Sumsub is the one verification platform to secure the whole user journey. With Sumsub’s customizable KYC, KYB, transaction monitoring and fraud prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business.
Sumsub has over 2,000 clients across the fintech, crypto, transportation, trading and gaming industries including Mercuryo, Bybit, Huobi, Unlimint, DiDi, Poppy and TransferGo.
Now we are looking for a Lead Data Engineer to join our rapidly growing team. This is an amazing opportunity to join Sumsub and make an immediate and real impact on the future of our product.
Our Stack:
- Apache Airflow
- ClickHouse
- Superset and similar data visualisation tools
- ETL tools and technologies
- Data warehousing and storage solutions
- SQL and other relevant programming languages for data engineering tasks
- Programming languages such as Python, Java, Scala
What You Will Be Doing:
- Leading and managing a team of data engineers, providing technical guidance, mentoring, and fostering a collaborative and innovative work environment
- Designing and developing scalable and efficient data pipelines, ETL processes, and data integration solutions to support data ingestion, processing, and storage needs
- Ensuring data quality and reliability by implementing data validation, data cleansing, and data quality monitoring processes
- Optimizing database performance by tuning queries, implementing indexing strategies, and monitoring and analyzing system performance metrics
- Collaborating with cross-functional teams to gather requirements, understand data needs, and develop data solutions that align with business objectives
- Staying up-to-date with emerging technologies and industry trends in data engineering, and identifying opportunities for process improvements and tool enhancements
- Establishing and enforcing best practices and standards for data engineering, including data modeling, data architecture, and coding practices
- Providing technical leadership in evaluating and selecting appropriate tools, technologies, and platforms for data engineering projects
- Driving innovation and continuous improvement in data engineering processes, workflows, and methodologies
- Collaborating with stakeholders to define data strategies, implement data governance policies, and ensure data security and compliance
About You:
- Proven experience in a lead role in data engineering, managing and guiding a team of data engineers
- 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
- Knowledge of AWS is a plus
- Strong analytical and problem-solving skills
- Solid project management and organizational skills, with the ability to prioritize and manage multiple data engineering projects concurrently
What We Offer:
- Competitive compensation in compliance with your professional expertise
- Working with a product that matters. Our technology helps to protect millions of users and many online services worldwide.
- International project. Our team works from offices in Berlin, Limassol, London, and Miami, our customers are spread from Mexico and the USA to Hong Kong, South Korea, and Singapore.
- Remote first company – work from anywhere in the world
- Paid vacation and sick leave
Sounds like a great opportunity for your career development? Then go ahead and apply!