Senior Data Analyst / Data Engineer

Education: Engineering (Computer Science, Systems, Telecommunications), Mathematics, Statistics, or related degrees with a strong computational foundation.

Experience: Minimum between 5 to 7 years in data roles, combining experience in technology consulting or complex corporate environments.

In addition to joining a dynamic and growing team, you will enjoy:

• Intensive Friday Schedule ⏰ to balance your personal and professional life.

• Offices in Barcelona 🏢 with fresh fruit and unlimited coffee ☕.

• 24 Vacation Days 🌞 + 2 additional days that we give you as a gift 🎉.

• Competitive Salary Package 💰, according to your experience and skills.

• Continuous Development 📈, with periodic reviews to help you reach your goals.

• A dynamic and collaborative team, where every member is valued and essential to collective success.

Boost your career from our HQ in Barcelona!

Are you interested in developing your profile in an environment of strategic consulting and high technological innovation? Are you looking for a challenge where your technical skills transform data into key business decisions? At Strategic Platform, we combine strategy and technology to create products and services that drive organizational growth. We apply knowledge and method to accelerate technological adoption and generate real business impact by finding new territories of opportunity. We ensure our clients' results.

Currently, we are looking for a Senior Data Analyst / Data Engineer to join our team in Barcelona and technically lead one of our key projects.

We are looking for a hybrid and highly resourceful profile, with solid experience in data analysis and processing, capable of moving with agility between data engineering and business analysis. You will integrate into the project to design, implement, and maintain reliable and scalable data pipelines, directly supporting decision-making through high-level quantitative analysis.

As a Senior Data Analyst / Data Engineer, your functions will focus on:

Data Engineering and Architecture: Designing, building, and maintaining robust ETLs for data ingestion and transformation from multiple sources.

Modernization and Orchestration: Orchestrating and monitoring data pipelines using Apache Airflow and managing the deployment of solutions in Cloud (AWS and Azure) environments and containers (Docker).

Quality and Modeling: Developing and optimizing complex queries in SQL (SQL Server), ensuring efficient relational modeling and the maintenance of stored procedures and views.

Business Analysis: Performing exploratory and advanced analysis (EDA) using Python (pandas, numpy) to identify patterns, trends, and real improvement opportunities for the business.

Cross-functional Collaboration: Acting as a bridge between technology, product, and business teams, translating functional requirements into technical data solutions and documenting operational flows.

You will work cross-functionally with multidisciplinary internal teams, coordinating workstreams and ensuring the technical quality of deliverables.

• Advanced mastery of SQL (SQL Server).

• Solid programming in Python for analysis and automation.

• Experience in orchestration with Airflow.