Senior Data Engineer

<p><strong>Want to be a part of a company that’s making a difference?</strong></p><p>We’re a growing global tech company, with huge potential for curious and caring minds, committed to each other, to deliver<strong> </strong>solutions that protect people and the planet for future generations. Our team of experts are focused on creating meaningful impact and making a real difference for our customers.</p><p>🌍 <strong>Impact:</strong> A strong connection to our mission through product, customer and impact is essential. We protect people and the planet by helping businesses mitigate risks and create safer, healthier workplaces.</p><p>💡 <strong>Innovation: </strong>Trusted by over 11,000 customers, you’ll have the chance to work with industry experts and thought leaders, dedicated to driving positive change. We believe in fostering a trusting environment that empowers our team to grow, innovate, and succeed.</p><p>📈 <strong>Growth: </strong>Connect commercial growth to personal growth opportunities. Benefit from a wide range of learning opportunities for ambitious professionals seeking development in a rapidly expanding sector.</p><p><strong>We're on a mission to protect people and the planet </strong>by building and deploying transformative software. We need everyone's energy and commitment, regardless of region or rank, to make that mission a reality for millions more customers.</p><p><a target="_blank" href="https://www.ecoonline.com/careers/">Our culture code</a>, a set of principles that underpins our values, is our commitment to each other and working&nbsp;better together.</p><p><strong>Join EcoOnline and be part of a mission dedicated to driving positive change.</strong> Read on to learn more about the opportunity and how you can have a positive impact!</p><p><strong><br>About the Role</strong></p><p><span>You’ll have the opportunity to shape a global data platform that directly supports products used to improve health, safety, and sustainability outcomes worldwide. The role offers strong technical ownership, real influence over data architecture and standards, and close collaboration with product and domain leaders.</span></p><div><p></p></div><div><p><span>You’ll work with modern AWS cloud and data technologies, contribute to AI-enabled initiatives, and be part of a team that values pragmatism, quality, and continuous improvement. Most importantly, your work will have visible impact across the organisation.</span></p></div><div><p></p></div><div><p><span>This role will play a key part in evolving our central AWS data platform. In addition to maintaining existing pipelines, you will help design and implement scalable ingestion and transformation pipelines that support a future unified data platform across all products. The role works closely with Analytics Engineers, Platform Engineers, and the Architecture Review Board to build reliable, scalable data foundations for analytics and AI.</span></p><p></p></div><p><strong>Key Responsibilities:</strong></p><ul><li><p><span>Design, build, and operate robust, scalable, and secure data pipelines and infrastructure, meeting defined performance, availability, and governance standards across the data stack</span></p></li></ul><div><ul><li><p><span>Take hands-on ownership of data pipeline development, including batch and streaming workloads, from ingestion through to consumption</span></p></li></ul></div><div><ul><li><p><span>Ensure consistently high standards of data quality, reliability, and availability across all data platforms</span></p></li></ul></div><div><ul><li><p><span>Enable analytics and AI use cases through well-designed, well-governed data foundations and reusable data patterns</span></p></li></ul></div><div><ul><li><p><span>Partner closely with Analytics Engineers and Data Analysts to support the creation of reliable, business-aligned datasets and models</span></p></li></ul></div><div><ul><li><p><span>Collaborate with Product, Engineering, and Architecture teams to ensure data solutions align with platform strategy and product needs</span></p></li></ul></div><div><ul><li><p><span>Contribute to the evolution of the company’s data architecture in collabor