Tech & Delivery Lead – Data Engineer

Role: Tech & Delivery Lead – Data Engineer (Senior Professional 2)Location: Remote

Start Date: March 9, 2026

Language Requirement: Fluent English (Written and Spoken - C1)

Role Overview

We 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 Responsibilities

1. Build and Deliver Data Products

• Develop 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 Patterns

• Implement 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 Mentorship

• Bootstrap 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 Operations

• Manage 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.