Data Engineer with AI Focus

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 Data Engineer with AI Focus at Cloudfide, you will work on a production-grade GenAI project for a Fortune 500 client - at the intersection of data engineering and intelligent automation. Your foundation is data: Databricks, Unity Catalog, pipelines, and APIs. Your direction is AI: building agentic systems that automate complex, knowledge-driven processes end-to-end.

This role is designed for a Data Engineer who has already started moving toward GenAI - someone who knows Databricks well, has touched LangChain or LangGraph, and wants a project where that curiosity becomes a core part of the job, not a side experiment. You don't need to be a fully-fledged AI Engineer yet. You do need the drive to get there.

Expect a collaborative, AI-forward environment where thinking outside the box is encouraged and your proactivity is genuinely valued. You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth.

Your Responsibilities

• Building and maintaining data pipelines and workflows within the Databricks ecosystem, including Unity Catalog and Genie.

• Integrating with data catalog and metadata APIs (Unity Catalog, DDAPI, and similar) to support autonomous data workflows.

• Contributing to the development of GenAI agent skills - structured, reusable components that enable autonomous agents to execute complex processes reliably.

• Working with LangChain and/or LangGraph to support agentic pipeline development alongside the AI-focused members of the team.

• Collaborating across technical and non-technical disciplines - translating data and process logic into specifications that both engineers and stakeholders can work from.

• Operating with autonomy - identifying gaps, driving your workstream forward, and flagging blockers proactively.

• Leveraging AI tools in day-to-day work to continuously improve productivity and output quality.

What We're Looking For

• 2+ years of commercial experience as a Data Engineer, with strong hands-on Databricks and Python skills.

• Solid familiarity with the Databricks ecosystem - Unity Catalog, notebooks, pipelines, and data governance patterns.

• Active interest and early hands-on experience in GenAI or agentic development - LangChain, LangGraph, prompt engineering, or LLM integrations.

• Experience integrating with APIs - metadata APIs, data catalog APIs, or similar.

• Self-directed and proactive - comfortable navigating ambiguity and driving work without constant guidance.

• Ability to collaborate across disciplines and communicate clearly with both technical and non-technical stakeholders.

• Fluent English, able to collaborate effectively across international teams.

What This Role Is Not

This is not a pure data engineering position. If you're looking to stay exclusively in pipelines and ETL work with no interest in AI, this project will not be the right fit. We're looking for engineers who are genuinely curious about agentic systems and ready to grow in that direction.

Nice to Have

• Exposure to Genie or similar AI-assisted data interfaces within Databricks.

• Familiarity with data publication workflows or data catalog platforms (CDL or equivalent).

• Knowledge of data governance concepts and metadata management.

• Experience working in large enterprise data ecosystems.

• Any completed GenAI projects - even personal or experimental ones count.

Here's why you'll love Cloudfide

• Benefits:

  • MyBenefit platform / Multisport

  • Enel‑Med private medical care

• Professional Growth:

  • Annual 2,000 PLN development budget

  • Access to e‑learning platforms

  • Real opportunities to expand responsibility and lead initiatives — most of our Leads come from internal promotions

  • As the company continuously grows, you get real opportunities to expand your responsibilities, explore new areas, and even take ownership of your own initiatives.

• Work Environment:

  • Long-term cooperation: UZ or B2B (we value stable, lasting relationships)

  • Remote-first, work from anywhere in the world (workation)

  • Flexible hours & strong focus on work-life balance

  • Collaboration with top engineers you can truly learn from

  • Flat structure — every voice counts, and you help shape the company

• Culture & Integration:

  • Company-wide trips (including international ones)

  • Team integration budgets

  • Open communication and supportive, passionate teams

Equal Opportunities

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