Lead Data Engineer

Description

Full-time B2B

What we offer

• Benefits:MyBenefit / MultisportEnel‑Med private medical care

• MyBenefit / Multisport

• Enel‑Med private medical care

• Professional Growth:2,000 PLN development budget per yearAccess to premium e-learning platformsClear opportunities to take ownership, lead strategic work, and grow into broader leadership rolesInternal promotion culture - many Cloudfide leaders grew from engineering roles

• 2,000 PLN development budget per year

• Access to premium e-learning platforms

• Clear opportunities to take ownership, lead strategic work, and grow into broader leadership roles

• Internal promotion culture - many Cloudfide leaders grew from engineering roles

• Work Environment:Long-term partnership via UZ or B2BRemote-first, with the possibility to work from anywhere (full workation)Flexible hours and strong support for work-life balanceWork with top-tier engineers and domain expertsFlat structure - you directly shape the company’s engineering direction

• Long-term partnership via UZ or B2B

• Remote-first, with the possibility to work from anywhere (full workation)

• Flexible hours and strong support for work-life balance

• Work with top-tier engineers and domain experts

• Flat structure - you directly shape the company’s engineering direction

• Culture & Integration:Whole-company integration trips (including international ones)Integration budgets for project teamsOpen, supportive, and collaborative culture

• Whole-company integration trips (including international ones)

• Integration budgets for project teams

• Open, supportive, and collaborative culture

Opis roli

• As a Lead Data Engineer, you’ll take ownership of designing and scaling end‑to‑end cloud data platforms.You’ll work with clients, architects, engineers, and cross-functional partners to define robust technical solutions and ensure excellence across delivery.

• Expect modern cloud environments (Azure-first), full Databricks ecosystem, strong CI/CD, and impactful projects used across global organizations.

Wynagrodzenie

• undisclosed salary

Responsibilities

• Designing and owning cloud-native data architectures (lakehouse, distributed processing, data platforms).

• Leading technical decision-making: setting standards, defining patterns, reviewing solutions, and guiding long-term architecture.

• Building and optimizing scalable, production-ready data pipelines and large-scale processing systems.

• Working closely with clients and senior stakeholders to understand business needs and translate them into technical direction.

• Driving engineering excellence: quality frameworks, observability, lineage, testing, documentation, performance.

• Identifying architectural gaps and leading modernization & optimization initiatives.

• Setting direction for technical roadmaps and ensuring platform scalability, reliability, and maintainability.

• Providing technical leadership to engineers: mentoring, reviewing code, guiding design decisions (formal leadership experience not required).

• Supporting integrations with BI, ML, and platform engineering teams.

• Bringing in new technologies, methodologies, and innovations to elevate technical capabilities.

Sekcja why join us

• At Cloudfide, we build and scale solutions where data becomes a strategic asset and a catalyst for innovation. We engineer large-scale Big Data and cloud-native platforms for international clients, including leading companies in retail and the Fortune 500.

• We work entirely in the cloud ecosystem, process massive real-time datasets, and leverage the latest technologies, including Databricks, Spark, AI/ML, and modern MLOps frameworks.

• Our projects drive meaningful impact - improving global digital products and powering high-visibility business decisions.As we continue to grow, you’ll have the opportunity to shape architectures, influence technical direction, mentor engineers, and lead complex initiatives.

Sekcja nice to have

• Hands-on experience with Databricks, Spark, PySpark.

• Experience with Airflow or similar orchestration tools.

• Experience with Azure DevOps or GitHub Actions (CI/CD).

• Exposure to AI/ML pipelines, feature stores, or MLOps tooling.

• Experience leading technical delivery across distributed teams.

Informacje dodatkowe

• Cloudfide is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Sekcja what we re looking for

• 4+ years of hands-on experience as a Data Engineer, working on complex or large-scale cloud data environments.

• Proven technical leadership experience - formal or informal - such as guiding other engineers, owning components, leading delivery, or driving architecture.

• Strong experience with cloud platforms - we use Azure, but AWS/GCP experience is equally valuable.

• Advanced Python skills - writing clean, maintainable, production-ready code for distributed systems.

• Strong SQL knowledge and experience with analytical + transactional databases.

• Deep understanding of DWH modeling, ETL/ELT, and modern data architectures (Lakehouse, Medallion, streaming).

• Solid understanding of cloud architecture, networking fundamentals, security, scalability, and cost optimization.

• Experience with large-scale or high-throughput data processing.

• Strong communication skills and ability to work closely with business and technical stakeholders.

• Proactive mindset, problem‑solving attitude, and willingness to drive innovation.