{"id":3589134,"url":"https://alion.io/job/banco-plata-engineering-manager-python-dwh-data-tools","title":"Engineering Manager - Python [DWH Data Tools]","company":{"id":705203,"name":"Banco Plata","domain":"bancoplata.mx","url":"https://alion.io/company/banco-plata","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":258000,"period":"year","method":"global_role_seniority_cell","sample_n":2356},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Superset","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-01T12:02:51Z","employer_posted_date":null,"last_verified_at":"2026-11-01T12:02:51Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"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.\nThis 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.\nChallenges that await you:\nPeople Management: Lead, mentor, and manage a team of engineers. Take ownership of their performance, regular 1-on-1s, and continuous professional development\n\nProduct 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 designs\n\nPlanning & Execution: Drive planning activities for the team. Create and manage development plans, adeptly handling flexible deadlines and shifting business priorities\n\nService 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\n\nArchitecture & 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 requirements\n\nStakeholder Communication: Manage communication with data engineers, analysts, and other stakeholders to ensure seamless data integration and tool usability\n\nWhat makes you a great fit:\n1+ years of experience managing engineering teams in fast-paced settings, preferably fintech with Python or Go stack\n\nHiring, development, performance, and delivery management and strong skills in cross-functional collaboration and the ability to build partnerships\n\nStrong technical expertise in designing, deploying, and managing data tools (e.g., BI platforms, data notebooks, or data catalogs)\n\nProven ability to manage flexible planning, balancing dynamic priorities and deadlines\n\nExcellent communication and collaboration skills, with the ability to partner effectively across teams and regions\n\nAn adaptable, structured mindset — able to prioritize effectively and stay grounded amid ambiguity and change\n\nB1 or higher English level for effective communication with an international team\n\nYour bonus skills:\nExperience implementing or maintaining services alongside SRE processes\n\nWork experience in DWH and/or the banking/fintech sphere\n\nFamiliarity with the technical stacks or internals of Superset, Jupyter Hub, or DataHub\n\nExperience with data integration frameworks (e.g., Apache Kafka)\n\nKnowledge of ETL tools (e.g., Airflow, DBT)\n\nExperience with Kubernetes\n\nExperience with Snowflake or Lake House architectures\n\nOur ways of working:\n\nInnovative Spirit: A commitment to creativity and groundbreaking solutions\n\nHonest Feedback: valuing open, transparent communication\n\nSupportive Team: a strong, collaborative community\n\nCelebrating Achievements: recognizing our wins together\n\nHigh-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances\n\nOur benefits:\n\nRelocation support to one of our hubs — Cyprus, Serbia, Spain or Georgia — with assistance for the employee and their family\n\nFlexible work from one of our offices or remote\n\nHealthcareCoverage\n\nEducation Budget: Language lessons, professional training and certifications\n\nWellness Budget: Mental health and fitness activity reimbursements\n\nVacation policy: 20 days of annual leave and paid sick leave\n\nOriginally posted on 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