Sales Intelligence Data Specialist at Ebury

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

02 May, 26

Salary

0.0

Posted On

01 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, dbt, BigQuery, Python, Data Modeling, Sales Intelligence, Data Integration, API, Salesforce, Data Engineering, Commercial Sales Logic, Data Requirements, Market Analysis, Technical Constraints, Data Aggregation, Prospect Analysis

Industry

Financial Services

Description

Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we’ve grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You’ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry. Sales Intelligence Data Specialist Sales Acceleration Ebury Warsaw Office - Hybrid: 4 days in the office, 1 day working from home per week Do you speak both "Sales" and "SQL"? At Ebury, we believe that data is only as valuable as the context it provides to our team on the front lines. We are looking for a Sales Intelligence Engineer to serve as the critical technical link between our commercial Sales Intelligence visionaries and our Python-focused Data Engineering team. You won't just be building pipelines; you will be the architect of "Total Field Awareness," ensuring that every sales outreach is backed by high-definition intelligence. You will translate complex sales logic into robust data models using BigQuery and dbt, transforming raw data from multiple sources into a unified, actionable view of the market. Your work will directly power our Salesforce ecosystem and our proprietary Internal AI Co-pilot, providing the intelligence that helps our sales floor win. What you’ll do Act as the "Translator" who maps commercial sales logic into technical data requirements for the engineering team. Use BigQuery and dbt to build models that aggregate internal data and external API sources into a unified view of the market. Integrate diverse third-party databases to provide deep context (financials, contacts, technographics) on every prospect. Ensure all modeled data is perfectly structured to feed our internal AI Co-pilot and Salesforce UI, providing the ''Last Mile'' of intelligence to the sales floor. What you’ll need Proficiency in SQL and experience with dbt and BigQuery are essential. Familiarity with Python-based data environments is a major plus. You understand how businesses operate and can identify which data points actually move the needle for a salesperson. You have the rare ability to explain technical constraints to a Sales Director and commercial goals to a Data Engineer. You don't just move data; you solve the puzzle of how to make that data useful in a high-stakes commercial environment. Why Ebury? Competitive Starting Salary that truly rewards your performance from day one. Dedicated Mentorship: Learn directly from experienced managers who are invested in your success. Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best. Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury. Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized. Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits. Central Warsaw Office: A fantastic location with excellent transport links. Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury! You can also connect with me on LinkedIn - Gabriella Cheston #LI-GC2 #LI-HYBRID About Us Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Founded in 2009, we are headquartered in London and have more than 1700 staff with a presence in more than 29 markets worldwide. Cultural diversity is part of what makes Ebury a special place to be. From Sao Paulo to Dubai, Vancouver to Auckland, we enjoy sharing team experiences and celebrating success across the Ebury family. Hard work pays off: in 2019, Ebury received a £350 million investment from Banco Santander and has won internationally recognised awards including Financial Times: 1000 Europe's Fastest-Growing Companies. None of this would have been possible without our proudest achievement: our great people. Enthusiastic, innovative and collaborative teams, always ready to disrupt and revolutionise the fast-paced FinTech sector. At Ebury, we’re committed to building a workplace where everyone feels valued, supported, and empowered to thrive. We’re proud to have active employee networks and ESG initiatives that reflect our inclusive culture, including our Women’s Network, LGBTQIA+ Network, and Veterans Network. These communities provide spaces for connection, mentorship, advocacy, and collaboration across our global teams. We believe in inclusion. We stand against discrimination in all forms and have no tolerance for the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story because we want you and your uniqueness to help write our future. Please submit your application on the careers website directly, uploading your CV / resume in English.

Responsibilities

Act as the technical link between sales and data engineering, translating sales logic into data requirements. Build models using BigQuery and dbt to aggregate data for actionable market insights.