Data Engineer

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    "departmentLabel": "Code for All - Produto",
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    "datePosted": "2026-02-10",
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    "description": "<p><span style=\"font-weight: bold\">About us ℹ️</span><br></p>\n<p><br></p>\n<p>Code For All_ Group is a leading EdTech consortium that unites three innovative companies: codeforall.com, ubbu.io, and bool.pt .<br>Code for All Group is a certified B Corp and has been widely recognized for its innovation, social impact, and commitment to sustainability.<br>Code for All's mission is to make tech education accessible through reskilling, upskilling and corporate training programs. ubbu teaches programming to children aged 6-12, integrating digital literacy with social responsibility. Bool develops tailored software solutions using low-code and open source technologies. We are committed to empowering individuals and businesses in a digital world.<br>In 2024, Code for All_ has received the National Innovation Award for it’s AI powered platform MIT, as well as the Prémio Heróis PME - Medium Enterprise Category, recognizing its impact and growth. Ubbu is finalist in the Lisboa Innovation for All - Social Impact Challenge and won multiple awards, including the WSA Portugal Award in the Learning &amp; Education category, the Digital with Purpose recognition, and the Digital SME Skills category award.</p>\n<p><br><span style=\"font-weight: bold\">Job Description 💼<br></span></p>\n<p><br></p>\n<p>You’ll be part of our Tech Team, reporting directly to the CTO. Together, we’ll build a thriving culture, enhance employee well-being, and ensure everyone feels truly valued.</p>\n<p>We’re looking for a mid-level Data Engineer to help us turn data into something reliable, usable and impactful across the organisation.</p>\n<p>In this role, you’ll work on building and improving data pipelines, preparing high-quality datasets, and developing analytics and machine learning use cases.</p>\n<p>You’ll collaborate closely with both technical and non-technical teams, helping enable better data-informed decisions and applied ML initiatives.</p>\n<p>This is a hands-on role, ideal for someone who enjoys working close to the business and delivering practical data solutions.</p>\n<p><br><span style=\"font-weight: bold\">Who This Role Is For:</span><br>- Data professionals with a business or analytics-oriented background</p>\n<p>- People who value impact and pragmatism over large-scale infrastructure</p>\n<p><br><span style=\"font-weight: bold\">Your Responsibilities 💪<br></span><br>1) Build and maintain data pipelines for analytics and ML use cases<br>2) Prepare, clean, and structure datasets for analysis and model training<br>3) Participate in the development and training of machine learning models through well-prepared data<br>4) Improve data quality, documentation, and accessibility<br>5) Work with stakeholders to translate questions into data solutions</p>\n<p><br><span style=\"font-weight: bold\">About you 👈<br></span><br>- Previous experience in data engineering and analytics engineering roles.<br>- Strong working knowledge of Python and SQL<br>- Experience with ETL/ELT pipelines<br>- Familiarity with analytics and ML data workflows<br>- You are committed to providing a great employee experience;<br>- Excellent communication and teamwork skills;<br>- Proficient in both Portuguese and English.<br><br>Nice to have: <br>- Exposure to ML in production<br>- Experience with cloud data platforms and/or BI tools</p>\n<p><br><span style=\"font-weight: bold\">Benefits &amp; Perks 🌟<br></span><br>✨ Health Insurance 💙 because your well-being matters.<br>🍽️ Meal Allowance (as per company policy).<br>💪 Urban Sports Club Subscription – stay active and energized!<br>🎂 Extra vacation days (your birthday + an extra one during Christmas week!).<br>🌍 Hybrid work &amp; flexibility – because we value work-life balance.<br>🚀 A collaborative, innovative culture where your ideas matter.</p>\n<p><br><span style=\"font-weight: bold\">Application Process ⚙️<br></span><br>Our hiring process is quick and transparent – we respect your time! 🕒<br>1) Apply online (CV &amp; questionnaire).<br>2) HR screening. <br>3)DISC test + (if needed) short case study/interview.<br>4) Interview with CTO &amp; BizOps. <br>5) Final interview (if needed).<br>6) 🎉 Welcome to the team!</p>",
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