Data Engineer

Job not on LinkedIn

🕒 June 3

🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 27%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sales Consulting

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1998

🚘 Automotive

🍽️ Food & Beverage

🏥 Healthcare

Automotive • Food & Beverage • Healthcare

Sales Consulting is a Human Resources consulting firm established in 1998. Specializing in recruitment and selection, personnel leasing, assessment centers, and consultancy, Sales Consulting provides comprehensive HR solutions across several industries including IT&C, automotive, outsourcing, pharma, banking, and FMCG. With a team of 130 coworkers, Sales Consulting handles around 150 recruitment processes monthly, showcasing its operational excellence and industry-specific knowledge. The company is a market leader in Transylvania and continues to expand its reach in Romania and the surrounding region. Sales Consulting is committed to client orientation, teamwork, flexibility, excellence, and responsibility to ensure long-term partnerships and professional growth opportunities for both clients and candidates.

📋 Description

• Design, develop, and maintain scalable data pipelines for data ingestion, processing, and transformation • Integrate data from multiple source systems (e.g., ERP, MES, engineering systems) • Ensure data quality, consistency, and reliability across the data platform • Implement and optimize data storage and processing solutions • Collaborate with Data Architects to align with target architecture and standards • Support Data Scientists and business teams by providing well-structured and accessible data • Monitor and troubleshoot data pipelines and workflows • Contribute to the development of a modern, cloud-based data platform • Apply software engineering best practices in data development

🎯 Requirements

• Degree in Computer Science, Engineering, or a related field • Several years of experience in data engineering or software engineering • Strong programming skills (e.g., Python, SQL) • Experience with data integration and pipeline development • Familiarity with modern data architectures (data warehouse, data lake, lakehouse) • Experience with cloud-based data platforms (e.g., GCP, AWS, Azure) is a plus • Understanding of data quality and monitoring concepts • Experience with version control and CI/CD pipelines • Strong problem-solving skills and attention to detail • Ability to work in cross-functional teams

🏖️ Benefits

• Opportunity to build and shape a modern data platform from the ground up • Work in a global industrial environment with real-world impact • Close collaboration with Data & AI teams and business units • High degree of ownership and responsibility • A dynamic environment with room for innovation and growth