Sustainability that means business
Who we are:
Sustainability software specialist, AMCS, is headquartered in Ireland, with offices in Europe, the USA, and Australasia. With over 1,300 highly-skilled employees across 22 countries, we specialize in delivering technology solutions to facilitate a carbon neutral future.
What we do:
Our innovative SaaS solutions increase efficiency and boost sustainability in resource-intensive industries. Over 5,000 customers across 23 countries already benefit from our Performance Sustainability software, ensuring we deliver practical solutions for improved profitability and environmental resilience across the globe.
Our people:
AMCS offers team members more than just a job, but an opportunity to map out a career with a company that is growing, evolving and setting out new ways of working that are having a positive impact on the world around us. AMCS was established in Ireland and holds onto those local roots and ‘start-up’ mentality with a culture of connection. Connection to our work, our customers, our colleagues and our community that creates a working environment that fosters openness, collaboration and creativity.
We are seeking a seasoned Senior Data Engineer to join our distributed, cross-functional Agile team. This role focuses on data processing and manipulation for AI feature development and business analytics solutions. Your journey will initially contemplate the Environmental, Social, and Governance (ESG) context and eventually expand to Environmental, Health and Safety (EHS). The successful candidate will exhibit strong skills in data engineering, mentoring others, and working seamlessly with remote teams across different time zones.
Responsibilities:
• Lead complex features, ensuring the delivery of high-quality, secure code punctually.
• Proficiently understand the problem space and devise effective, scalable solutions.
• Foster a continuous learning culture through knowledge sharing, with effective communication across stakeholders.
• Collaborate with the team and leadership to define best practices and future growth recommendations.
• Assist the team in achieving quality goals and optimizing effort estimation.
• Contribute to the hiring process, enhancing the strength and diversity of the global team.
• Advocate for code quality, reusability, and simplification within our platform.
• Develop a deep understanding of our core domain, actively engage in design discussions, and contribute to domain-specific knowledge.
• Extensively participate in cross-departmental collaboration within our organisation.
Qualifications:
• Proven experience in the functional domain, with developed expertise in relevant technologies and methodologies.
• Strong understanding of data modeling (OLTP/OLAP) concepts and data warehousing.
• Experience building scalable data pipelines for streaming and batch processing scenarios.
• Proficiency in SQL and NoSQL data modeling, architecture, and performance tuning.
• Experience in Big data ELT on data bricks leveraging PySpark, SparkSQL, Synapse/Fabric.
• Competence in building reusable Python code for data quality and validation.
• Experience with data governance tools like Unity Catalog.
• Familiarity with an analytical tool like PowerBI.
• Experience in leading joint analysis and design initiatives, owning end-to-end delivery scopes, plans, and schedules.
• Proficiency in Test Driven Development and unit tests.
• Strong problem-solving and debugging skills.
• Experience with AI/ML is a plus.
• Willingness to continually update knowledge on the latest technologies to solve business challenges.