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# Data Engineer & Training Lead

- **Company:** Nimbus Intelligence
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Amazon Web Services, Microsoft Azure, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Vault Modeling, Data Warehousing, Python (Programming Language), Performance Tuning, DataOps, SQL Databases, Google Cloud, Snowflake, Apache Spark, Git, Data Lakes, Software Version Control, Data Pipelines, Alteryx, Databricks
- **Published:** August 12, 2026
- **Apply:** https://es.trabajo.org/oferta-4112-d91765b1673e1c26adbf8d02474c6b6b

## About the Role

Who are we looking for? Are you an expert in the world of data engineering with strong knowledge of Databricks, Snowflake, and dbt, and do you have a passion for sharing your expertise with other professionals? Do you have the ambition to lead complex data engineering projects, support the growth of junior talent, and contribute to business development through pre-sales activities? Then you are the person we are looking for What will you do? As a Senior Data Engineer & Training Lead, you will have a hybrid and strategic role within Nimbus Intelligence, with responsibilities ranging from technical consulting to training and commercial support. Specifically, you will be responsible for: Pre-Sales and Consulting * Supporting the commercial team in the pre-sales phase by analyzing client needs and proposing innovative technical solutions based on modern data platforms (Databricks, Snowflake) and scalable architectures. * Participating in meetings with prospects and clients as a senior, knowledge-sharing sessions to keep the team up-to-date on the latest technological developments. * Contributing to the growth of Nimbus Intelligence's brand awareness through events, webinars, and technical content. Recruitment and Talent Development * Participating in the recruitment process for new data engineers, creating technical assessments, and conducting interviews. * Contributing to the definition of professional growth paths for the team. What do we expect from you? Technical Skills * Proven experience and strong knowledge in the field of data engineering. * Excellent knowledge of Databricks (lakehouse architecture, Delta Lake, Spark, Unity Catalog, Databricks SQL). * Excellent knowledge of Snowflake (data modeling, optimization, performance tuning, Snowpipe, Stream & Tasks). * Strong experience with dbt (data modeling, testing, documentation, orchestration). * Proven expertise in Python and SQL. * Experience in implementing modern data platforms and
architectures (medallion architecture, data mesh, data vault, etc.). * Knowledge of ETL/ELT tools (Matillion, Alteryx, or similar) and cloud platforms (Azure, AWS, GCP). * Familiarity with DataOps practices, CI/CD for data pipelines, and code versioning (Git). * Experience with data quality, data observability, and governance. Professional Experience * At least 5 years of experience in data engineering roles. * Proven experience in consulting environments, with the ability to understand client needs and translate them into technical solutions. * Experience in designing and optimizing data warehouses, data lakes, and complex pipelines on Databricks and/or Snowflake. * A track record of success in training and transferring technical knowledge. Soft Skills * Excellent communication and presentation skills, with clients and stakeholders at different levels. * Mentoring attitude and passion for the growth of junior colleagues. * Entrepreneurial mindset

## Description

technical consultant, demonstrating the value proposition of our solutions. * Contributing to the definition of technical proposals, architectures, and project estimates. Delivery and Mentorship * Acting as a senior consultant on the most complex data engineering projects, ensuring technical quality and excellence in implementation. * Serving as a reference point and mentor for junior data engineers, guiding them in solving technical challenges and developing their skills. * Conducting code reviews, defining best practices, and ensuring the adoption of high-quality standards. * Supporting the international team across different locations, sharing expertise and best practices. Training and Academy * Designing and updating the training program for Nimbus Academy for data engineers, with a focus on Databricks, Snowflake, dbt, and complementary technologies. * Teaching and training trainee groups in Italy, Spain, and other countries within the Nimbus group. * Organizing


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