Senior Data Engineer
NaNLABS Jyväskylä, Central Finland, Finland
Software Development · 51-200 employees
About the role
Design, build, and maintain robust data pipelines to transform a proof of concept into a scalable production-grade data product. Collaborate with data science and engineering teams to operationalize NLP/LLM components and ensure reliable data delivery.
What they look for
Requirements
Requires strong professional experience in data engineering with advanced proficiency in Python and Apache Airflow. Candidates must have a solid foundation in PostgreSQL, cloud infrastructure (AWS), and the ability to work autonomously in an international team.
Benefits
Full description
Senior Data Engineer
Remote – LATAM
About the Project
We’re looking for a Senior Data Engineer to join a greenfield initiative focused on turning an existing proof of concept into a production-grade data product.
The project involves building a reliable data pipeline and data service that will provide cyber risk insights to brokers in Asian markets, helping them make better-informed decisions when preparing quotes for underwriters.
You’ll work closely with Data Science and Data Engineering teams, taking an existing POC and evolving it into a scalable, reliable, and maintainable solution.
What you’ll do
- Design, build, and productionize robust data pipelines using Python and Airflow.
- Transform an existing Data Science POC into a reliable, maintainable production solution.
- Build and maintain data processing workflows, including scheduling, retries, validations, and regression checks.
- Work with PostgreSQL to design efficient schemas, queries, views, and data access patterns.
- Build the data access layer using GraphQL and, over time, Hasura.
- Collaborate closely with Data Scientists to integrate and operationalize existing NLP/LLM-based components.
- Ensure reliable and consistent data delivery on a recurring cadence.
- Work with AWS-based infrastructure and understand how services, orchestration, storage, and connectivity fit together.
- Collaborate with SRE and Engineering teams on deployment and production-related needs.
- Take ownership of technical decisions and independently drive work from requirements to production.
Tech Stack You’ll Use
- Core: Python, PostgreSQL, Apache Airflow, GraphQL
- Infrastructure & Data: AWS, S3, Redis, Elasticsearch, Docker, Kubernetes, Helm, GitHub Actions
- Additional technologies: Hasura, SQLAlchemy, Liquibase/Flyway
What we’re looking for
- Strong professional experience in Data Engineering.
- Advanced proficiency in Python, especially for data pipelines and data processing.
- Hands-on experience with Apache Airflow in production environments.
- Strong knowledge of PostgreSQL and relational database fundamentals.
- Experience working with cloud environments, ideally AWS.
- Basic DevOps knowledge and the ability to understand infrastructure, deployment, and connectivity concepts.
- Experience with GraphQL, or a strong foundation that allows you to ramp up quickly.
- Ability to work autonomously, make technical decisions, and take ownership of solutions.
- Comfortable collaborating with Data Scientists and other cross-functional technical teams.
- Familiarity with AI-assisted coding tools and an interest in using them as part of the development workflow.
- Experience with Hasura, cybersecurity data, or data-as-a-product environments is a plus.
- English level B2 or higher, with the ability to communicate effectively in an international team.
What you’ll get
- Time off & well-being: vacations fully flexible and self-managed, sick leave and personal days, public holidays, paternity and maternity leave, study leave, and moving days.
- Learning & growth: training in best practices and tech, books and light talks, in-house English classes, continuous feedback, and 1:1 career development sessions.
- Work experience: flexible working hours, equipment and work materials provided, internal events and team activities, and a day off on your birthday.
- Contract & setup: 100% remote positions across LATAM, under a contractor model with payment in USD.
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