Data Engineer — Remote/Hybrid, Growth & Certifications

SDG Group España; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Salary reviews

Hybrid work model

Remote work depending on location

Training & certifications

Private health insurance with Mapfre

Meal and transport vouchers

Job summary

SDG Group España invites a Data Engineer to join a global consultancy focused on Data, Analytics and AI. You will develop end-to-end data solutions, from requirements gathering to production deployment, including ETL, data modeling and visualization for client projects.

You will work with on-premise or cloud tools, collaborate with clients, and mentor teammates while staying current with data platforms and modern architectures. Hybrid work is available, with remote options depending on location.

Qualifications

• Degree in Computer Engineering or related field.
• At least 4 years as Data Engineer.
• Experience delivering production data ingestion/transformation.
• Strong SQL and ETL development background.
• Knowledge of data modeling and cloud environments (AWS/Azure/Google).
• Familiarity with Data Cloud platforms: Snowflake/BigQuery/Redshift.
• Nice-to-have: English communication.

Responsibilities

• Develop and deliver data engineering projects from requirement to production.
• Define technical and functional specs and data models.
• Build ETL processes and data transformations.
• Create production-ready data systems and dashboards.
• Collaborate with clients to tailor solutions.
• Train team and share best practices.
• Stay current with cloud platforms and data architectures.
• Contribute to SDG culture and day-to-day activities.

Skills

SQL & ETL

Data modeling

Cloud platforms

Analytical skills

English language

Education

Bachelors in Computer Engineering

Tools

Apache Airflow

dbt

Talend

Snowflake

BigQuery

Redshift

Job description

SDG Group España invites a Data Engineer to join a global consultancy focused on Data, Analytics and AI. You will develop end-to-end data solutions, from requirements gathering to production deployment, including ETL, data modeling and visualization for client projects.

You will work with on-premise or cloud tools, collaborate with clients, and mentor teammates while staying current with data platforms and modern architectures. Hybrid work is available, with remote options depending on location.