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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (Snowflake) - **Company:** Keyrus (alcobendas, España) Seguir - **Location:** Alcobendas, Spain (Remote available) - **Salary:** €45,000.0 - €50,000.0 - **Contract:** Contract - **Skills:** LTE (Telecommunication), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Computer Programming, Databases, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Migration, Data Security, Data Systems, Data Warehousing, Relational Databases, DevOps, Apache Hadoop, Apache Hive, Python (Programming Language), KNIME, Performance Tuning, Cloud Services, Software Engineering, SQL Databases, Talend, Google Cloud, Data Ingestion, Azure Data Factory, Informatica Powercenter, Delivery Pipeline, Snowflake, Apache Spark, Information Technology, Apache Flink, Apache Nifi, Data Management, Cloud Migration, Virtual Agents, Dataiku, Data Pipelines, Alteryx, Databricks - **Published:** September 15, 2026 - **Apply:** https://www.recruit.net/job/data-engineer-snowflake-jobs/2EB7FFE20AB82C86 ## About the Role * You are curious, analytical, and motivated by solving complex data engineering challenges. * You enjoy transforming legacy environments into modern, scalable cloud data platforms. * You combine strong technical expertise with a practical understanding of business objectives. * You are comfortable working in collaborative and international environments. * You thrive when designing efficient, repeatable, and industrialised data processes. * You take ownership of technical initiatives and drive them through to successful delivery. * You enjoy investigating performance bottlenecks and identifying opportunities for optimisation. * You communicate clearly and effectively with both technical and business stakeholders. * You are comfortable working in French and English within an international project environment., * Relevant academic background in Computer Science, Data Engineering, Software Engineering, or equivalent professional experience. * 6+ years of experience as a Data Engineer or in a similar role. * Proven experience delivering data migration programmes, ideally within Lift & Shift initiatives. * Strong experience working with modern data warehousing and data platform technologies. * Experience collaborating with multidisciplinary teams and stakeholders. * Professional proficiency in English. * Professional proficiency in French. * Must be a Portuguese or European citizen or have a work permit for Portugal Technical & Professional Skills * Strong expertise with Snowflake (data modelling, optimisation, performance tuning, security). * Hands-on experience with Dataiku or equivalent tools (Alteryx, Talend, Azure Data Factory, Informatica, Knime, Apache NiFi). * Strong experience with: Hadoop; Hive; Legacy-to-cloud migration projects * Proficiency in: + SQL + Relational databases + Analytical databases * Proficiency in big data frameworks such as Apache Spark, or alternatives (Databricks, Flink, Beam). * Strong analytical and problem-solving skills, with the ability to design scalable and maintainable data solutions. Nice to Have * Experience with AWS, Azure, or Google Cloud Platform (GCP). * Programming experience with Python or Scala. * Knowledge of CI/CD pipelines and DevOps practices for data engineering. * Understanding of Data Governance, Data Quality, and Data Security best practices. * Experience working in consulting or client-facing environments. * Exposure to international projects and multicultural teams. What Makes You Successful * You focus on delivering reliable, scalable, and business-ready data solutions. * You approach migration challenges with both technical rigor and pragmatism. * You think beyond individual pipelines and contribute to the long-term evolution of data platforms. * You are passionate about automation, standardisation, and engineering efficiency. * You communicate complex technical concepts in a clear and accessible way. * You proactively identify performance improvements and optimisation opportunities. * You contribute to collective intelligence by sharing knowledge and supporting others. * You combine autonomy with collaboration and thrive in cross-functional environments. * You continuously seek opportunities to improve platform performance, data quality, and engineering standards. ## Description Gain full access to exclusive job listings from leading companies worldwide. * Verified, High-Quality Jobs Only No ads, scams, or junk-just genuine opportunities. * Focus on Real Opportunities Explore thousands of open positions tailored to your lifestyle, including flexible remote jobs. * Exclusive Resume Review Receive expert feedback with personalized suggestions to enhance your resume., This role is both technical and consultative, perfect for someone who can combine data engineering expertise, large-scale migration delivery, and modern cloud data platform design. We're looking for professionals who think like architects and act like builders., * Lead the migration of data workflows from Hadoop/Hive environments into Snowflake. * Design and implement a scalable Migration Factory to industrialise and automate migration processes. * Develop and optimise Dataiku workflows supporting data ingestion, transformation, orchestration, and automation. * Design and maintain robust ETL/ELT pipelines to improve scalability, reliability, and operational efficiency. * Analyse existing data solutions and identify opportunities for optimisation and performance improvement. * Implement scalable and high-performing Snowflake architectures, ensuring security, governance, and operational excellence. * Collaborate with Data Architects, Business Analysts, and stakeholders to translate business requirements into technical solutions. * Contribute to documentation, knowledge transfer, and engineering best practices across projects., At Keyrus, salary ranges reflect different levels of mastery and impact within the same role - not different job titles. * Bottom of the range You meet the core requirements and will need ramp-up time and support. * Middle of the range You are fully autonomous from Day 1 and deliver consistently. * Top of the range You are a reference for the role, mentor others, and raise the bar for the team. Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process. Responsible AI & Recruitment At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers. To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions. To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited. Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate's own skills, experience, judgment, and expertise. Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Your next 10x engineer isn't in your city. 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