Data Engineer

Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor?

Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients. We call it SLaaS: Securities Lending as a Service. It’s a fully digital, customizable, end-to-end solution that automates front- and back-office operations. Institutions and investors are now free to earn more from what they own.

Every Sharegainer has their own backstory, but we all share an ambition to do things differently – bigger, better, and greater. Together we’re on a mission to democratize capital markets by building a more liquid world. The more we share, the more we all gain.

Responsibilities

Sharegain is currently in the process of seeking a dedicated Data Engineer to become an integral member of our innovative R&D team. You will play a vital role in managing the entirety of our data processing framework and infrastructure. Your valuable contributions will not only steer data-centric decision-making but also actively contribute to the evolution of Data monitoring and management solutions across our organization. Within this role, your tasks will encompass the design and execution of expansive telemetry pipelines, coupled with the implementation of solutions to uphold data integrity. Your expertise will be a cornerstone in propelling our data-related endeavours forward.

You will:

• Construct robust data integration processes and efficient ETL workflows
• Diagnose and resolve data-related challenges, ensuring the validation of result sets with exceptional quality.
• Collaborate proficiently with Azure data platforms
• Engage in productive collaborations with diverse Sharegain teams (R&D, architects, business) to devise and actualize tailored solutions for their unique operational needs
• Expand the capabilities of the Data Lake by seamlessly incorporating different data sources

Requirements

• “Can do attitude”
• Bring over 3 years of hands-on experience in the realms of Data Engineering 
• Experience developing and orchestrating data pipelines in Microsoft Azure data ecosystem 
• Excellent knowledge of SQL with advanced analytics data orientation
• Hands-on experience working with Azure Synapse Analytics/Fabric
• Experience with data warehousing and data mart concepts
• Understanding and work experience in financial markets and instruments (shares, ETFs, bonds) is a major plus
• Thrive as a collaborative team player, seamlessly integrating with diverse R&D teams both domestically and internationally
• Excel in communication, with a knack for conveying complex ideas effectively.

Sharegain is an equal opportunity employer. Employees and contractors, as well as prospective employees and contractors, will all be treated equally and fairly. We are passionate in our belief that a diverse workforce is central to our success, and we are proud to reflect this within our recruiting processes.