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Cloud Data Engineer

OPTIVEUM sp. z o.o.Warsaw, Masovian Voivodeship, PL

2 days ago

Job type

Quick Apply

Job description

Optiveum is a recruitment and consulting company created based on our 20-plus years of experience in HR & IT services.

We work for Clients located in Poland and abroad providing our local and international Candidates with Project-based or Permanent job opportunities in a remote or office-based model.

Optiveum sp. z o.o. to firma rekrutacyjno- konsultingowa prowadzona na bazie naszego ponad 20-letniego doświadczenia na rynku usług HR i IT.

Pracujemy z klientami w Polsce i za granicą oferując międzynarodowym kandydatom pracę stałą lub projektową u Klientów w biurze lub w modelu zdalnym.

DANE FIRMY / COMPANY DATA

Optiveum Sp. z o.o.

ul. Tomasza Zana 43 lok. 2.1 20-601 Lublin

nr KRS : 0000834436, NIP 7010975729

Firma wpisana do Krajowego Rejestru Agencji Zatrudnienia pod numerem : 23910

Data Engineer – Cloud ETL & Platform Development

Hybrid in Warsaw (3 days / week onsite required) | 💼 Full-time | B2B contract up to $7,000 / month

About the Role

Our client is a US-based technology company headquartered in New York City, delivering digital solutions and consulting services that transform businesses and drive measurable value. With offices in multiple countries, the company is now investing in a new engineering centre in Warsaw, recognizing the strong talent and culture of Polish software professionals.

We are looking for a highly motivated and self-driven Data Engineer to join a fast-growing data platform team. In this role, you will design, build, and maintain robust, scalable, and cloud-native ETL infrastructure and data pipelines, enabling real-time analytics and AI-ready architecture for high-performance business applications.

This is a hybrid position — you will be expected to work from the Warsaw office at least 3 days per week.

Key Responsibilities

Design, develop, and deploy Python-based ETL pipelines using Airflow and Prefect
Build and optimize data warehouse structures for analytics, OLAP, and dimensional modeling
Model AI-compatible DB schemas and ontologies for future-facing analytics
Migrate and transform structured, semi-structured, and unstructured data using DBT and Pandas
Work with streaming / event-driven architectures for real-time data processing
Optimize pipeline performance and scalability for large data volumes
Ensure data quality, validation, cleansing, and graceful error handling
Perform code reviews to ensure standards, scalability, and best practices
Collaborate with DevOps on CI / CD and automated release pipelines
Implement data governance, security, and observability across ETL processes

Key Requirements

5+ years of experience designing and building enterprise-scale ETL pipelines

Strong Python skills, including use of Pandas for data processing

Proficient in SQL — writing complex queries and procedures across RDBMSes

Experience with Airflow, Prefect, or similar workflow orchestration tools

Solid understanding of data warehousing (OLTP, OLAP, Facts & Dimensions)

Familiarity with cloud-based data platforms such as RDS, Redshift, or Snowflake

Knowledge of cloud data architectures, messaging systems, and scalable design

Hands-on experience with code versioning, deployment automation, and CI / CD

Preferred Qualifications

Experience with Docker, Kubernetes, AWS Lambdas, Step Functions

Exposure to Databricks, PySpark, and advanced distributed data processing

Cloud certifications are a plus

What’s Offered

B2B contract with monthly compensation up to $7,000

Strong career growth opportunities in a global fintech environment

High-impact projects in a fast-growing sector

Friendly, open, and ambitious team culture

Hybrid model – minimum 3 days / week in the Warsaw office

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Cloud Data Engineer • Warsaw, Masovian Voivodeship, PL