Senior Data Engineer
CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Warszawa, Praga-Południe
140–180 zł netto (+ VAT) / godz.
Wymagania
- Microsoft Azure
- Google Cloud Platform
- AWS
- Python
- SQL
- PostgreSQL
- Microsoft SQL Server
- Apache Spark
- Azure DevOps
- Apache Airflow
- Databricks
Opis stanowiska
Nasze wymagania:
4+ years of hands-on experience as a Data Engineer or in a closely related engineering role.
2+ years experience working with cloud platforms - we operate primarily in Azure, but AWS/GCP experience is equally valuable.
Strong Python skills - ability to write maintainable, production-ready code in distributed data environments.
Advanced SQL proficiency and experience with relational databases (SQL Server, PostgreSQL, etc.).
Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns (Lakehouse preferred).
Solid understanding of cloud architecture, networking fundamentals, security, APIs, and scalable systems.
Experience working with large-scale, high-volume datasets.
Strong ownership mindset, creativity, and openness to innovation.
Ability to operate autonomously and drive initiatives in dynamic, evolving cloud projects.
Mile widziane:
Experience with Databricks, Apache Spark, PySpark (big advantage).
Hands-on knowledge of Apache Airflow or other orchestration tools.
Experience with Azure DevOps or GitHub Actions for CI/CD.
Familiarity with infrastructure as code (Terraform/Bicep).
Exposure to AI/ML pipelines or MLOps environments.
O projekcie:
Why Join Us
At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500.
We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures.
Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations.
As we continue to grow, you’ll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives.
Opportunity Overview
As a Senior Data Engineer, you will play a key role in designing, building, and scaling our clients’ cloud data platforms. You’ll work closely with technical and business stakeholders, influence architecture decisions, and drive best engineering standards across teams.
Expect cutting-edge cloud environments (Azure-first, with cross-cloud exposure), Databricks, Spark, robust CI/CD, and high-impact data solutions used across international organizations.
You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth.
Zakres obowiązków:
Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments.
Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy.
Driving best practices in data engineering: quality assurance, lineage, observability, testing, automation, documentation.
Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems.
Collaborating closely with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions.
Working with CI/CD pipelines, infrastructure-as-code, and automation (DataOps) to streamline deployments and operations.
Integrating data solutions with BI, ML, and application layers across diverse client environments.
Mentoring mid-level engineers, supporting them in technical growth (without formal line management).
Staying up-to-date with emerging technologies and proposing innovations to enhance platform capabilities.
Oferujemy:
Benefits:
MyBenefit / Multisport
Enel‑Med private medical care
Professional Growth:
Annual 2,000 PLN development budget
Access to top e‑learning platforms
Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally
Work Environment:
Long-term collaboration via UZ or B2B - we value lasting partnerships
Remote-first, work from anywhere in the world (full workation)
Flexible hours & healthy work-life balance
Work alongside exceptional engineers and experts
Flat structure where every person matters and influences the company
Culture & Integration:
Full-company integration trips (including international ones)
Team-level integration budgets
Open, supportive, and collaborative culture
4+ years of hands-on experience as a Data Engineer or in a closely related engineering role.
2+ years experience working with cloud platforms - we operate primarily in Azure, but AWS/GCP experience is equally valuable.
Strong Python skills - ability to write maintainable, production-ready code in distributed data environments.
Advanced SQL proficiency and experience with relational databases (SQL Server, PostgreSQL, etc.).
Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns (Lakehouse preferred).
Solid understanding of cloud architecture, networking fundamentals, security, APIs, and scalable systems.
Experience working with large-scale, high-volume datasets.
Strong ownership mindset, creativity, and openness to innovation.
Ability to operate autonomously and drive initiatives in dynamic, evolving cloud projects.
Mile widziane:
Experience with Databricks, Apache Spark, PySpark (big advantage).
Hands-on knowledge of Apache Airflow or other orchestration tools.
Experience with Azure DevOps or GitHub Actions for CI/CD.
Familiarity with infrastructure as code (Terraform/Bicep).
Exposure to AI/ML pipelines or MLOps environments.
O projekcie:
Why Join Us
At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500.
We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures.
Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations.
As we continue to grow, you’ll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives.
Opportunity Overview
As a Senior Data Engineer, you will play a key role in designing, building, and scaling our clients’ cloud data platforms. You’ll work closely with technical and business stakeholders, influence architecture decisions, and drive best engineering standards across teams.
Expect cutting-edge cloud environments (Azure-first, with cross-cloud exposure), Databricks, Spark, robust CI/CD, and high-impact data solutions used across international organizations.
You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth.
Zakres obowiązków:
Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments.
Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy.
Driving best practices in data engineering: quality assurance, lineage, observability, testing, automation, documentation.
Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems.
Collaborating closely with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions.
Working with CI/CD pipelines, infrastructure-as-code, and automation (DataOps) to streamline deployments and operations.
Integrating data solutions with BI, ML, and application layers across diverse client environments.
Mentoring mid-level engineers, supporting them in technical growth (without formal line management).
Staying up-to-date with emerging technologies and proposing innovations to enhance platform capabilities.
Oferujemy:
Benefits:
MyBenefit / Multisport
Enel‑Med private medical care
Professional Growth:
Annual 2,000 PLN development budget
Access to top e‑learning platforms
Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally
Work Environment:
Long-term collaboration via UZ or B2B - we value lasting partnerships
Remote-first, work from anywhere in the world (full workation)
Flexible hours & healthy work-life balance
Work alongside exceptional engineers and experts
Flat structure where every person matters and influences the company
Culture & Integration:
Full-company integration trips (including international ones)
Team-level integration budgets
Open, supportive, and collaborative culture
🔍 Dekoder Ogłoszenia
🔴
Ability to operate autonomously and drive initiatives in dynamic, evolving cloud projects.
Oczekuje się, że będziesz samodzielnie rozwiązywać problemy i podejmować decyzje bez ciągłego nadzoru, w szybko zmieniającym się środowisku.
🔴
Strong ownership mindset, creativity, and openness to innovation.
Oczekuje się od Ciebie przejmowania pełnej odpowiedzialności za swoje zadania i aktywnego poszukiwania nowych, lepszych rozwiązań, często bez jasno zdefiniowanych ścieżek.
🟡
we operate primarily in Azure, but AWS/GCP experience is equally valuable.
Chociaż głównym środowiskiem jest Azure, nie wyklucza się pracy z innymi chmurami, co może oznaczać potrzebę szybkiego przełączania się między technologiami lub pracy nad projektami hybrydowymi.
🔴
Experience with Databricks, Apache Spark, PySpark (big advantage).
Chociaż jest to 'duża zaleta', a nie wymóg, brak tego doświadczenia może oznaczać, że będziesz musiał szybko nadrobić zaległości lub że projekty będą intensywnie wykorzystywać te technologie.
🟡
Nasze wymagania:
Lista wymagań jest punktem wyjścia, a faktyczne oczekiwania mogą być szersze lub bardziej szczegółowe w zależności od potrzeb projektu.