Data Engineer

Recooty; Remote; PLN 120,000 - 180,000; Full time

Job summary

A growing technology company in Poland seeks a Data Engineer to design and implement Data Warehouses and Lakes, ensuring data integrity across distributed systems. The ideal candidate has experience with Kafka and TimeSeries data, along with strong TypeScript programming skills. This position offers fully remote work and numerous perks, including 20 paid vacation days and a monthly stipend for personal development. If you thrive in a fast-paced environment and are eager to learn, we would love to hear from you.

Benefits

Fully remote job

20 days of paid holiday

Monthly allowance for perks via Worksmile

Integration events

Informal atmosphere

Non-corporate communication

International environment with English communication

Qualifications

• Experience with managing data across distributed service-oriented systems.
• Strong knowledge of data validation and denormalization.
• Ability to read and write TypeScript code.

Responsibilities

• Designing and implementing Data Warehouses and Data Lakes.
• Ensuring data integrity across distributed systems.
• Working with Kafka-based EventStore and TimeSeries data.

Skills

Data integrity management

Data design

ETL design using Kafka

TimeSeries data expertise

TypeScript programming

CI/CD processes

Elk stack

Linux proficiency

Tools

Snowflake

Kafka

MongoDB

Postgres

Cassandra

Terraform

Ansible

DataDog

Job description

Flip is a complex social platform developed at a great scale with service-oriented architecture.

We’ve created a code ecosystem with over 130 auto-scalable microservices behind the API gateway integrated with a unified logging layer and common monitoring.

We have more than 130 microservices which we have created in accordance with microservices best practices. Those homogeneous Node.js microservices rely on the Nest framework. Such an approach allows us to build a microservice that is production-ready in 15 minutes.

What is more, we use HA/HPA systems which are scalable depending on the user traffic. When it comes to databases, our go-to solutions are MongoDB, Scylla, TimeScaleDB and PostgreSQL.

What we offer:

• Fully remotejob
• 20 daysof paid holiday
• 400 PLNeach month to spend on +750 perksvia Worksmile
• Working hours from 8:00 / 9:00 AM CEST to 4:00 / 5:00 PM CEST
• Integrationevents
• Informalatmosphere
• Non-corporate communicationacross teams
• Aninternational environmentin whichEnglishis spoken

Our tech stack:

• Databases: MongoDB / AWS RDS / ScyllaDB
• Development: RabbitMQ / Kafka
• Microservices based on: K8s
• Monitoring & APM: DataDog
• Logs: ELK Kibana
• CI/CD system: GitLab
• Infrastructure as a Code: Terraform & Ansible
• Our main cloud: AWS

Your roles and responsibilities:

• Designing and implementing Data Warehouse and Data Lakes with Snowflake and AWS
• Ensuring and constantly checking data integrity across distributed system
• Working with Kafka-based EventStore and DataLakes
• Working with TimeSeries data with TimeScaleDB
• Improving data structures
• Being dedicated and engaged
• Working remotelyfull-time

What we need from you:

• Experience with managing data across distributed service-oriented system, where every subsystem is an owner of the data
• Great knowledge of data design, data validation, denormalizing data
• Experience with Kafka ecosystem and designing ETL using Kafka
• Good knowledge of Mongo, Cassandra, Postgres (yes, we use them all!)
• Good knowledge of TimeSeries data
• Ability to read & write code in TypeScript
• Familiarity with CI/CD processes in software development
• Experience with ELK stack
• Strong skills in Linux and other open-source software

Awesome to have:

• Experience working in a start‑up environment
• “Can-do” attitudewith readiness for new challenges
• Engagementand a proactive, positive attitude
• Openness to learningand masteringdiverse technologies and techniques, along with a desire for continuous learning

Please include: "I hereby give consent for my personal data included in my application to be processed for the purposes of the recruitment process under the Personal Data Protection Act as of 29 August 1997, consolidated text: Journal of Laws 2016, item 922 as amended." in your resume.