Senior Data Engineer

Designing, implementing, and optimizing modern cloud-based solutions.
Building and launching new data models and data pipelines.
Implementing best practices in data engineering including data integrity, quality, and documentation.
Optimization of existing analytical solutions.
Leading small size teams of engineers and being a role model (optional).

4+ years of experience delivering complex data warehouse / data lake / business intelligence solutions.
2+ years of experience working with cloud services (Azure / GCP / AWS) - in Cloudfide you'll work with Azure.
Knowledgeable and experienced in Python.
Experience in SQL and data analysis, knowledge of relational databases (preferably SQL Server, PostgreSQL).
Knowledge of public cloud architecture, security, networking concepts and best practices (MS Azure preferred).
Knowledge of DWH data modeling practices and ETL/ELT development.
Conceptual and analytical skills – the ability to define, analyze and document complex business and technical requirements.

BENEFITS: Regardless of the form of employment - Budget for your professional development - training and certification. MyBenefit cafeteria (with Multisport). Medicover medical care. Team-building meetings and trips.
FLEXIBILITY: Enjoy the freedom of working from anywhere, and have a genuine say on our tools, tech, and solutions.
STABILITY: Stable and long-term employment (employment contract, B2B).
START-UP CULTURE: Open communication, creative problem solving and a flat hierarchy.
GROWTH: Skyrocket your career by exploring new territories – you can work on various projects related to Big Data and Cloud.
COLLABORATION: Be part of our diverse, passionate team, where every voice matters. Work in a company full of well-coordinated people who do their work with passion and commitment.

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