion/Lifestyle Job Overview We are looking for a Senior Data Engineer to help build and scale our modern data platform. This hands-on role involves developing robust data pipelines, modeling data for analytics, and working closely with business and engineering teams. You will work with industry-leading tools such as Snowflake, DBT, FiveTran, and AWS services to create efficient and scalable data solutions. Responsibilities - Design, build, and maintain scalable ELT/ETL pipelines (FiveTran, DBT, Python,Snowpipe) in Snowflake. - Integrate workflows using AWS services (S3, Lambda, Glue, Athena, CloudWatch). - Administer and optimize Snowflake (user roles, warehouse sizing, access, performance). - Develop and maintain dimensional/normalized data models in Snowflake. - Implement data transformation logic with DBT and SQL for accuracy and maintainability. - Transform raw data into reliable datasets for analytics and operations. - Collaborate with teams to understand data requirements and deliver solutions. - Ensure high data quality, consistency, and security. - Monitor and troubleshoot pipelines, implementing logging/alerting. - Participate in code reviews, documentation, and promote data engineering best practices. Preferred Qualifications - Exposure to Shopify, NetSuite, or Segment. - Experience with Python and Looker or other BI Visualization tools is preferred - Experience in e-commerce, SaaS, or financial analytics environments. - Familiarity with orchestration tools such as Airflow, Dagster, or similar frameworks.

• Act in the assessment and evolution of data architecture • Identify architecture and scalability gaps • Support data governance • Propose improvements to the analytics platform • Provide technical support in consolidating recommendations

Data Engineer Malaysia / Indonesia / Philippines What we do at Weir We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the world needs more efficiently and more sustainably. Our planet’s future depends on the transition to renewable energy, and that transition can only happen with the metals and minerals our customers deliver. So, we work side by side with mines across the globe to move less rock, use less energy, use water wisely, and create less waste. Together, we drive the shift to smart, efficient, and more sustainable mining. Make your impact You’ll play a key role in solving real-world challenges. You’ll apply your skills to deliver results that matter whether that’s through engineering, planning or customer support. You’ll work with purpose, learn every day and help shape a more sustainable future. What you’ll do - Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world-class safety culture - Project Development: Build new data pipelines and solutions independently or in small teams, applying your expertise in Azure technologies to deliver high-quality, scalable data engineering projects. - Support: Provide ongoing support for existing live data projects, troubleshooting and resolving platform or data issues promptly to maintain service levels. - Platform Stability: Maintain and improve the Azure-based data platform to ensure reliability, performance, and continuous enhancement aligned with organizational needs. - Collaboration: Work closely with architects, data scientists, analysts, and product management to understand requirements, prioritize tasks, and deliver effective solutions in an Agile environment. - Daily Operations: Engage in all Agile ceremonies, contribute to continuous improvement activities, and manage your workload with minimal supervision while collaborating across global time zones. - Success Metrics: Success will be measured by your ability to independently deliver end-to-end data engineering solutions, maintain platform stability, and effectively support business needs with minimal escalations. - Travel Requirements: Minimal to no travel is expected for this remote role. What you’ll bring Must-haves - 5+ years of experience developing backend, data-intensive systems with at least 2 years hands-on experience in Microsoft Azure cloud platform. - Proven ability to independently deliver end-to-end data engineering projects including development, testing, deployment, and production support. - Strong problem-solving skills with the ability to translate business problems into technical solutions, especially for stakeholders with low data maturity. - Excellent communication skills to effectively collaborate with both technical teams and non-technical stakeholders across multiple time zones. Nice-to-haves - Experience with data modeling, database development tools, and reporting tools such as PowerBI or Tableau. - Familiarity with Infrastructure as Code and API development. - Prior experience working in Agile environments and collaborating with global, distributed teams. - Strong teamwork and stakeholder engagement skills, with a proactive and adaptable mindset. Why join Weir? We live our values – safety first, do the right thing, respect each other, aim high, and delight our customers. We encourage our people to lead by example and celebrate our successes. We’re passionate about our purpose to help deliver the natural resources that are essential to create a better future for the world. We do this by combining our deep customer insights, world-class engineering, materials science expertise, and intelligent automation to deliver innovative end-to-end solutions incorporating our signature technologies. We believe your voice matters and your ideas make a difference. We’re working hard to nurture a diverse culture where our people feel like they belong and can do the best work of their lives. You can help shape our unique culture through our inclusion networks and safety initiatives. Benefits - Career development and learning support - Access to global inclusion networks - Regional and team-specific benefits - Wellness support for you and your family - Collaboration with global teams

• Drive adoption and impact by integrating AI/ML capabilities • Collaborate with teams to identify and solve high-value problems • Define product requirements and guide development of solutions • Lead by example fostering collaboration • Take ownership of data science products and platforms