We are looking for aSenior Data Engineerto join a growing internationalData Engineering teaminViladecans, Barcelona .In this role, you will work on the design, development, and evolution ofscalable data solutions, collaborating closely with Data Engineers, business stakeholders, and other technical teams.You will combine stronghands-on technical expertisewith a high level of autonomy, contributing to data engineering best practices, data quality, and the continuous improvement of the organisation's data environment.If you enjoy working withcloud technologies, modern data platforms, and high-impact data solutions, this could be your next challenge.What you'll doDesign, develop, and maintain scalable and high-performance data pipelines.Develop and optimise data solutions using technologies such asAWS, Airflow, DBT, Snowflake, ClickHouse, and S3 .Build and maintain robust ETL/ELT pipelines, ensuring data reliability, scalability, and performance.Work on data modelling, transformation, and performance tuning across different data environments.Collaborate with stakeholders and technical teams to understand business needs and translate them intoeffective data solutions .Contribute todata quality, governance, and securitypractices.Follow and contribute to best practices aroundGitHub, version control, CI/CD, testing, and code quality .Participate inAgile ceremonies, sprint planning, and backlog discussionsusing JIRA.Contribute to the continuous improvement of the team'sData Engineering practices, architecture, and processes .Stay hands-on with the technology while sharing knowledge and supporting other team members when needed.5+ years of experience in Data Engineering, with a strong hands-on technical background.Strong expertise in AWS, including S3, Lambda, and Redshift or equivalent technologies.Hands-on experience withAirflow, DBT, and Docker, together withSnowflake, ClickHouse, or similar technologies .Strong experience developingETL/ELT pipelines, data modelling,



and performance tuning .StrongSQL and Pythonskills for Data Engineering tasks.Experience working withAgile methodologiesandJIRA .Good knowledge of GitHub workflows, branching strategies, CI/CD, and software engineering best practices.Strongproblem-solving and analytical skills, with the ability to work independently on complex data engineering challenges.Goodcommunication and stakeholder management skills, with the ability to understand business requirements and translate them into technical solutions.Experience contributing todata quality, governance, and security frameworks .Experience working in large-scale, international, or fast-growingData Engineering environments .Experience with moderncloud-based data platforms and engineering practices .Experience working withdata products, self-service analytics, or data discoverability .Hybrid model - 2 days on site per weekWhy join this project?People first – diverse and inclusive culture in aninternational environment .Work on high-impact Data & Insights initiatives acrossbusiness performance ,operations ,finance, andcommercial domains .Help shape how data supports strategic decision-making across alarge international organisation .Explore the evolution ofAI-driven analytics ,productivity tools, anddata discoverability .Contribute toself-service analytics ,data products, andscalable reporting practices .Work closely withbusinessandsenior stakeholders, turningcomplex dataintomeaningful insights .High team stabilityandcollaborative culture .€1200 per yeartraining budgetandcontinuous learning opportunities .Private health insuranceandbenefits package .Flexible working hoursandhybrid model .Wellhub : fitness, wellness, and mental health support.Football and paddle tennis teams sponsored byCapitole .Team buildings ,general events, andstrong tech communities .We know that not every candidate will meet 100% of the requirements. If your profile doesn’t match perfectly but you believe you can add value, we’d still love to hear from you.Information Security NoticeThe employee will have access to confidential information related to Capitole and the assigned project.Compliance with internal security and information protection policies is mandatory.#J-18808-Ljbffr

📌 Senior Data Engineer (Madrid)
🏢 Capitole
📍 Madrid