Sobre a função

Who are we: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 – Snowflake to integrate our teams into a high-impact data platform environment. In this role, you will take ownership of the end-to-end data lifecycle within Snowflake, building and maintaining trusted, analytics-ready data layers while leveraging AI-assisted development practices to accelerate delivery, improve quality, and ensure consistency across the platform. What you will do:Build and maintain bronze, silver, and gold data layers in Snowflake, ensuring reliable data pipelines for analytics and downstream consumption

Design and implement scalable data models aligned with canonical domain structures (e.g., financial entities, reporting and compliance datasets)

Develop and operate Snowflake Streams, Tasks, and Stored Procedures to orchestrate efficient, incremental data processing

Ensure data quality by implementing validation frameworks, monitoring, and alerting to maintain trust in Gold-layer outputs

Establish robust ingestion patterns using Fivetran-synced data and Secure Data Shares, ensuring clean transitions between data layers

Leverage AI-assisted development to accelerate SQL transformations, automate documentation, generate test cases, and streamline engineering workflows

Build internal tooling using Streamlit within Snowflake to support operational processes such as data validation, reconciliation, and workflows

Collaborate with BI teams to structure data models optimised for Power BI, Qlik, and other analytics use cases while avoiding duplication and technical debt. What you are like:Proficient in Snowflake, including advanced SQL, data modelling, query optimisation, and usage of Streams, Tasks, and Stored Procedures

Experienced in building and maintaining layered data architectures (Bronze/Silver/Gold or equivalent medallion frameworks)

Skilled in designing robust data ingestion and processing patterns, including working with tools such as Fivetran or similar ELT solutions

Strong in Python development for data engineering utilities and operational tooling, including building applications with Streamlit

Experienced in applying AI-assisted development techniques to improve productivity, automate repetitive tasks, and enhance delivery quality

Knowledgeable in enabling downstream analytics, structuring datasets for BI tools such as Power BI or Qlik, and aligning data models with business needs

Strong communicator, able to collaborate with both technical and business stakeholders and ensure clarity in data delivery