Location : Remote Mode : Contract (2 Months with Possible Extension) Years of experience : 3+ Years Shift : UK shift Job Summary We are looking for a highly motivated and detail-oriented Data Engineer with a strong background in data cleansing, Python scripting, and SQL to join our team. The ideal candidate will play a critical role in ensuring data quality, transforming raw datasets into actionable insights, and supporting data-driven decision-making across the organization. Key Responsibilities Design and implement efficient data cleansing routines to remove duplicates, correct anomalies, and validate data integrity. Write robust Python scripts to automate data processing, transformation, and integration tasks. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Work closely with data analysts, business stakeholders, and engineering teams to understand data requirements and deliver clean, structured datasets. Build and maintain data pipelines that support large-scale data processing. Monitor data workflows and troubleshoot issues to ensure accuracy and reliability. Contribute to documentation of data sources, transformations, and cleansing logic. Requirements Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 3+ years of hands-on experience in data engineering, with a focus on data quality and cleansing. Strong proficiency in Python, including libraries like Pandas and NumPy. Expert-level knowledge of SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Familiarity with data profiling tools and techniques. Excellent problem-solving skills and attention to detail. Good communication and documentation skills. Preferred Qualifications Experience with cloud platforms (AWS, Azure, GCP) and data services (e.g, S3, BigQuery, Redshift). Knowledge of ETL tools like Apache Airflow, Talend, or similar. Exposure to data governance and data cataloging practices (ref:hirist.tech)
Location : Remote Years of experience : 15+ Years Shift : US shift Job Summary We are looking for a seasoned UI Path Process Mining Consultant with 15-20 years of experience in the manufacturing industry. The ideal candidate will have a deep understanding of manufacturing operations, extensive experience in process optimization, and hands-on expertise with UI Path Process Mining. Familiarity with QAD ERP systems and strong integration knowledge is essential. This role will involve working with cross-functional stakeholders to uncover inefficiencies, enable process transparency, and drive data-led decision-making for continuous improvement. Key Responsibilities Lead comprehensive Process Mining initiatives using UI Path across manufacturing business functions. Partner with stakeholders across operations, quality, supply chain, and IT to map and analyze critical processes. Integrate various enterprise systems, especially QAD ERP, MES, and PLM platforms, with the Process Mining tool. Interpret large volumes of data to identify bottlenecks, redundancies, and areas suitable for automation. Create visual dashboards, KPIs, and actionable reports to support executive decision-making. Collaborate with CoE teams to translate mined insights into automated process pipelines. Ensure compliance with audit and governance frameworks through detailed documentation and process transparency. Guide junior team members and act as a domain expert in manufacturing and process transformation. Required Skills & Qualifications Bachelor's/Master's degree in Engineering, Computer Science, Operations, or a related discipline. 15-20 years of experience in the manufacturing sector, with a focus on process improvement, automation, or digital transformation. Minimum 3-5 years of hands-on experience with UI Path Process Mining or similar tools (e.g., Celonis, Signavio). Proven experience with QAD ERP and understanding of its data structures and process flows. Deep knowledge of manufacturing business processes - including production, quality, logistics, and supply chain. Strong skills in SQL, data modeling, and business intelligence/reporting tools. Excellent communication skills with the ability to influence cross-functional stakeholders. Strategic mindset with a track record of driving value through data and automation. Preferred Qualifications UI Path certifications in Process Mining, Automation, or RPA. Exposure to Lean, Six Sigma, or other process improvement frameworks. Experience leading digital transformation projects in a manufacturing environment. Familiarity with integration platforms and data lakes (ref:hirist.tech)