Senior Data Engineer

RocketJobs; Wrocław; Hybrid; PLN 193,000 - 248,000; Full time

Benefits offered by this job

Remote-first

Flexible hours

Integration trips

Job summary

Cloudfide Sp. z o.o. is hiring a Senior Data Engineer in Wrocław to design, build, and scale cloud data platforms. You will collaborate with stakeholders to shape architecture, implement scalable data pipelines, and promote best engineering practices across teams.

You will work with Databricks, Spark, and modern data architectures in an Azure-first environment, with cross-cloud exposure. The role emphasizes ownership, mentorship, and staying ahead with emerging data technologies.

Qualifications

• 4+ years of hands-on experience as a Data Engineer or similar role.
• 2+ years of experience with cloud platforms (Azure preferred, AWS/GCP valuable).
• Strong Python and SQL proficiency for production data pipelines and data models.

Responsibilities

• Design and implement scalable, production-grade data pipelines and data models in cloud environments.
• Lead the technical design of cloud data architectures and platform standards.
• Drive data quality, observability, and automation across CI/CD pipelines.

Skills

SQL

Python

Databricks

Azure

PySpark

English (B2)

Tools

Apache Spark

Airflow

Terraform

GitHub Actions

Azure DevOps

Job description

# Senior Data EngineerBI & Data-, Wrocław +4 Lokalizacje## CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄPraca CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄKontrakt B2BB2BStarszy specjalista / SeniorZdalnie### Opis stanowiska**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 organisations. 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.**Your Responsibilities*** 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.**What We’re Looking For*** **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.**Nice to Have*** 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.**Why You’ll Love Cloudfide*** **Professional Growth:** + Access to top e‐learning platforms and development budget + Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally* **Work Environment:** + Long-term collaboration via B2B - we value lasting partnerships + Remote-first + Flexible hours + 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**Equal opportunities**CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.### Wymagane umiejętności#### SQL#### Python#### Databricks#### Azure#### PySpark### Znajomość języków#### Angielski: B2### Lokalizacja biura* WarszawaJana Nowaka-Jeziorańskiego 53A* Wrocław* Katowice* Kraków* PoznańOferta dodana: 29.09.2026Senior Data Engineer140 - 180 PLNNetto za godzinę - B2BPodsumowanie ofertySenior Data Engineer-, WrocławCLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ140 - 180 PLNNetto za godzinę - B2BAplikując zgadzam się na przetwarzanie moich danych osobowych w celu przeprowadzenia procesu rekrutacyjnego. Informujemy, że administratorem danych jest Cloudfide sp.z o.o. z siedzibą w Warszawie, ul. Jana Nowaka-Jeziorańskiego 53A / 45 (dalej jako \"... WięcejThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.