Data Engineer

About Jeff

There are 2 billion people in the world that are financially underserved, having little to no access to financial products. The majority of these people live in the Emerging Markets.

Jeff is a financial technology startup that addresses this issue. We build financial product comparison marketplaces that help consumers and financial service providers connect and increase odds of cooperation by the help of available data - largely digital footprint. Our goal is to unlock financial services for the underbanked, with a clear focus on emerging economies that will drive the global economy in decades to come.

As we enter the next phase in our journey, we are looking for Data Engineer to join our team.

If you're looking for a challenge and the opportunity to participate in building an exciting, global product, then this role is for you! ⚡️

In this role, you will:

• Design, develop and maintain scalable data pipelines on AWS (primarily S3, Redshift) using industry-standard ETL tools (e.g. Airflow).
• Build and manage reliable integrations to Tableau visualization tool; design and implement Tableau data extracts and live connections that optimize performance.
• Design, create and curate various high quality data products and data solutions for external partners as well as for internal business use.
• Monitor and troubleshoot data services and data pipelines issues to ensure data quality, integrity and availability; ensure high availability and reliability of Tableau reports and dashboards across the organization.
• Collaborate within cross-functional teams to understand business requirements and implement appropriate data solutions; collaborate with business users to understand data requirements and implement appropriate data structures.
• Build and maintain data documentation, metadata, data lineage.
• Drive code reviews and implement best practices for data engineering; implement performance optimization.

Your experience and knowledge:

• Bachelor's degree in Computer Science, Engineering, or related field.
• 4+ years of experience in data engineering roles, including at least 2 years in a mid-level position.
• Strong SQL skills (PostgreSQL, Redshift).
• Proficiency in Python for data processing and pipeline development.
• Experience with AWS (S3, Redshift, Lambda, etc.) or similar cloud services and infrastructure (Azure, GCP).
• Hands-on experience with Apache Airflow (or similar tool) for orchestrating data workflows.
• Knowledge of data warehousing concepts, data modeling techniques and best practices, data engineering best practices, ETL/ELT and performance optimization.
• Experience with data visualization tools Tableau or Power BI.
• Experience with version control systems (Git).
• As a professional You have strong innovation drive and can-do attitude.
• Communication skills.
• You are expected to be an expert in your field, and constantly keep up with the trends and technologies.

What we can offer you:

• Competitive salary based on seniority, experience, and skills.
• Performance-based bonus evaluated every 6 months.
• Equipment of your preference.
• Opportunity to join Employee Stock Option Plan & earn performance bonuses after successful probation.
• Knowledgeable, driven and truly experienced team.
• Modern and cozy office in the very center of Riga, Spikeri - the very heart of Latvian startup ecosystem.
• A hybrid approach to work - you can spend 2 days at home per week after probation.
• Team building events, both remotely and in-office.
• Health insurance after the probation.
• High energy - as a growing startup, no day is the same.
• Unlimited growth - as the company grows, you grow with us! 🚀

Our Values:

• Walk the talk: We not only understand what to do but are able to execute it.
• Integrity: We are reliable, trustworthy, and accountable professionals who respect each other.
• 10x Mentality: We tackle massive markets with bold ambition and solutions.
• Action over perfection: We make informed decisions quickly and iterate as we go.
• Always be solving, always be building: We are problem solvers, not just problem finders.
• Own it: We take full responsibility for our work and ensure everything possible is done to deliver outcomes.

Since launching in Vietnam in 2020 JEFF have:

•  Grown to a 40+ person team across 6 countries
• Helped 9 million customers compare tens of millions of financial products
• Raised close to $5 Million from reputable investors
• Grown from 0 to 8-digit annual revenue
• Recognised as one of the fastest growing companies in Europe by Financial Times and Statista (#27 in FT1000)
• Been recognized by Sifted as the fastest growing startup in the region
• Been named a Top 3 fastest growing tech company in Central Europe by Deloitte

To avoid misunderstandings, the first 3 months is the period when we truly find out if it is a match - both in terms of values, as well as competences.

🤘 Ready to have fun while building a data-driven financial marketplace for the economies of tomorrow? Let's talk!