Senior Data Engineer at Mintos

Riga, , Latvia -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

6200.0

Posted On

27 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Architecture, Data Pipelines, ETL/ELT, Data Quality, Cloud Data Warehouse, AWS, Performance Tuning, Monitoring, Logging, Alerting, Incident Response, dbt, Airflow, Dagster, Prefect

Industry

Financial Services

Description

Millions of people across Europe want better ways to build long-term wealth, but traditional investing often feels complex or out of reach. Mintos is solving that. We've built a platform that makes investing in income-generating assets simple, transparent, and accessible. And we're expanding fast. As our Senior Data Engineer, you'll turn complex data into business-ready reporting and help us take the business reporting to the next level as we grow to millions of investors. If this is the kind of problem you want to solve, let's talk. What you'll do As our Senior Data Engineer, you'll solve the challenge of turning fast-growing, complex data into high-quality, trusted, business-ready reporting. Your focus will be building and continuously improving our data platform, which means designing scalable data architecture, building robust data pipelines and reporting systems, and enforcing reliability and data quality best practices. You'll work with Analytics/BI, Product, and Engineering to enable accurate decision-making and dependable large-scale reporting. You will: Engineer scalable, resilient data architecture and infrastructure, balancing efficiency, speed, and maintainability Design, build, and continuously enhance data systems that collect, process, store, and distribute data across the organization Create, maintain, and optimize ETL/ELT workflows and large-scale operational reporting Set and enforce best practices to keep data accurate, protected, accessible, and performant Maintain high reliability of production data systems via monitoring, logging, alerting, and structured incident response Participate in peer reviews, diagnose issues, and implement fixes to improve system stability and delivery quality Your professional skills and background Must-haves 5+ years of experience in data engineering / building data platforms and pipelines Strong hands-on expertise in SQL, including advanced query optimization and performance tuning Proven experience working with large-scale datasets and building operational reporting at scale Practical experience with a cloud-based columnar data warehouse, preferably AWS Redshift Familiarity and practical experience using AWS services for data engineering workloads Experience using ETL/ELT tools such as SSIS or Talend to design and manage workflows Experience operating production-grade data systems (monitoring, logging, alerting, incident handling) Nice-to-haves Experience with modern data engineering frameworks such as dbt, Airflow, Dagster, or Prefect Background in scaling data platforms in high-growth environments (fintech or similarly regulated industries is a plus) What we offer 💸Competitive salary and stock options. Your experience and contribution matter, and we reflect that in fair compensation. You’ll also receive equity so you can share in the value you help create. 🤹Flexibility that fits real life. We understand how important it is to stay connected with colleagues while having the opportunities to work remotely. Come to the office to collaborate and be productive side by side, work from home when you need to, and spend up to three months each year working from another country. 🌴Generous vacation policy. Rest and recovery are essential. We don’t limit vacation to the minimum required by law. Take the time you need to recharge and come back refreshed. 🧠Learning and growth. An annual €1,200 learning budget to support your professional and personal growth. Whether you want to explore something new or deepen your expertise, we’ll support you along the way. ☕Very well equipped office. Comfortable environment matters. When in the office, enjoy the parking, showers, kitchen with snacks and drinks, massage chair, nap room and others. Proud to be recognized for fairness Mintos was recognized by Figure Baltic Advisory for fairness and equality in compensation and representation, achieving 3rd place in 2025. International team of 170+ people from 17+ countries Join a diverse team where different perspectives and experiences are valued. We work across Europe, share ideas openly, and collaborate to solve meaningful challenges together. Mintos is an equal opportunity employer. We're committed to building a diverse team and creating an inclusive workplace for everyone. If you need accommodations during the interview process, contact us at people@mintos.com.

Responsibilities

The Senior Data Engineer will focus on building and continuously improving the data platform by designing scalable architecture, building robust data pipelines, and enforcing data quality best practices. This role involves enabling accurate decision-making and dependable large-scale reporting by collaborating with Analytics/BI, Product, and Engineering teams.