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For Companies At a Glance
- Tasks: Design and develop scalable data pipelines and ETL processes.
- Company: Join Sumsub, a leading verification platform with over 4000 global clients.
- Benefits: Enjoy remote work, flexible hours, extra days off, and team offsites.
- Why this job: Be part of a tech-driven team making a real impact on user security worldwide.
- Qualifications: Strong skills in data engineering tools, SQL, Python, and project management.
- Other info: Diversity is key; we welcome applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
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. Our products are recognised by industry leaders like Gartner's Magic Quadrant, Forrester Wave and Frost Radar.
Our tech stack includes:
- Data visualisation tools: Superset and similar
- ETL tools: Airflow, DBT, Airbyte, Flink, etc.
- Data warehousing and storage solutions: ClickHouse, Trino, S3
- AWS Cloud, Kubernetes, Helm
Relevant programming languages for data engineering tasks include SQL, Python, Java, etc.
What you will be doing:
- 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.
- Optimising database performance by tuning queries, implementing indexing strategies, and monitoring and analysing 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 modelling, 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:
- 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:
- Fully remote and flexible working schedule, with access to a coworking space (in some locations).
- Working with a product that matters. Our technology helps to protect millions of users and lots of 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.
- 1 extra day off to celebrate your birthday.
- 7 additional days to enjoy the Christmas & New Year holidays.
- 7 days of sick leave (without the need for documentation).
- Regular, fully covered team offsites to connect and collaborate.
- Learning opportunities and support to attend industry events with the team.
The hiring stages: TA screening -> Hiring Manager Interview -> Assignment -> Final Interview.
We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively.
Senior Data Engineer employer: Sumsub
Contact Detail:
Sumsub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Apache Airflow and ClickHouse. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Sumsub on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Stay updated on the latest trends in data engineering by following relevant blogs, podcasts, or attending webinars. Being able to discuss recent advancements or tools during your interview will demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss specific examples of how you've optimised database performance or implemented data quality processes in past roles. Concrete examples will help illustrate your problem-solving skills and technical proficiency to the hiring team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering technologies mentioned in the job description, such as Apache Airflow, ClickHouse, and SQL databases. Use specific examples to demonstrate your proficiency in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Sumsub and explain how your skills align with their needs. Mention your experience with designing scalable data pipelines and your understanding of data quality processes.
Showcase Relevant Projects: If you have worked on projects that involved ETL processes, data integration, or data warehousing, be sure to include these in your application. Describe your role and the impact of your contributions to highlight your technical leadership.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've attended related to data engineering. This shows your commitment to staying up-to-date with emerging technologies and industry trends, which is important for the role.
How to prepare for a job interview at Sumsub
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, such as Apache Airflow, ClickHouse, and SQL. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Demonstrate Problem-Solving Skills
Prepare to showcase your analytical and problem-solving abilities. You might be asked to solve a data-related challenge during the interview, so think through your approach to data quality, validation, and performance optimisation.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others. Discuss how you gathered requirements and developed data solutions that aligned with business objectives.
✨Stay Updated on Industry Trends
Show your enthusiasm for the field by discussing recent trends or emerging technologies in data engineering. This demonstrates your commitment to continuous improvement and innovation, which is crucial for the role.
