A Data Engineer Lead is required for our client based in Huddersfield. This is a hybrid position with some flexibility, you will be required in the office in accordance with business needs. Our client is looking for a Data Engineer Lead who has previous experience of vision setting, creating and embedding standard procedures and ways of working, decision making impacting an organisation and working collaboratively with other service areas, and supporting delivery through leading by example. Key areas of responsibility; Build and develop the client's data engineering capability and practice, providing professional people and technical leadership. Take technical responsibility for all stages and/or iterations of a data engineering project, providing method-specific technical advice and guidance to stakeholders. Implement best practice and set standards for data engineering, tools, techniques and methods. Advise on the application of standards and methods and ensure compliance. Lead work to define test conditions based on a review of requirements and specifications. Lead the design, development and implementation of complex data flows to connect and transform data from a range of data sources within, and external. Lead work to bring together multiple data sources to a conformed model for analysis and, where required, reverse-engineer data models from live systems. Establish enterprise-scale data integration procedures across the data development life cycle and ensure that teams adhere to these. Predict and advise on future technology changes that present opportunities for and/or risks to a product or programme. Identify and respond to/develop opportunities to re-use existing data flows between and across teams Promote and communicate the value in metadata repositories and set up robust governance processes to keep repositories up to date. Proactively lead work and identify opportunities for data quality improvements Experience required; Relevant Data Engineering experience within a Lead position - Strong leadership skills along with the relevant technical competencies is a must. Experience of implementing and working with cloud-based data platforms and services (e.g., Microsoft Azure , Amazon Web Services) Knowledge of the concepts and principles of data modelling and experience of producing relevant data models across multiple subject areas. Experience and skills in designing, building and testing data products and services that are complex or large-scale. Experience of developing and implementing data engineering practice and process standards. Experience of leading, managing and developing teams, providing technical leadership and career development. Experience of building and continually improving data engineering capability and practice. Experience of working with a range of data types and structures. Advanced skills in developing databases and extracting, transforming, manipulating and modelling data using a range of programming languages.