Senior Data Engineer

Who we are

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at www.neotalentconclusion.com.

Role Overview

We are looking for a Senior Data Engineer to join our teams and contribute to the definition, evolution, and governance of complex data architectures within a large-scale and strategic environment. In this role, you will be responsible for designing end-to-end data solutions, driving architectural decisions, evaluating technology alternatives, and ensuring that data platforms are scalable, resilient, secure, and aligned with business objectives.

You will also provide technical leadership to multidisciplinary teams and support the adoption of best practices in data engineering, data governance, and enterprise architecture.

What you will do

• Analyze, challenge, and refine business, functional, and non-functional requirements to support architectural decisions;
• Design end-to-end data architectures covering data ingestion, integration, processing, storage, governance, and consumption;
• Define data models and integration patterns, including ETL/ELT, streaming, Change Data Capture (CDC), APIs, and event-driven architectures;
• Evaluate technology options, identify architectural trade-offs, document decisions, and establish reference architectures and design standards;
• Ensure data solutions meet requirements related to scalability, performance, security, resilience, data quality, governance, observability, and regulatory compliance;
• Provide technical guidance to Data Engineers, Architects, and implementation teams, while collaborating with business and technology stakeholders;
• Define architectures for Data Lakes, Lakehouses, Data Warehouses, Data Marts, and cloud-based analytical platforms;
• Produce architecture documentation, technical assessments, diagrams, and recommendations, presenting and defending solutions to technical and business audiences.

What you are like

• Previous experience with data modeling, including relational, dimensional, NoSQL, document, graph, geospatial, and time-series models;
• Experience with Data Warehouse, Data Lake, Lakehouse, Big Data, and modern analytics architectures;
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP);
• Strong expertise in data integration architectures, including ETL/ELT processes, streaming, CDC, APIs, and event-driven solutions;
• Experience in defining reference architectures, architectural principles, standards, and enterprise architecture frameworks will be a plus;
• Fluent in English.

Why join us

• Work on challenging projects for big clients;
• Learn more about emerging technologies;
• Possibility of working remotely;
• Design your career plan;
• Access to continuous training and certifications;
• Evolve through our internal mobility program;
• … and much more!