Senior Data Engineer

Methodfi; Remote; GBP 50,000 - GBP 70,000; Full time

Job summary

A leading cryptocurrency wallet company is looking for a Data Engineer to shape its data infrastructure. This role involves designing and maintaining data pipelines, managing a data lake, and ensuring data governance and security. Ideal candidates have 3+ years of data engineering experience, strong AWS proficiency, and skills in Python or Go. Enjoy the flexibility of fully remote work while contributing to a decentralized future. Competitive salary and career development opportunities offered.

Benefits

Competitive salary

Flexible working hours

Career development opportunities

Global organization

Qualifications

• 3+ years of experience as a Data Engineer, focusing on data lake architecture and ETL pipeline development.
• Strong experience with Databricks and AWS services including S3, Glue, Lambda.
• Hands-on experience with Airbyte or similar ETL tools.
• Experience writing services and connectors in Python/Go.

Responsibilities

• Architect and maintain robust, secure data infrastructure on AWS.
• Design and maintain data pipelines using Airbyte and custom-built services.
• Oversee the creation and maintenance of the data lake.
• Optimize data pipelines and storage for performance and scalability.
• Implement best practices for data governance and security.

Skills

Data Engineering

AWS Proficiency

ETL Expertise

Proficiency in Python

SQL and Data Modeling

Tools

Databricks

Airbyte

AWS Services (S3, Glue, etc.)

Job description

About the company

Trust Wallet is the leading non-custodial cryptocurrency wallet, trusted by over 200 million people worldwide to securely manage and grow their digital assets. Our vision is to give individuals the freedom to own their assets, confidently participate in the future economy, and access opportunities that enhance their lives. Our mission is to be a trusted personal companion — helping users safely navigate Web3, the on-chain economy, and the emerging AI-powered future. With support for over 10 million assets across 100+ blockchains, Trust Wallet offers a seamless, multi-chain experience backed by industry-leading self-custody technology, a vibrant community, and a growing ecosystem of partners.

The Opportunity

As a Data Engineer, you will play a key role in shaping the data infrastructure that powers our AWS-based data lake. You’ll design, deploy, and maintain data pipelines to ensure a seamless, scalable, and reliable flow of information that underpins our analytics and decision-making.

By leveraging your expertise with AWS, Databricks, Airbyte (or similar ELT/ETL tools), and custom solutions in Python or Go, you’ll collaborate closely with our team to transform raw data into a strategic asset for the company.

Responsibilities

• Data Infrastructure Setup: Architect and maintain robust, scalable, and secure data infrastructure on AWS leveraging Databricks.

• Data Pipeline Development: Design, develop, and maintain data pipelines, primarily using tools like Airbyte and custom-built services in Go, to automate data ingestion and ETL processes.

• Data Lake Management: Oversee the creation and maintenance of the data lake, ensuring efficient storage, high data quality, and effective partitioning, organization, performance, monitoring and alerting.

• Integration and Customization: Integrate tools like Airbyte with various data sources and customize data flows to align with specific business needs. Where necessary, build custom connectors in Go to support unique data requirements.

• Performance and Scalability: Optimize data pipelines and data lake storage for performance and scalability, ensuring low latency and high availability.

• Data Governance and Security: Implement best practices for data governance, security, and compliance in AWS and Databricks, including access control, encryption, and monitoring.

• Collaboration and Documentation: Work closely with platform engineers, data analysts and other stakeholders to understand data requirements and document infrastructure, processes, and best practices.

Qualifications

• Experience in Data Engineering: 3+ years of experience as a Data Engineer, with a focus on data lake architecture and ETL pipeline development.

• AWS Proficiency: Strong experience with Databricks and AWS services including but not limited to S3, Glue, Lambda, Redshift, and IAM.

• ETL Expertise: Hands-on experience with Airbyte or similar ETL tools for data ingestion and transformation.

• Proficiency in Python/Go: Experience writing services and connectors in Python/Go, particularly for data pipeline automation.

• SQL and Data Modeling: Solid understanding of data modeling, SQL, and database concepts.

• Data Governance and Security: Experience implementing security and governance best practices in cloud environments.

Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralised future for everyone.

Additional Information

This is a global and fully remote role. You must have the right to work for the country you are based.

Why work at Trust Wallet?

• Be a part of the world’s leading blockchain ecosystem that continues to grow.

• Excellent learning and career development opportunities.

• Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.

• Tackle fast-paced, challenging and unique projects.

• Work in a truly global organization, with international teams and a flat organizational structure.

• Work fully remotely with flexible working hours.

• Enjoy competitive salary and benefits.

Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.

Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

*Due to the large amount of the applications, please take your application unsuccessful should you not be contacted within 4 weeks from your application date.