Data Engineer

Join Our Team at Lean Solutions Group (LSG)!

Lean Solutions Group (LSG) is a next-generation solutions provider combining AI-driven automation, industry expertise, and tech-powered talent. Built in the demanding Supply Chain sector, our model now supports 600+ clients across multiple industries, powered by 10,000+ employees in five countries. We help businesses achieve immediate efficiency, long-term resilience, and scalable growth by integrating intelligent technology, optimized processes, and high-performance teams.

At LSG, we believe in your talent and your potential. Join a multicultural, people-first environment where you can grow, sharpen your skills, and unlock new career opportunities. Here, every day brings fresh challenges, collaboration, and purpose.

Our Mission: Transform business challenges into lasting success through purpose-built teams, technology, and expertise.

Our Vision: A world where people, empowered by technology, turn any challenge into a catalyst for growth.

Position Description

The Senior Data Engineer/Consultant thrives in an integrated, distributed team environment, bringing deep, practical hands-on delivery experience to design, implement, and optimize modern data solutions across leading cloud and data platforms. In this role, you will work closely with clients to translate complex data requirements into scalable architectures, robust data pipelines, and actionable insights across various key industries.

Functions

• Architect, build, and deploy end-to-end data pipelines and modern data stack solutions for enterprise clients.
• Collaborate within cross-functional distributed teams to deliver scalable data storage, transformation, and analytics workflows.
• Optimize database and warehouse performance across major cloud platforms (AWS, GCP) and enterprise data lakehouses.
• Review client data architectures and deliver practical recommendations and technical solutions tailored to business needs.
• Ensure data governance, security, and quality standards are maintained across all implementation cycles.
• Perform technical evaluations and continuous improvement on existing data infrastructures.

Qualifications and Requirements

• 4+ years of hands-on experience as a Data Engineer, Data Architect, or Data Consultant in production environments.
• Proven delivery track record with enterprise cloud data warehouses and platforms such as Databricks or Snowflake.
• Strong proficiency in data pipelines, ETL/ELT processes, SQL, and programming languages like Python or Scala.
• Hands-on experience working with major cloud platforms (AWS or GCP).
• Excellent collaboration and communication skills in distributed, remote environments.
• Fluent English language proficiency (both verbal and written).
• Nice to Have: Official certifications in Databricks, Snowflake, AWS, or GCP.
• Nice to Have: Experience with orchestration tools (Airflow, dbt, Dagster) and CI/CD for data pipelines.

Technical Skills

• Languages & Core Tech: SQL, Python, Scala, ETL/ELT Processes, Data Pipelines.
• Platforms & Warehouses: Databricks, Snowflake, Enterprise Data Lakehouses.
• Cloud Infrastructure: Amazon Web Services (AWS), Google Cloud Platform (GCP).
• Orchestration & DevOps (Nice to Have): Airflow, dbt, Dagster, CI/CD for Data Pipelines.

Core Competencies

1. Data Architecture & Engineering: Expert ability to build scalable pipelines, optimize lakehouses, and translate complex requirements into modern data solutions.
2. Problem Solving & Technical Advisory: Analytical mind capable of reviewing complex client architectures and delivering tailored, actionable recommendations.
3. Data Governance & Security: Uncompromising focus on maintaining quality, integrity, compliance, and security standards throughout the data lifecycle.
4. Remote & Cross-Functional Collaboration: Strong ability to operate seamlessly across distributed, multi-regional engineering teams.
5. Client Focus & Communication: Clear, articulate verbal and written English communication for technical discussions and business consulting.