2 of 2 Part-Time Data Engineering Jobs in the North of England

Build the future of Conversational AI with ConnexAI. As a Speech Data Engineer, your work will power the data behind real-time speech systems used by millions worldwide, ensuring our AI learns from clean, accurate, and reliable datasets. By curating and engineering the voice data that fuels our models, youll help shape products that transform how … scale speech datasets, ensuring they are versioned correctly, catalogued, and easy to retrieve. Build automated pipelines using Python, Bash, AWS, Docker, and automation tools to clean and validate speech data, identifying duplicates, corrupted files, or inconsistencies. Coordinate with the annotation team to manage labelling workflows and ensure high-quality, consistent annotations across datasets. Set up and monitor automated model … evaluation pipelines, tracking metrics such as Word Error Rate (WER) and Character Error Rate (CER) to provide actionable feedback to engineering and data science teams. Prepare specialised datasets for experimental or production models, supporting the development of cutting-edge ASR and conversational AI systems. Ensure all datasets are securely backed up, recoverable, and well-documented for use across More ❯

Azure Senior Data Lead with Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Python, Power BI. Job Summary The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Power BI and Python. The role involves designing, developing … and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions. (1.) Key Responsibilities 1. Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, Power BI and python. 2. Design and develop efficient and reliable etl processes for large … datasets. 3. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. 4. Optimize data workflows, troubleshoot issues, and ensure data quality and integrity. 5. Implement best practices for data security, governance, and compliance. 6. Provide technical guidance, mentoring, and support to junior team members. 7. Stay uptodate with the latest trends More ❯