Company Description MSX International Group is the leading global provider of outsourced business solutions for the automotive industry, operating in more than 80 countries. Our deep industry expertise combined with advanced data analytics and custom software solutions improves the performance of automotive dealership networks by increasing revenue, reducing costs, and enhancing customer satisfaction. Job Description The Data Engineer will build and operate scalable, reliable data pipelines (ingestion, transformation, orchestration) powering the knowledge base, analytics, and applications that support MSX’s knowledge initiative. This role creates scalable, secure database information that powers AI-driven automotive intelligence across global operations. Key Responsibilities Data Pipeline Architecture & Development – Design, implement, and monitor data pipelines/ETL/ELT. Manage connectors to source systems. Build robust database systems for automotive knowledge storage integrating diverse data sources (SharePoint, TrackIt, external APIs). Build data warehousing solutions enabling advanced analytics and AI applications. Performance Optimization & Scalability – Implement data quality checks, lineage, and data contracts. Optimize database performance for global access across 80+ countries. Automate orchestration and CI/CD. Support backfill, remediation, and performance tuning. Integration & Security – Integrate with existing MSX systems and cloud platforms (Azure, GCP, AWS). Implement robust security measures protecting proprietary automotive knowledge. Develop API interfaces for seamless knowledge access by AI agents and applications. Establish data governance frameworks ensuring compliance with global regulations. Secure and govern data access and secrets. Technical Collaboration – Partner with Knowledge Architect and Data Scientist on optimal data structure implementation. Support Knowledge Champions and Knowledge Acquisition Specialists with data collection tool development. Collaborate with development team on system integration requirements. Work with PM on milestone definition, risk assessment, PMO on technical milestone and risk tracking, and Privacy/DPO on compliance. Qualifications Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field. 4–7+ years in data engineering; delivering production-grade pipelines under governance and privacy constraints. Expertise in SQL, database design, and optimization techniques. Experience with orchestration tools (Airflow/Prefect). Experience with cloud platforms and services (Azure, AWS, GCP – Snowflake/BigQuery/Databricks) and distributed systems. Experience with Python/Scala. Proficiency in ETL tools and data integration technologies, both streaming and batch; IaC basics, observability and versioning. Strong understanding of data security and compliance requirements. Preferred Qualifications Experience with automotive industry data systems or BPO environments. Background in AI/ML data infrastructure and knowledge management systems. Certification in cloud platforms or database technologies. Experience with multi-language data systems and global database management. Knowledge of automotive industry compliance and data regulations. MSX is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, neurodiversity or other personal characteristics and backgrounds, age, sexual orientation, gender reassignment, religion or belief, or marital and parental status. As users of the Disability Confident scheme, we interview all disabled applicants who meet the minimum criteria for the vacancy. #J-18808-Ljbffr