Data Engineer

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    "datePosted": "2024-12-06",
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    "description": "<p><span style=\"font-size: 12pt\"><span>Billigence is</span><span> a </span><span>Business Intelligence, Data Analytics &amp; AI consultancy with a global reach bringing insights to our customers and delivering the best business outcomes using data. We provide professional services in areas including <span style=\"font-size: 12pt\">Data</span> Governance, Cloud </span><span>A</span><span>rchitecture, Data Engineering, Data Insights, and more. Our mission is to transform the way people work with data.  </span></span><span style=\"font-size: 12pt\"> </span></p>\n<p><span> </span></p>\n<p><span>Get to know us better at </span><span>our </span><a href=\"https://www.linkedin.com/company/billigence-czech-republic/posts/?feedView=all\" target=\"_blank\" rel=\"noopener noreferrer\"><span>LinkedIn</span></a><span>, </span><a href=\"https://www.cocuma.co/company/billigence/\" target=\"_blank\" rel=\"noopener noreferrer\"><span>Cocuma profile</span></a><span> or </span><a href=\"https://www.instagram.com/billigence/\" target=\"_blank\" rel=\"noopener noreferrer\"><span>Instagram ⭕</span></a><span> </span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">We're growing — and data engineering is at the heart of it. We're looking for someone who knows how to build robust, scalable data pipelines and isn't afraid to get their hands dirty across the full data stack. <span style=\"font-weight: bold\">You're comfortable in Azure environments,</span> and you're ready to take on client projects across different industries — ideally with exposure to <span style=\"font-weight: bold\">Snowflake, Databricks, or Microsoft Fabric.</span></span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What will you do:</span></p>\n<p><br><br></p>\n<ul>\n<li><span style=\"font-weight: bold\">Design, build, and maintain scalable data pipelines </span>and architectures using tools like Snowflake, Databricks, and Microsoft Fabric</li>\n<li><span style=\"font-weight: bold\">Work on end-to-end data engineering projects</span> — from raw data ingestion to clean, reliable outputs ready for analytics and modelling</li>\n<li><span style=\"font-weight: bold\">Identify and implement ways to improve data reliability, efficiency, and quality</span></li>\n<li><span style=\"font-weight: bold\">Collaborate with architects, consultants, and project managers</span> — translating technical complexity into clear solutions</li>\n<li>Contribute to knowledge sharing through internal sessions, webinars, and tech talks</li>\n<li><span style=\"font-weight: bold\">Keep growing</span>: learn new tools, earn certifications, and bring that knowledge back to the team</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What we're looking for:</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-weight: bold\">2+ years of experience </span>in data engineering or a closely related role</li>\n<li><span style=\"font-weight: bold\">Strong SQL skills</span> and <span style=\"font-weight: bold\">hands-on experience with Python</span></li>\n<li>Solid experience with Azure and at least one of<span style=\"font-weight: bold\"> Snowflake, Databricks, or Microsoft Fabric</span></li>\n<li>Understanding of <span style=\"font-weight: bold\">ETL/ELT processes and data pipeline design</span></li>\n<li><span style=\"font-weight: bold\">Confident communication </span>with both technical and non-technical stakeholders</li>\n<li><span style=\"font-weight: bold\">Hands-on, proactive approach</span> — you take ownership and follow through</li>\n<li>Drive to deliver quality work that genuinely meets client needs<br></li>\n<li><span style=\"font-weight: bold\">Willingness to keep learning </span>— new tools, new certifications, new domains</li>\n<li><span style=\"font-weight: bold\">Experience with BI or visualization tools is a plus</span></li>\n<li>Business consulting background or understanding of client-facing projects is a plus<br></li>\n<li><span style=\"font-weight: bold\">Fluent Czech and English on a professional level</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What can you expect:</span><br></p>\n<p><br></p>\n<ul>\n<li><span>Work on </span><span style=\"font-weight: bold\"><span>international projects </span></span><span>using cutting-edge data tools – seriously, the best tech available  </span><span> </span></li>\n</ul>\n<ul>\n<li><span>Solid benefits package: </span><span style=\"font-weight: bold\"><span>extra 10 days of leave, Multisport card, generous annual learning budget, open bonus structure, local and international knowledge sharing sessions, and more</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span style=\"font-weight: bold\"><span>Hybrid flexibility</span></span><span> – we meet in the Prague office regularly (around 2–3 days a week), and you’re free to choose what works best for you beyond that</span><span> </span></li>\n</ul>\n<ul>\n<li><span style=\"font-weight: bold\"><span>AI-friendly by default </span></span><span>– we stay current, experiment with new tools, and treat AI as a genuine work partner</span><span> </span></li>\n</ul>\n<ul>\n<li><span style=\"font-weight: bold\"><span>Genuinely collaborative culture</span></span><span>, that actually means something: real teamwork, support, knowledge sharing, flexibility and fun </span><span> </span></li>\n</ul>\n<ul>\n<li><span style=\"font-weight: bold\"><span>Continuous learning and development</span></span><span> to keep your skills sharp </span><span> </span></li>\n</ul>\n<ul>\n<li><span>A diverse, global team of friendly data professionals, who really get along </span><span> </span></li>\n</ul>\n<ul>\n<li><span>If you're a keen sportsman, you'll find plenty of company here 🏃‍♀️</span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><em><span>By submitting your application, you confirm that you have read and understood our Data Privacy Notice for Job Applicants, available under </span><a href=\"https://info.billigence.com/hubfs/Czech%20Republic/Files/GDPR_Applicants_bilingual.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><span>this link.</span></a><span> </span></em></p>",
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