Team Leader, Data & AI, Data Financial Insights

Job not on LinkedIn

🔥 0 minutes ago

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

💸 Financial Planning and Analysis (FP&A)

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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eMAG

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2001

🛍️ eCommerce

🏪 Marketplace

eCommerce • Marketplace

eMAG is the commercial name of S. C. DANTE INTERNATIONAL S. A. , a Romanian company headquartered in Bucharest. eMAG operates as a leading e-commerce platform and online marketplace in Romania and the region, offering a broad range of products and services through its website and mobile apps. The provided text is from eMAG’s careers and privacy pages, highlighting rapid growth, frequent hiring, a focus on innovation and high-performance teams, and detailed data protection and recruitment policies.

📋 Description

• Own data modeling for finance, vouchers, and product data, including dimensional models, star schemas, slowly changing dimensions, revenue recognition, and reconciliations • Define data product architecture using the bronze, silver, and gold medallion framework • Ensure standards for code, testing, documentation, and CI/CD in dbt, Airflow, and Git • Maintain data discoverability and ownership in DataHub and usability in Tableau and other channels • Lead migrations from legacy pipelines and tools to the modern data stack • Review designs and merge requests and build or optimize pipelines • Manage, coach, and develop five engineers through goal setting, feedback, and career growth • Handle conflicts, run planning, retrospectives, and 1:1s, and support hiring and onboarding • Plan the roadmap with the Product Owner and balance development, maintenance, and technical debt • Collaborate with data domain teams, business analysts, DataOps, Data Platform, and AI • Keep delivery on track under strict deadlines and communicate risks early • Own data quality and reliability, including SLAs, monitoring, incident response, and post-mortems

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science or a related field • Minimum 5 years of experience in data engineering, including leading or mentoring engineers • Proven data modeling skills: dimensional modeling, facts, dimensions, star schema, grain, keys, history (SCD), late-arriving data, and corrections • Strong hands-on SQL and Python / PySpark, including performance optimization • Good knowledge of medallion architecture and modern data warehouse / lakehouse practices • Experience with legacy systems and migration projects • Knowledge of code review, testing, documentation, and CI/CD best practices • Proficient English, written and spoken • Optional: dbt, Airflow, Impala, finance or e-commerce/retail data, DataHub or similar catalogs, data quality frameworks, observability, dashboards or semantic layers, cloud platforms, and cloud migrations

🏖️ Benefits

• Medical subscription: Medicover or Regina Maria • Flexible budget for meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme & Genius, gym memberships, and professional development classes • Discounts from banking, mobile, dental medicine, and wellness partners • Access to the Bookster library • Free credits on the Hilio psycho-emotional health platform • Access to over 100,000 curated online resources and platforms, learning academies, and development programs • New headquarters with an energizing and comfortable environment for hybrid work

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