Senior Data Engineer

Senior Data Engineer If you’re ready to architect scalable AWS data pipelines, ensure data quality and governance, and collaborate to drive business impact, join Alkemy as Senior Data Engineer. Send application Who are we? We are part of the Alkemy Group, specializing in driving growth through our technological expertise, tackling complex challenges, and fostering operational excellence. We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation. We are passionate about technology challenges that have a significant impact on business. To address these, we have high-performance teams and the ability to quickly and effectively combine technologies. We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi-sector experience. We invite you to get to know us in depth by exploring the various sections of our website. What will you do? You will lead the design, development, and maintenance of scalable and efficient data pipelines in AWS. Your work will be essential to ensure the availability, quality, and governance of the data that drives our strategic decisions. Specifically, you will: Design and implement data architectures using AWS services such as S3, Glue, Redshift, EMR, Lambda, Athena , among others. Build and maintain robust, automated ETL/ELT pipelines. Integrate data from multiple sources (APIs, databases, files, etc.), ensuring its quality and traceability. Collaborate with Data Science, BI, and Product teams to understand data needs and deliver technical solutions. Optimize performance of data ingestion and transformation processes. Apply best practices for data security, governance, and regulatory compliance. Document processes and uphold high development standards. What do we value? Essential: Minimum of 5 years of experience as a Data Engineer , with a strong focus on AWS or Azure . Proficiency in programming languages such as Python and SQL . Hands-on experience with Databricks (Apache Spark) for large-scale data processing, ETL/ELT pipelines, and data preparation for analytics and machine learning. Experience with orchestration tools like Apache Airflow or AWS Step Functions . Solid understanding of data modeling , data lakes , and data warehouses . Experience with data governance and metadata management tools , such as Microsoft Purview , including data cataloging, lineage, and data classification. Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation . Familiarity with Agile methodologies and DevOps practices . Strong technical English skills. Nice to Have: Official AWS certifications (e.g., Data Analytics, Solutions Architect, etc.). Experience with streaming tools such as Kinesis or Kafka . Knowledge of Big Data technologies like Spark or Hadoop . Experience working in multi-cloud or hybrid cloud environments. If you are someone who likes to stay updated on the latest trends, is eager to try new technologies , and enjoys finding alternative ways to do things, this is the place for you. If you consider yourself a team player who advocates for Fair Play above all... a team is waiting for you! What do we offer you? In this company, you can be yourself and work with colleagues equally passionate about technology and innovation, ready to support you at all times. We want to see you evolve and grow with us. To that end, we invest in your professional development with training, tech breakfasts, and attendance at forums. We are advocates of continuous learning , which is why we provide a personal budget for staying up to date with market trends. We care about well-being and happiness at work , which is why we listen to needs to offer the best working conditions in a unique human environment. Due to the emphasis we place on flexibility and work-life balance , we won the Madrid Flexible Company Award in 2020 and received an honorable mention in 2022. This is a WIN-WIN , and we have 42 benefits to offer you, but here are some highlights: 💡 Professional Training & Certifications ⏰ Flexible hours 👏 Special timetable: Fridays and summer 7h. 🩺 Health insurance 🏖️ Every three years, 6 extra days off. 🎁 Day off on your birthday 🗣️ Bring a friend and benefit from it 🥳 Flexible compensation 🧘‍♂️ Wellness - Gympass 🌳 Volunteering opportunities 🎊 Company events and team buildings To learn more about us, the protagonists of INNOCV will share more about the company. If you identify with our work philosophy and share our passion for INNOvation and Code Vocation, we want to meet you! Loyal to our commitment with diversity and inclusion, we encourage everybody to apply, especially those belonging to underrepresented groups such as LGTBIQ+ members and those with disabilities. Department Data Role Data Engineer Locations Madrid Owner Beatriz