We are looking for an experienced and driven Engineering Manager to manage our DWH Data Tools team . This team is responsible for managing and evolving our critical data ecosystem tools, including Superset, Jupyter Hub, and DataHub, while also developing new, in-house solutions - including internal BI and data-exploration tools - to fit specific business needs. This role merges technical leadership with comprehensive team management. The ideal candidate will possess strong leadership skills and technical expertise across the team's stack - Python, plus Node.js and Go - along with a proven track record managing engineering teams and data platforms. You will be pivotal in planning, optimizing development processes, and translating product ideas into robust technical solutions that solve real user pain points - often while navigating shifting priorities and evolving business needs.Challenges that await you: People Management: Lead, mentor, and manage a team of engineers. Take ownership of their performance, regular 1-on-1s, and continuous professional developmentProduct Collaboration & Solution Brainstorming: Collaborate closely with product stakeholders to understand user pain points. Lead the brainstorming of technical solutions and translate product vision into actionable designsPlanning & Execution: Drive planning activities for the team. Create and manage development plans, adeptly handling flexible deadlines and shifting business prioritiesService Maintenance: Oversee service maintenance in strict alignment with SRE processes, taking responsibility for the reliability, stability, and incident control of the tools within the DWH Architecture & Development: Oversee the architecture, design, and implementation of data tools (Superset, Jupyter Hub, DataHub) and lead the development of custom solutions to meet new business requirementsStakeholder Communication: Manage communication with data engineers, analysts,



and other stakeholders to ensure seamless data integration and tool usabilityWhat makes you a great fit: 1+ years of experience managing engineering teams in fast-paced settings, preferably fintech with Python or Go stack Hiring, development, performance, and delivery management and strong skills in cross-functional collaboration and the ability to build partnershipsStrong technical expertise in designing, deploying, and managing data tools (e.g., BI platforms, data notebooks, or data catalogs)Proven ability to manage versátil planning, balancing dynamic priorities and deadlinesExcellent communication and collaboration skills, with the ability to partner effectively across teams and regionsAn adaptable, structured mindset - able to prioritize effectively and stay grounded amid ambiguity and changeB1 or higher English level for effective communication with an international teamYour bonus skills: Experience implementing or maintaining services alongside SRE processesWork experience in DWH and/or the banking/fintech sphereFamiliarity with the technical stacks or internals of Superset, Jupyter Hub, or DataHubExperience with data integration frameworks (e.g., Apache Kafka)Knowledge of ETL tools (e.g., Airflow, DBT)Experience with KubernetesExperience with Snowflake or Lake House architecturesOur ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutionsHonest Feedback: valuing open, transparent communicationSupportive Team: a strong, collaborative communityCelebrating Achievements: recognizing our wins togetherHigh-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent financesOur benefits: Relocation support to one of our hubs - Cyprus, Serbia, Spain or Georgia - with assistance for the employee and their familyFlexible work from one of our offices or remoteHealthcare CoverageEducation Budget: Language lessons, professional training and certificationsWellness Budget: Mental health and fitness activity reimbursementsVacation policy: 20 days of annual leave and paid sick leave#J-18808-Ljbffr

📌 Engineering Manager - Python [DWH Data Tools] (Málaga)
🏢 Banco Plata, S.A., Institución de Banca Múltiple
📍 Málaga