
Data Specialist
5 hours ago
At SpendLab, we are on a mission to revolutionize payments recovery by building cutting-edge technology that streamlines financial workflows and uncovers hidden value.
Our team develops state-of-the-art technology that leverages over 450 in-house developed algorithms and models to investigate large-scale accounting data and identify improper cash flows within our clients' procure-to-pay processes.
Think of us as a startup experience—minus the risk. We're rebuilding our tech stack from the ground up, solving new and exciting challenges, developing algorithms to uncover overpayments, and building SaaS products that transform how businesses manage their spend.
If you're passionate about working with financial data, ensuring data integrity, and being part of a talented, collaborative team, SpendLab could be your next great adventure.
What You'll Be Doing
Engage directly with customers to gather financial data, ensuring smooth integration.
Process, transform, and store customer data in a standardized format.
Write SQL queries to manage data integration and transformation.
Ensure data quality and accuracy before running analytics and algorithms.
Collaborate closely with project managers and internal teams to optimize data workflows.
What We Are Looking For
Experience: 2+ years in data processing, data analytics, or financial data management.
Skills: Strong SQL knowledge is required; familiarity with Python, Git, Dagster, DBT, or Snowflake is a big plus.
Mindset: Detail-oriented, proactive problem solver with a collaborative spirit.
Bonus Points: Experience working with financial data or SAP integrations.
What's In It For You
Enjoy a hybrid work environment (3 days from the office, 2 from home).
Private health insurance, ensuring your well-being.
Time-off policy with 25 days of annual holiday.
5 personal leave days.
Earn a €1,000 net referral bonus for every successful hire you help bring to the team.
As we grow, we will be adapting our benefits to ensure employee satisfaction in the long run.
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