Data EngineerAbout Reply:Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services. Role Overview:As a Data Engineer, you will design, develop, and implement data solutions using cloud-based services, focusing on Microsoft Azure technologies such as Azure Data Factory, Azure Databricks, Synapse Analytics, and Data Lake Storage. You will collaborate with clients and internal teams to understand business requirements, troubleshoot data issues, and deliver robust solutions that enhance data accessibility and analytics.You will also have the opportunity to mentor junior engineers and contribute to the long-term growth of the team. Career progression towards technical architecture and leadership roles is encouraged.A background in Python, Scala, or SQL development is preferred.Responsibilities:Design, develop, and maintain data pipelines using Azure Data Factory and Databricks.Implement data models and analytics solutions using Synapse Analytics and Data Lake Storage.Collaborate with clients to understand their data needs and provide tailored solutions.Develop and optimise ETL/ELT processes to maintain data integrity and performance.Ensure data solutions are scalable, resilient, and secure.Troubleshoot and resolve data-related issues efficiently.Experience in data engineering with Microsoft Azure.Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.Strong Python, Scala, or SQL development background.Understanding of data modelling and analytics solutions.Familiarity with data frameworks (e.g., Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure Code (e.g., Exposure to machine learning and AI solutions.Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
Senior Engineer, Data Engineering employer: Reply
Reply is an exceptional employer, offering a dynamic work environment in the heart of central London, where innovation meets collaboration. As a Graduate ICT Infrastructure Engineer, you will benefit from a culture that prioritises professional growth, with opportunities for further certifications and skill enhancement in cutting-edge technologies. With a commitment to diversity and equal opportunities, Reply fosters a supportive atmosphere that encourages employees to thrive while contributing to impactful projects across various sectors.
