More Jobs Data Engineer Zed Consulting is looking for candidates for the position of Data Engineer.Location: London, United Kingdom (Hybrid)Industry: Software Development and IT Services Essential Requirements: – Design and implement scalable data pipelines for efficient collection, processing, and analysis of large datasets from multiple sources.– Collaborate with data scientists to transition machine learning models into production-ready applications.– Optimize and maintain data workflows, ensuring accuracy, consistency, and integrity throughout the process.– Evaluate and integrate new data management technologies to enhance analytics capabilities.– Develop and manage data repositories, following best practices for governance and security.– Create comprehensive documentation and provide training to team members on data systems and workflows.– Leverage cloud platforms such as AWS, Azure, and Google Cloud for data storage, processing, and machine learning deployment.– Stay up to date with industry trends and emerging technologies in data engineering and machine learning.– Lead the development and deployment of machine learning models, driving key business outcomes and performance metrics.– Build and maintain scalable data pipelines and feature stores for training and inference use cases. – Collaborate with product, engineering, and business teams to identify high-impact data science opportunities and ensure seamless execution.– Monitor and retrain production models to maintain performance and address data drift challenges.– Contribute to architectural decisions for data platforms and model-serving infrastructure.– Mentor junior team members and promote best practices in data science engineering. Qualifications: – Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline.– 3–5 years of experience in data science and engineering, with a proven track record of delivering production-ready solutions.– Strong ability to translate business problems into data science initiatives with measurable outcomes.– Extensive hands-on experience in some of the following technologies, Databricks, SQL, Python, and Spark for large-scale data processing.– Strong expertise in data warehousing technologies (e.g., Snowflake, Redshift, BigQuery, or similar).– Experience with distributed data processing frameworks (Spark, Hadoop, or similar).– Deep understanding of ETL processes, data modeling, and schema design.– Strong experience with cloud-based data solutions (AWS, Azure, GCP) and data lake architectures.– Experience with automation, CI/CD for data pipelines, and Infrastructure as Code (IaC). Note: — Please share relevant CVs at resume@thezedconsulting.com and mention the job title in the subject.