Senior Engineer, Data Engineering

hace 3 días


Madrid, España intro A tiempo completo

Overview A global leader in FinTech is looking for experienced Senior Data Engineers to join them. This is an opportunity to work on cutting edge data driven solutions as part of a collaborative, distributed team. If you're a skilled Data Engineer with a passion for designing high quality systems and mentoring others, this could be the perfect role for you. What You'll Be Doing Designing, developing, and optimising scalable ETL/ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, and file based endpoints. Building and maintaining a robust Data Platform using tools like Airflow , dbt , and GCP services such as Cloud Functions, Cloud Run, and BigQuery. Collaborating with product and engineering teams to design data models and workflows that drive decision making and analytics across the company. Mentoring junior team members and championing best practices in data engineering, including code reviews, testing, and pipeline orchestration. Tackling technical debt by modernising outdated code and improving efficiency within the data stack. Implementing data governance policies, including standards for data quality, access controls, and classification. What They're Looking For Extensive experience in Data Engineering or analytics engineering, with a track record of building and optimising complex pipelines in big data environments. Proficiency in Python and SQL for data transformation and manipulation. Strong knowledge of modern data stack tools, including Airflow , dbt , and cloud platforms like GCP or AWS . Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Clear and concise communication skills in English , with the ability to work effectively as part of a global, distributed team. Experience delivering data solutions using software engineering principles, including version control (GitHub), CI/CD pipelines, and containerisation (Docker). A proactive approach to problem-solving, with the ability to identify optimisation opportunities and drive continuous improvement. Prior experience in Financial Services or a similar industry. Experience with additional tools like Looker , MonteCarlo , or Hevodata . Why Join This Team? Be part of a company that's leading innovation in FinTech, with ambitious plans for 2026 and beyond. Shape a brand new Engineering team and contribute to building a cutting edge Data Platform. Join an organisation that prioritises diversity, inclusion, and equity, fostering a supportive workplace culture. Work on high impact projects with the latest technologies in data and analytics. #J-18808-Ljbffr



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