Senior Analytics Engineer

<p>You will join a global Data &amp; Analytics team serving one of the world's top 10 copper producers, operating across Africa, Europe, the Middle East, Australia, and the Americas. The team is on a mission to build a world-class data platform that turns raw operational data into strategic insight - enabling leadership to make faster, smarter decisions at every level of the business.</p> <p>As an Analytics Engineer you will sit at the intersection of data engineering and business intelligence - modelling, transforming, and publishing clean, tested, and reusable datasets that power dashboards, predictive models, and KPI frameworks across the organisation.</p> <h4><strong>Responsibilities:</strong></h4> <ul> <li>Design and build data products across the full data lifecycle - from ingestion through transformation to serving.</li> <li>Develop robust, well-documented data models in close collaboration with business users, data engineers, and analytics architects.</li> <li>Extract, transform, and validate data from diverse sources including JSON &amp; XML feeds, leveraging strong metadata management practices.</li> <li>Deliver clean, tested, code-reviewed datasets and data pipelines ready for analysis and machine-learning consumption.</li> <li>Partner with senior stakeholders to define KPI frameworks, reporting standards, and data governance best practices.</li> <li>Collaborate with data engineers to enrich product design and integrate data for predictive models.</li> <li>Create and maintain dashboards and reporting solutions using PowerBI to enable data-driven decision-making.</li> <li>Evaluate and recommend improvements to data flows, influencing platform architects and engineers.</li> <li>Implement data validation, monitoring, and error-handling processes to ensure data quality and accuracy.</li> <li>Maintain high-quality documentation including data dictionaries and lineage artefacts.</li> </ul> <h4><strong>Requirements:</strong></h4> <ul> <li>8+ years of experience in data analytics, data engineering, or a closely related software engineering discipline.</li> <li>Strong SQL skills for data extraction and manipulation; deep expertise in data modelling and indexing strategies.</li> <li>Solid hands-on experience with Azure cloud services for data storage and processing (Azure Data Lake, Azure Synapse Analytics, or equivalent).</li> <li>Proficiency in Databricks for data product building and large-scale data transformation.</li> <li>Experience transforming and working with semi-structured data formats (JSON, XML).</li> <li>Solid understanding of data governance, data quality principles, and security best practices.</li> <li>Strong analytical and problem-solving skills with an ability to work independently in a fast-paced environment.</li> <li>Excellent communication skills – able to present findings and data insights to both technical and non-technical audiences.</li> <li>Master's degree in Computer Science, Data Science, Software Engineering, or a related field (or equivalent professional experience).</li> </ul> <h4><strong>Nice to have:</strong></h4> <ul> <li>Experience with alternate cloud providers (AWS, GCP) in addition to Azure.</li> <li>Background in mining, commodities, or heavy industry operational data.</li> <li>Proficiency in additional languages beyond English</li> </ul><div class="content-conclusion"><p><strong>We offer*:</strong></p> <ul> <li>Flexible working format - remote, office-based or flexible</li> <li>A competitive salary and good compensation package</li> <li>Personalized career growth</li> <li>Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)</li> <li>Active tech communities with regular knowledge sharing</li> <li>Education reimbursement</li> <li>Memorable anniversary presents</li> <li>Corporate events and team buildings</li> <li>Other location-specific benefits</li> </ul> <p>*not applicable for freelancers</p></div>