Data Engineer

Job not on LinkedIn

🔥 4 minutes ago

🌐 Kazakhstan, Georgia, +1 more countries – Remote

🇰🇿 Kazakhstan – Remote 🇬🇪 Georgia – Remote 🇦🇪 United Arab Emirates (UAE) – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EXANTE

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

💳 Fintech

💸 Finance

🤝 B2B

Fintech • Finance • B2B

EXANTE is a global prime broker and fintech firm founded in 2011 that provides direct access to over 2 million financial instruments across 50+ markets through a proprietary, customizable trading platform (desktop, web, mobile) with API and white-label options. It serves institutional and professional clients — banks, brokerages, asset managers, family offices, and professional traders — offering trade execution, custody arrangements, regulatory coverage, and dedicated relationship and post-trade support.

📋 Description

• Develop and maintain reliable, scalable data models, transformations and pipelines across BigQuery and dbt • Integrate data from databases, APIs, file feeds and external providers • Translate reporting needs into accurate, well-tested and documented datasets • Implement validation, checks and monitoring to identify data problems early • Ensure daily data is delivered correctly and on schedule • Drive development work forward in the GCP, dbt and Power BI stack • Report to the Head of Data Warehouse

🎯 Requirements

• In-depth knowledge of SQL — confident writing and debugging complex queries and understanding underlying data • Substantial experience working in a production environment with ELT pipelines, data integration and data modelling • Deep understanding of data quality assurance principles and data warehouse design • Reliability and independence in resolving data-related issues and seeing tasks through to completion • Experience with designing and building data models in dbt (nice to have) • Comfortable using Python to move and integrate data across GCP services (nice to have) • Practical experience querying and working in BigQuery or a comparable cloud warehouse (nice to have) • Solid grasp of star-schema design and semantic modelling for Power BI (nice to have) • Confidence with version control and CI/CD workflows; GitLab a plus (nice to have) • Background working with brokerage, banking, asset-management, payments or fintech data (nice to have)

🏖️ Benefits

• Competitive salary that reflects your experience and the value you bring • Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. • Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle. • A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. • Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. • Connection beyond your desk — events that bring our teams together to network and celebrate. • Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries.