Senior Data Engineer

Job not on LinkedIn

🕒 January 21

🌏 Anywhere in the World

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 55%

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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Trust Wallet

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

₿ Crypto

🌐 Web 3

Crypto • Web 3

Trust Wallet is the world's leading self-custody wallet trusted by over 150+ million users. It provides an easy-to-use platform for people who want to fully own, control, and leverage the power of their digital assets. From beginners to experienced users, Trust Wallet makes it easier, safer, and more convenient for millions to experience Web3, store and manage their crypto and NFTs, buy, sell, stake crypto for rewards, and access dApps securely—all in one place. With support for over 10 million digital assets across 100+ blockchains, Trust Wallet is a true multi-chain wallet.

📋 Description

• Architect and maintain robust, scalable and secure Databricks data infrastructure for streaming and batch workloads • Design, develop and maintain Python and Spark data pipelines for ingestion and transformation across internal systems, external providers and on-chain sources • Design and maintain dimensional data models and dbt transformation layers with tests and documented contracts • Oversee data lake and lakehouse layers, including storage, partitioning, data quality, monitoring and alerting • Integrate Databricks with operational databases, third-party APIs and blockchain data sources • Optimize pipelines and storage for performance, reliability and cost efficiency at scale • Apply governance, security and compliance best practices, including access control, encryption and monitoring • Collaborate with platform engineers, data analysts and stakeholders on data requirements • Document infrastructure, models and best practices

🎯 Requirements

• 3+ years as a Data Engineer (36 months), with hands-on ownership of production pipelines and lakehouse or data warehouse architecture • Strong practical experience with Databricks, Delta Lake and Spark, including streaming and batch processing • Understanding of dimensional modelling, slowly changing dimensions and data warehouse design • Experience with dbt or an equivalent transformation framework for transformations, testing and lineage • Strong cloud fundamentals, including identity and access management, object storage, networking and infrastructure as code • Experience with AWS; Azure or GCP experience transfers well • Proficiency in Python and SQL • Experience implementing testing, monitoring and governance practices in cloud data environments • Right to work in the country where based • No visa sponsorship available

🏖️ Benefits

• Excellent learning and career development opportunities • Work alongside diverse, world-class talent • Fast-paced, challenging and unique projects • International teams and a flat organizational structure • Fully remote work with flexible working hours • Competitive salary and benefits • Equal opportunity employer