Base salary plus 20% benefits for Data Engineering Lead London (Hybrid) (Hybrid) Our leading banking client in the United Kingdom is looking for a highly skilled Lead Data Engineer to join their team on a permanent basis. What you intend to do We'll rely on you to add value to the customer's experience through modelling, sourcing, and data transformation. You will collaborate closely with core technology and architecture teams to deliver strategic data solutions while driving Agile and DevOps adoption in data engineering delivery. We also anticipate you to be: Providing data engineering pipeline automation by eliminating manual stages Developing a thorough understanding of the bank's data structures and metrics, as well as advocating for change where necessary for product development Role modelling, training, and experiment design oversight are used to educate and integrate new data techniques into the business. Providing data engineering strategies for data scientists to build a scalable data architecture and customer feature rich dataset. Creating streaming data ingestion and transformation solutions in accordance with the streaming strategy The abilities you will require You must be a confident data engineering leader with strong people management and stakeholder management skills to be successful in this role. You'll have demonstrated critical thinking and problem-solving abilities, as well as experience working in environments with multiple data and analytics systems. You'll also need a solid understanding of data usage and dependencies with other teams and the end user, as well as a track record of extracting value and features from large amounts of data. In addition, you will demonstrate: Excellent knowledge of modern code development practises, as well as cloud data solutions and principles ETL technical design experience, automated data quality testing, QA and documentation, data warehousing, data modelling, and data wrangling Extensive knowledge of RDMS, ETL pipelines, Python, Hadoop, and SQL, as well as Pyspark and Synapse. Experience with Azure Data Lake, Azure Data Factory, and Databricks is preferred. Experience with ML models and ML operations Model factories and pipelines An understanding of decentralised data architectures If this position sounds like a good fit for your skill set and you'd like to learn more, please apply and I'll contact you to discuss further. We are an equal opportunity employer and encourage applications from all qualified candidates, regardless of race, gender, disability, religion/belief, sexual orientation, gender reassignment, marriage and civil partnerships, pregnancy or maternity, or age.