Looking for Middle+/Senior Data Engineer to develop a cloud DWH on AWS: building and maintaining reliable ETL/ELT pipelines (S3 + Redshift) using Airflow and DBT, improving data quality, and collaborating with analytics and product teams.
Requirements
- Excellent SQL (window functions, optimization for analytical workloads).
- AWS experience: at least S3 and Redshift (or any other cloud data warehouse).
- Hands-on experience building ETL/ELT pipelines and orchestrating them in Airflow.
- DBT experience: models, tests, documentation, Git workflow.
- Python for data pipelines.
- Understanding of data modeling approaches and DWH architecture (we use Data Vault 2.0).
- Git workflow skills (code review, pull/merge requests).
- English from B2 level.
Nice-to-have:
- CI/CD setup experience for data projects (DBT, tests, pipeline deployment).
- Experience with Kafka/Kinesis or other streaming data sources.
- Experience with BI tools (Looker, Power BI, Tableau, etc.).
Benefits
- Remote work from anywhere in the world
- Performance bonus, paid vacations and day-offs, personal development plan
- Transparent processes, short dailies, regular retros and 1-on-1s. We prioritize work over endless calls.
- Minimal documentation — only critical docs, analysts handle the rest.
- Fast deploys and minimal approvals. See your work's impact quickly.
- All development locally, no RDP.
- Influence on DWH architecture. Propose and discuss your ideas — we listen and act.
- Diverse, inclusive team where all voices are valued, and professional growth is a priority.
Top Skills
What We Do
At Renmoney, we believe finance should be simple, useful and accessible to everyone.
That’s what makes us really passionate about leveraging data driven insights to help us understand you better and build useful financial products for your personal and business needs - like convenient loans to help you do more today, savings to keep you on track for your goals and investments that’ll generate more money for you.
We run a hybrid work model with some of our employees working fully remote and others working remotely and coming into the office a few times a week.
