Senior Data Insights Engineer

Job not on LinkedIn

October 10

🗣️🇧🇷🇵🇹 Portuguese Required

PySpark

Python

SQL

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Logo of Trustly

Trustly

Fintech • Finance • eCommerce

Trustly is a leader in Open Banking solutions, providing a cohesive suite of financial and payment products designed to modernize payments, reduce costs, and mitigate risk. The company focuses on delivering secure, low-cost payments and seamless financial services through industry-leading connectivity, offering services such as instant payouts, customer onboarding, risk assessment, and real-time account verification. Trustly serves a variety of industries, including billers, eCommerce, financial services, and gaming, leveraging high-quality, bank-validated financial data to enhance user experiences. Their solutions are tailored to enterprise needs, aiming to improve acceptance rates, minimize processing costs, and prevent fraud risk.

- employees

Founded 2008

đź’ł Fintech

đź’¸ Finance

🛍️ eCommerce

đź“‹ Description

• Data Architecture and Modeling: Design, develop, and maintain scalable and robust data models to support reporting, business intelligence, and data analytics. • Data Visualization: Develop and maintain insightful dashboards using Amazon QuickSight. • Optimization and Automation: Identify and implement opportunities to improve efficiency, performance, and accuracy of current processes. • Collaboration: Work closely with stakeholders to gather their business requirements and translate them into scalable data solutions. • Data Quality and Governance: Establish and enforce best practices for data quality, documentation, and governance. • Drive data literacy and adoption: Champion a data-driven culture within the organization by sharing knowledge, best practices, and promoting the use of data in decision-making.

🎯 Requirements

• Proven experience in a similar role: A strong track record in a data-focused role such as BI Engineer, Analytics Engineer, and/or Data Engineer, preferably in fintech. • Strong proficiency in SQL: Expertise in SQL is essential for data querying, modeling, and transformation. • Experience with data visualization tools: Proficiency in creating insightful and actionable dashboards. Experience with Amazon QuickSight is a plus. • Programming: Python/PySpark for data manipulation and pipeline development. • Soft Skills: Excellent communication and collaboration skills are a must, as you'll be working with a diverse range of technical and non-technical stakeholders. • Fluent English: You'll work with a Global team.

🏖️ Benefits

• Bradesco health and dental plan, for you and your dependents, with no co-payment cost; • Life insurance with differentiated coverage; • Meal voucher and supermarket voucher; • Home Office Allowance; • Team Allowance; • Wellhub - Platform that gives access to spaces for physical activities and online classes; • Trustly Club - Discount at educational institutions and partner stores; • English Program - Online group classes with a private teacher; • Extended maternity and paternity leave; • Birthday Off; • Flexible hours/Home Office - our culture is remote-first! You can work in every city in Brazil; • Welcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats! Spoiler alert: Equipment can be purchased by you according to internal criteria!; • Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs and individual performance; • Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!

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