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Software Engineer - Reporting / Data Transformation System

Campbell North Ltd.

London

On-site

GBP 50,000 - 90,000

3 days ago

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An established fintech startup is seeking a Software Engineer to enhance their reporting and data transformation systems. This role involves designing and maintaining a critical system aimed at generating reliable reports, while collaborating with various teams to ensure effective communication of business operations. The ideal candidate will possess strong skills in Python, SQL, and data monitoring tools, and will thrive in a dynamic startup environment. If you are ready to make a significant impact in a forward-thinking company, this opportunity is perfect for you.

Prior experience in building reporting/data transformation systems is essential.
Strong proficiency in Python, SQL, and Pandas is required.

Design and maintain a system for generating reports focused on performance.
Communicate effectively with teams to understand business operations.

Python

Pandas

SQL

Communication Skills

Datadog

Grafana

Prometheus

Snowflake

PostgreSQL

About the Role:

A well-backed and established fintech startup is looking to hire an SWE with experience working on reporting / data transformation systems to join its team inLondon or an EDT time zone.

Responsibilities may include:

Design, develop, and maintain a business-critical system to generate reports with a strong focus on performance and reliability.
Develop an understanding of business operations and communicate effectively with other teams and stakeholders.

Requirements:

MUST HAVE:

Prior commercial experience building reporting/data transformation systems.
Strong Python, Pandas, and SQL proficiency.
Experience leveraging monitoring tools like Datadog, Grafana, Prometheus, etc.
Familiarity with database tools such as Snowflake / PostgreSQL.
Located in London or Easter Time Zone (EDT).
Excellent communication skills.

Nice to have:

Experience with parallel computing.
Commercial experience working at a trading firm.
Familiarity with large-scale event processing systems.
Prior experience working at a tech startup.

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