Data Engineer, Vice President

Join us as a Data Engineer, VP with the leading MNC in Banking Domain. You will be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making. We will look to you to drive the build of effortless, digital-first customer experiences. If you are ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you are looking for. As a Data Engineer, you will simplify our organization by developing innovative data-driven solutions through data pipelines, modeling, and ETL design. You will inspire to be commercially successful while keeping our customers and the bank's data safe and secure. Your role will involve driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tools to gather and build data solutions. You will support our strategic direction by engaging with the data engineering community to deliver opportunities and carrying out complex data engineering tasks to build a scalable data architecture. Your responsibilities will include building advanced automation of data engineering pipelines through the removal of manual stages, embedding new data techniques into our business through role modeling, training, and experiment design oversight, delivering a clear understanding of data platform costs to meet your department's cost-saving and income targets, sourcing new data using the most appropriate tooling for the situation, and developing solutions for streaming data ingestion and transformations in line with our streaming strategy. To thrive in this role, you will need a strong understanding of data usage and dependencies and experience of extracting value and features from large-scale data. You will also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals. Additionally, you will need experience of ETL technical design, data quality testing, cleansing, and monitoring, data sourcing, and exploration and analysis, data warehousing, and data modeling capabilities, a good understanding of modern code development practices, experience of working in a governed and regulatory environment, and strong communication skills with the ability to proactively engage and manage a wide range of stakeholders.,