AI-Augmented Data Engineer

About us Hey! ⚓ Get ready to set sails and navigate the rindus wave ⛵️ We're rindus, a People company. We love IT professionals and our passion is to help and empower our crew to get the best out of themselves, unfold their full potential, and help them grow. Because growth is in our mindset, we're doing it since 2017, closely with our German Partners, helping them shape their software development teams. So far, we have 160+ crew members of 14 different nationalities sailing with us in the open seas. We ‘re expanding our team and looking for a new rinder to get on board. Are you the next to be reeled in ? ⛴ About our partner On behalf of our partner C&A , we are looking for the best talent to join rindus. C&A is a multinational retail clothing brand, with stores in all Europe. We are currently collaborating with their e-commerce division, with the headquarters in Düsseldorf (Germany) , you will work in a distributed team from our office in Málaga (Spain ) or from home. What you'll be doing You will join a modern data engineering initiative focused on building AI-assisted data pipelines using the latest cloud technologies. Rather than traditional data engineering alone, you will leverage AI coding assistants to automate and accelerate the entire data lifecycle, from source ingestion to trusted business-ready data. Working within a Modern Data Stack (Snowflake, dbt Cloud and Fivetran), you will collaborate in an AI-first engineering environment where connected tools and intelligent workflows help streamline development, testing and deployment. Build and maintain data pipelines from source systems into Snowflake. Configure and manage Fivetran data ingestion. Develop dbt models, tests, macros and documentation. Design staging, intermediate, mart and semantic data layers. Define and implement data contracts. Build automated testing and data quality validation. Use AI coding assistants (such as Claude Code) to improve engineering productivity. Work with MCP-connected tools to orchestrate workflows across the data platform. Review, validate and productionize AI-generated code. Contribute reusable templates, best practices and engineering standards. What you'll bring 4+ years of experience as a Data Engineer or Analytics Engineer . Strong hands-on experience with Snowflake . Practical experience with dbt Cloud (models, tests, macros, documentation, CI/CD). Advanced SQL and data modeling skills. Experience building and maintaining ELT data pipelines in modern cloud environments. Hands-on experience with Fivetran or similar ELT/ingestion tools (e.g. Airbyte, Stitch, Matillion). Experience developing and maintaining production-grade end-to-end data pipelines . Experience with Git-based development workflows . Understanding of CI/CD concepts. Experience implementing: Automated data testing Data documentation Data quality best practices Experience using AI coding assistants (Claude Code, Cursor, GitHub Copilot or similar) as part of the software development lifecycle, including reviewing and validating AI-generated code. Experience working with a Modern Data Stack . Nice to have: Experience with Claude Code . Experience with MCP (Model Context Protocol) . Experience with Cursor . Experience building or maintaining Semantic Layers (including dbt Semantic Layer). Knowledge of Data Contracts . Experience with Data Observability tools. Experience with Data Quality Frameworks (e.g. Great Expectations, Soda). Python for automation. API integrations and orchestration. Experience with Agentic AI workflows . What we offer ⛴ Being part of dynamic and highly motivated international multicultural team of skilled professionals. ⚖️ Flexible working model: You can choose the work model that fits your lifestyle (At office, hybrid or full remote) ⛱ 23 holiday days. ✔️ Private health insurance from day 1. ⛹ Gym Sponsorship. ✏️ English and German language classes. ✊ A young and ambitious team that knows when to work but also when to have fun (Pizza day, Summer event, Padel Tournaments, etc).