Senior 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.

What you will be doing:

We are looking for a Senior Data Engineer who thrives in an integrated, distributed team environment and brings deep, practical hands-on delivery experience. In this role, you will design, implement, and optimize modern data solutions across leading cloud and data platforms. You will work closely with clients to translate complex data requirements into scalable architectures, robust data pipelines, and actionable insights.

Key responsibilities

• 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 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.

Required Skills & Experience

• 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 (verbal and written).

Nice to Have Skills

• Official certifications in Databricks, Snowflake, AWS, or GCP.
• Experience with orchestration tools (Airflow, dbt, Dagster) and CI/CD for data pipelines.