Geforderte Skills
- Data Engineering
- AWS
- Snowflake
- ETL
- ELT
- Data Pipelines
- Data Ingestion
- Data Validation
- Error Handling
- Cloud Services
- Data Warehousing
- English (C1)
Sprachen: English · Polish
Jobbeschreibung
Seeking an experienced Data Engineer with AWS and Snowflake expertise for a FinTech/AI Analytics client in the UK. The role involves building a modern data platform and data pipelines.
Project overview
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Data Engineer (AWS & Snowflake) – FinTech / AI Analytics
Salary: 120 – 170 PLN/h net (+ VAT) | B2B
For our client in the FinTech / AI Analytics sector, we are looking for an experienced Data Engineer to join the team building a modern data platform. The project is carried out directly for a client from the UK, which is why daily cooperation and project communication take place in English.
We offer full-time engagement for a period of 3–5 months, starting around December.
Scope of responsibilities
- Co-creating the architecture and designing the data platform based on AWS and Snowflake.
- Implementing and optimizing ETL/ELT processes.
- Designing and building scalable data pipelines.
- Automating data ingestion processes.
- Implementing data validation and error handling mechanisms.
Requirements
- Commercial experience as a Data Engineer (Mid/Senior level).
- Practical knowledge of AWS cloud services and Snowflake data warehouse.
- Documented experience in building ETL/ELT processes and automating data ingestion.
- Attention to data quality and consistency (experience with data validation and error handling).
- English language at min. C1 level – fluent communication in speech and writing with the UK client's team.
- Fluent knowledge of Polish.
- Readiness to undertake full-time cooperation from December for a period of 3–5 months.
Project details
Full-time (100% remote)
December
3–5 months
- Start: flexible
- Remote: remote
- Location: Gliwice, Kaczyniec 9, PL
- Rate: 120-170 EUR/h
- Languages: English, Polish
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