Data Engineer - Snowflake + Dbt

office people
Lleida (Lérida), Spain
15 days ago
Apply on www.buscojobs.com.es
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Role details

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

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure BigQuery Cloud Computing Information Technology Consulting Data Architecture Dataspaces Data Systems Data Warehousing DataOps
+7 more
Systems Integration Large Language Models Snowflake Generative AI Microsoft Fabric Machine Learning Operations Databricks

Job description

We are looking for aData Engineerwho enjoys transforming business needs into innovative solutions, leading high-impact proposals, and becoming a key technical reference within a constantly evolving team.We are looking for someone who can design, validate, build, and support solutions from concept through to implementation.What will your mission be?You will lead the design of data solutions for top-tier clients, transforming complex challenges into robust, scalable, and innovative solutions.You will work closely with clients, partners, and delivery teams to ensure that every solution delivers genuine business value.What will you do?Architecture Design & Pre-Sales:Translate client challenges into cutting-edge data architectures that are cost-effective, secure, and scalable, helping to win key tenders and projects.Storytelling & Solution Presentation:Turn technical solutions into compelling business narratives. You will lead technical presentations to clients, demonstrating technical feasibility to technical stakeholders while communicating ROI and business value to decision-makers.Advisory & Strategic Hands-on Work:Act as a senior-level consultant on key projects, including client architecture assessments, technical consulting, and the agile development of Proofs of Concept (PoCs) to demonstrate the value and business impact of technology.Bridge to Production:Act as the link between”what is sold” and “what is built.”You will support production and delivery teams during the initial stages of projects to ensure that your technical vision is successfully implemented.Innovation Radar:Explore and test the latest tools and approaches, including GenAI, open formats, and new Modern Data Stack features, helping us maintain our competitive edge.What Are We Looking For?4+ years of experience as aData Engineer, Data Architect, or in a similar role.Strong knowledge ofAWS, Azure, or GCP.Strong experience with technologies such asDatabricks, Snowflake, Microsoft Fabric, BigQuery, or dbt.Experience applyingDataOps best practices.Fluent English and native or bilingual Spanish.Highly valuedExperience in pre-sales, technology consulting, or client-facing roles.Cloud or Data ecosystem certifications.Experience withGenerative AI, RAG, LLMs, Vector Databases, or LLMOps.Knowledge of modern web architectures and end-to?end integrations.What Are You Like?We would love to meet you if you:Enjoy communicating with both technical and executive stakeholders.Have a strategic mindset and strong business orientation.Can turn complex problems into simple, effective solutions.Are curious, proactive, and always eager to learn.Approach new challenges with initiative and adaptability.Why Join Us?Because you will be part of a team where innovation is not just a buzzword - it is how we work.You will have the opportunity to participate in strategic projects, explore some of the most cutting?edge technologies on the market, and contribute directly to the evolution of our clients’ data strategies.We also offer:Training and certificationsAnnual performance evaluations with salary reviewsFlexible benefits packageCandidate Requirements4+ years of experience as a Data Engineer, Data Architect, or in a similar role.Strong knowledge of AWS, Azure, or GCP.Strong experience with technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, or dbt.Fluent English and native or bilingual Spanish.Experience applying DataOps best practices.#J-*****-Ljbffr

Requirements

DataOps best practices . Fluent English and native or bilingual Spanish. Highly valued Experience in pre-sales, technology consulting, or client-facing roles. Cloud or Data ecosystem certifications. Experience with Generative AI, RAG, LLMs, Vector Databases, or LLMOps, 4+ years of experience as a Data Engineer, Data Architect, or in a similar role. Strong knowledge of AWS, Azure, or GCP. Strong experience with technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, or dbt. Fluent English and native or bilingual Spanish. Experience applying DataOps best practices. #J-*****-Ljbffr

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