Data Engineering Consultant

SDG Group is a global consulting firm specializing in Data, Analytics, and AI. The Data Engineering Consultant will design, develop, and deliver scalable data solutions for clients, including pipelines, integrations, models, warehouses, and cloud-based platforms. The role also involves client collaboration, technical delivery, data quality improvement, and teamwork across the project lifecycle.

Responsibilities

• **Data Engineering & Development:** Design, build, test, and maintain scalable data pipelines and data processing solutions that support client analytics and business requirements
• **Data Integration:** Integrate data from a variety of structured and unstructured sources using modern ETL/ELT methodologies and data integration tools
• **Data Modeling & Warehousing:** Develop and maintain data models and warehouse structures that support reporting, analytics, and downstream applications
• **Cloud Data Solutions:** Contribute to the implementation of cloud-based data platforms using technologies across environments such as AWS, Azure, GCP, Snowflake, Databricks, or similar platforms
• **Technical Delivery:** Write efficient SQL and code to transform, validate, and manage data while following development, testing, documentation, and deployment best practices
• **Client Collaboration:** Work directly with clients and internal stakeholders to gather requirements, understand business challenges, communicate technical concepts, and deliver solutions aligned with client needs
• **Data Quality & Performance:** Identify opportunities to improve data quality, reliability, scalability, and performance across client data environments
• **Team Collaboration:** Work closely with data engineers, analysts, architects, data scientists, and business stakeholders throughout the project lifecycle
• **Continuous Learning:** Stay current with evolving data engineering technologies, methodologies, and industry best practices while contributing knowledge and ideas to the broader SDG community

Preferred

• Experience within consulting or another client-facing environment is a plus
• Consulting Experience
• Client-Facing Experience

Benefits

• Full-time employment in a growing high-tech industry with a meritocratic culture that supports career advancement and professional development.
• A 401(k) retirement plan with employer match.
• Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.
• 3+ weeks of paid vacation.
• A flexible holiday schedule.
• Hybrid working arrangements that balance on-site and remote work.
• A collaborative environment where you will work alongside experienced professionals, learn from your colleagues, and contribute to meaningful client engagements.
• Continuous training and exposure to modern Data, Analytics, and AI technologies, supported by SDG Group’s partnerships with leading technology providers.

Company

• AI, data and analytics consulting firm
• Bedminster , New Jersey, US
• http://www.sdggroup.com/
• Founded in 1994
• 1001-5000 employees

Qualifications

• Approximately 3–5+ years of experience in data engineering, data warehousing, data integration, analytics engineering, or a related technical discipline
• Strong understanding of data pipelines, ETL/ELT processes, data integration, data warehousing, and data transformation concepts
• Strong SQL skills and working proficiency in Python or another relevant programming or scripting language
• Experience working with at least one modern cloud or data platform, such as AWS, Azure, GCP, Snowflake, Databricks, or comparable technologies
• Exposure to modern data engineering, orchestration, or transformation tools such as dbt, Matillion, Fivetran, Airflow, Informatica, Azure Data Factory, or similar technologies
• Understanding of dimensional modeling and modern data modeling concepts used within analytical environments
• Strong analytical skills with the ability to troubleshoot data issues, understand complex requirements, and translate business needs into technical solutions
• Strong written and verbal communication skills with the ability to collaborate effectively with clients, technical teams, and business stakeholders
• A proactive, collaborative approach and willingness to continuously learn new tools, technologies, and methodologies
• Experience within consulting or another client-facing environment is a plus
• Approximately 3–5+ years of experience in data engineering, data warehousing, data integration, analytics engineering, or a related technical discipline.

Required skills

• Data Engineering, SQL, Python, Data Pipelines, ETL/ELT, Data Integration, Data Warehousing, Cloud Data Platforms, Dimensional Modeling, dbt, Matillion, Fivetran, Apache Airflow, Informatica, Azure Data Factory

Preferred skills

• Written and Verbal Communication

Experience

• 3+ years