Data Engineer (DataOps) , VP

Job Description

Join us as a Data Engineer You ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making We ll look to you to drive the build of effortless, digital first customer experiences If you re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you re looking for Were offering this role at vice president level What youll do As a Data Engineer, you ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank s data, safe and secure. You ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture. Your responsibilities will also include: Building advanced automation of data engineering pipelines through removal of manual stages Embedding new data techniques into our business through role modelling, training, and experiment design oversight Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets Sourcing new data using the most appropriate tooling for the situation Developing solutions for streaming data ingestion and transformations in line with our streaming strategy The skills youll need To thrive in this role, you ll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data. You ll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals. Additionally, you ll need: Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis Experience in operational resilience including incident management, incident detection, resolution, reporting and optimization A good understanding of data pipeline failures Experience of working on S erviceNow, Airflow, Stream sets, AWS EMR, GitLab and Snowflake Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders