Tech & Delivery Lead – Data Engineer

Role: Tech & Delivery Lead – Data Engineer (Senior Professional 2)Location: RemoteStart Date: March 9, 2026Language Requirement: Fluent English (Written and Spoken - C1)Role OverviewWe are looking for a highly skilled Tech & Delivery Lead – Data Engineer to spearhead the delivery of modern data products. This position is a hybrid of technical leadership, hands-on engineering, and operational ownership. You will be responsible for the entire lifecycle of data products—from ingestion to serving—while working closely with domain teams to ensure long-term scalability and self-sufficiency within a Data Mesh environment. As the Senior Professional 2, you will lead a structured team consisting of one Senior Professional 1 and four Professional 2 Data Engineers to meet complex delivery requirements.Core Responsibilities1. Build and Deliver Data ProductsDevelop source-aligned and analytical data products for BI, ML, and AI use cases.Define and implement data contracts, documentation, SLAs, and runbooks.Collaborate within cross-functional teams to ensure data products meet business requirements.2. Standards and Reusable PatternsImplement and provide feedback on modeling patterns, testing strategies, CI/CD pipelines, and 'golden paths.'Contribute to shared libraries and reusable templates to streamline engineering efforts.Identify and propose improvements when existing standards do not meet operational needs.3. Team Enablement and MentorshipBootstrap ownership, standards, and tooling within domain teams.Facilitate structured knowledge transfer and pair-programming sessions.Support the transition of product ownership to domain teams to ensure sustainability.4. Professional OperationsManage production-grade lifecycles, ensuring data quality, lineage, and observability.Monitor health, cost control, and usage of all delivered data products.Adhere to strict governance and SLA standards.Required Technical Competence• Minimum 5 years of experience in Data Engineering.• Experience from more than four larger previous assignments of mixed complexity, business areas, and implementation character.• Mandatory proven delivery of pipelines and data products on:• AWS.• Snowflake.• dbt.• Azure.• Witboost.• Dreamio.• Strong proficiency in dbt and modern ELT/ETL practices.• Strong experience with CI/CD and automated testing in data environments.• Experience working in Data Mesh environments.• Experience applying DataOps principles in production environments.• Strong understanding of data governance, data contracts, modeling patterns, and reusable golden paths.Personal Competencies• Strong delivery ownership mindset within a managed service context.• Ability to operate in an output-driven delivery model.• High technical credibility and structured problem-solving ability.• Strong collaboration skills in cross-functional and distributed teams.• Proactive, quality-oriented, and improvement-driven.