Senior Data Engineer with Python and Databricks

<h3>Company Description</h3><p>Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.<br/>  <br/> By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.<br/>  <br/> From prototype to real-world impact - be part of a global shift by doing work that matters.</p><h3>Job Description</h3><ul><li>Work together with data scientists and analysts to understand the needs for data and create effective data pipelines</li><li>Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies</li><li>Create and maintain data solutions IN Azure, using any of the following: <em>Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric </em></li><li>Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.</li><li>Improve the scalability, efficiency, and cost-effectiveness of data pipelines.</li><li>Monitoring and resolving data pipeline problems, ensuring  consistency and availability of the data.</li></ul><p> </p><h3>Qualifications</h3><ul><li>Proficient in Python and SQL</li><li>Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.</li><li>Strong experience with Relational and ideally NoSQL databases.</li><li>Strong understanding of ETL/ELT processes.</li><li>Exposure to data monitoring and observability tools.</li><li>Relevant experience with Event-Driven Architecture</li><li>Good understanding of Agile ways of working</li></ul><h3>Additional Information</h3><p>Discover some of the global benefits that empower our people to become the best version of themselves:</p><ul><li><strong>Finance:</strong> Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;  </li><li><strong>Career Development:</strong> Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;</li><li><strong>Learning Opportunities:</strong> Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;</li><li><strong>Work-Life Balance:</strong> Hybrid work and flexible working hours, employee assistance programme;</li><li><strong>Health:</strong> Global internal wellbeing programme, access to wellbeing apps;</li><li><strong>Community:</strong> Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.</li></ul>