Senior Data Engineer

About Us

Sumsub is a leading full-cycle verification platform that enables scalable compliance. From identity and business verification to ongoing monitoring, our platform adapts to different risk appetites and market demands, ensuring global compliance. It allows customizing analytics and workflows with a no-code interface.

Over 4,000 clients — including Bitpanda, Wirex, Avis, Bybit, Vodafone, Duolingo, Kaizen Gaming, and TransferGo — trust Sumsub to accelerate growth, prevent fraud, and maintain compliance worldwide.

Tech Stack

• ETL tools: Airflow, DBT, Kafka, Airbyte, Flink
• Data warehousing and storage solutions: ClickHouse, Trino, S3
• AWS Cloud, Kubernetes, Helm
• Programming languages for data engineering tasks: SQL, Python, Java
• Superset and similar data visualization tools

Responsibilities

• Design and develop scalable and efficient data pipelines, ETL processes, and data integration solutions to support data ingestion, processing, and storage needs.
• Ensure data quality and reliability by implementing data validation, data cleansing, and data quality monitoring processes.
• Optimize database performance by tuning queries, implementing indexing strategies, and monitoring and analyzing system performance metrics.
• Collaborate with cross-functional teams to gather requirements, understand data needs, and develop data solutions that align with business objectives.
• Stay up-to-date with emerging technologies and industry trends in data engineering, and identify opportunities for process improvements and tool enhancements.
• Establish and enforce best practices and standards for data engineering, including data modeling, data architecture, and coding practices.
• Provide technical leadership in evaluating and selecting appropriate tools, technologies, and platforms for data engineering projects.
• Drive innovation and continuous improvement in data engineering processes, workflows, and methodologies.
• Collaborate with stakeholders to define data strategies, implement data governance policies, and ensure data security and compliance.

Requirements

• Strong technical proficiency in data engineering technologies, such as Apache Airflow, ClickHouse, ETL tools, and SQL databases.
• Deep understanding of data modeling, ETL processes, data integration, and data warehousing concepts.
• Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala.
• Strong analytical and problem-solving skills.
• Solid project management and organizational skills, with the ability to prioritize and manage multiple data engineering projects concurrently.

Nice to Have

• Knowledge of AWS

What We Offer

• Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours.
• True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team.
• Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year.
• Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online.
• Compensation. We offer fair and transparent pay, benchmarked to the market.
• Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide.
• Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums.
• Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together.
• Getting you set up. We make sure you have access to the tools and hardware you need to do your work well.
• Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun.

Hiring Process

TA screening → Hiring Manager Interview → Team Introduction → Final Interview