Ai-Augmented Data Engineer

rindus Technology S.L
Madrid, Spain
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours
Languages
English, German

Tech stack

Artificial Intelligence Automation of Tests Cloud Computing Continuous Integration Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Cursor (Graphical User Interface Elements) Information Lifecycle Management Python (Programming Language) DataOps
+12 more
Software Engineering Working Model 2D Macros Sql Optimization GitHub Copilot Snowflake Git Data Layers Virtual Agents Data Pipelines Automation Anywhere Api Management

Job description

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 **, 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 partnerOn 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 doingYou 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.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 bring4+ years of experience as aData EngineerorAnalytics Engineer .Strong hands?on experience withSnowflake .Practical experience withdbt Cloud(models, tests, macros, documentation, CI/CD).AdvancedSQLand data modeling skills.Experience building and maintainingELT data pipelinesin modern cloud environments.Hands?on experience withFivetranor similar ELT/ingestion tools (e.g. Airbyte, Stitch, Matillion).Experience developing and maintainingproduction?grade end?to?end data pipelines .Experience withGit?based development workflows .Understanding ofCI/CDconcepts.Experience implementing:Automated data testingData documentationData quality best practicesExperience usingAI 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 aModern Data Stack .Nice to haveExperience withClaude Code .Experience withMCP (Model Context Protocol) .Experience withCursor .Experience building or maintainingSemantic Layers(including dbt Semantic Layer).Knowledge ofData Contracts .Experience withData Observabilitytools.Experience withData Quality Frameworks(e.g. Great Expectations, Soda).Python for automation.API integrations and orchestration.Experience withAgentic AI workflows .What we offerBeing 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).#J-***-Ljbffr

Requirements

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).

About the company

Madrid, España

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 **, 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. 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

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