Data engineer

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

Описание:

For more than 30 years, SDG Group has been turning data into real impact. We are a global consultancy 100% specialized in Data, Analytics and Artificial Intelligence, recognized by Gartner, Penteo and Everest Group. Our technical depth and business knowledge make a difference in our clients' data-driven transformation. We deliver more than 1,000 projects a year, with highly specialized teams and solutions that reach production. If you want to grow in the world of data, this is the place.

Задачи:

You will be responsible for the development and execution of projects with a team, ensuring that all project phases are completed, from requirements gathering through to production deployment. This includes technical-functional definition, ETL development and data modeling, and visualization. Take part in developing end-to-end data engineering solutions, from understanding the problem and business objectives to building fully production-ready data systems. Act as a technical reference for the processes and architectures developed to carry out the design phases. Take part in functional definition and analysis in collaboration with the client, ensuring solutions are tailored to their needs. Work day to day with on-premise or cloud tools, ingesting, modeling and transforming data, as well as applying engineering best practices within the team. Provide internal and external training on tools relevant to the team, and identify training and certifications needed for the team's growth. Stay up to date with the latest technology trends, with a special focus on Data & Analytics, particularly cloud platforms, orchestration tools and modern data architectures. Integrate into SDG's culture and its business unit, contributing to a collaborative and efficient environment. Take part in the company's and team's day-to-day activities.

Требования:

Degree in Computer Engineering, Telecommunications, Industrial Engineering, or a Higher Vocational Training qualification or similar. At least 4 years of experience in a Data Engineer role, implementing and putting into production data ingestion and transformation solutions using on-premise or cloud tools. Communication and analytical skills, with a business orientation, to understand project context and help our clients make decisions. A proactive and participative attitude is important. Proven project management, teamwork and adaptability skills for changing environments. Strong knowledge of Data & Analytics technologies, with proven experience developing with SQL and ETL technologies. Knowledge of data modeling, with particular importance placed on adapting to cloud environments (AWS, Azure, Google). Knowledge of at least one of the Data Cloud platforms: Snowflake, BigQuery, Redshift and/or Fabric. Будет плюсом: Additional training in Big Data, cloud data architectures or related disciplines will be valued; Previous experience in consulting environments is valued, as is the ability to understand client dynamics and needs; Experience with orchestration tools such as Apache Airflow or similar is valued; Knowledge of data integration tools such as dbt, Talend, etc. is valued; Knowledge of code management methodologies is valued; It will be a plus if you can communicate in English!

Условия:

We work with the latest technologies on the market and will train you to master innovative tools on cutting-edge, greenfield projects with high impact. We also have an innovation area where we explore new partnerships and R&D centers. You will have semiannual or annual salary reviews, depending on your professional category, and merit-based development, with the opportunity to pursue a more technical path or move into leadership and management positions. You will join teams with extensive technical and business experience in a collaborative environment where you can rely on other professionals, learn from experts and develop continuously. Our commitment to the principles of equality, diversity and inclusion in the workplace is reflected in our adherence to the Diversity Charter in Spain. Different perspectives, better solutions. Stable position with prospects: the opportunity to build your long-term career on Data & Analytics projects that make a real impact. Flexibility: hybrid working model adapted to the team's needs, with the possibility of working fully remotely depending on location. Shorter working hours on Fridays and during July and August. Salary in line with your education and experience. Financial support for remote working. Ongoing training: official certifications, conferences, workshops and courses. Flexible benefits: meal voucher, childcare voucher, transport allowance and private health insurance with Mapfre, extendable to your family.