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:
- Build & Maintain Pipelines: Develop and maintain batch and streaming data pipelines using technologies such as Spark and Delta Lake.
- Data Platform Development: Support ingestion, transformation, and curation workflows across platforms such as Fabric, Snowflake, Databricks, or AWS.
- Data Modeling: Contribute to logical and physical data models that support analytics and business reporting. Workflow Orchestration: Work with orchestration tools such as Airflow, dbt, Lakeflow, or similar technologies to manage data workflows.
- Data Quality & Governance: Help implement data governance practices, monitoring, and access controls to ensure reliable data delivery.
- Collaboration: Partner with data analysts, data scientists, and engineering teams to deliver datasets and pipelines that support business insights.
- Optimization: Assist in monitoring pipeline performance and improving reliability, scalability, and cost efficiency.
Requirements & Qualifications:
To excel in this role, you should possess:
- 3+ years of experience working as a Data Engineer or in a related data engineering role.
- Experience building data pipelines and ETL/ELT processes.
- Strong programming skills in Python and SQL.
- Hands-on experience with Apache Spark or similar distributed data processing frameworks.
- Understanding of data modeling concepts and data warehousing practices.
- Experience working with cloud data platforms such as Fabric, Snowflake, Databricks, or AWS.
- Familiarity with data orchestration tools such as Airflow, dbt, or similar solutions.
- Experience collaborating with cross-functional data teams in agile environments.
Nice to Have:
- Familiarity with CI/CD pipelines for data workflows
- Exposure to machine learning or AI-related data pipelines
- Experience with Azure data services
- Basic knowledge of streaming architectures
Soft Skills:
- Strong problem-solving mindset with attention to data quality and performance.
- Clear communication and collaboration with technical and non-technical stakeholders.
- Ability to work effectively in distributed teams.
- Continuous learning attitude and curiosity about new data technologies.
