Data & AI Engineer

Unit8

. Work on diverse areas including cloud engineering and infrastructure, data engineering and ETL, machine learning, and data science .

Posted 10/8/2026full-timeKraków • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud engineering, data engineering, and machine learning, with a strong foundation in software engineering principles. Capable of effectively communicating complex concepts to diverse audiences and collaborating within multifunctional agile teams.

Highest-signal resume keywords

Cloud TechnologiesPython ProgrammingMachine Learning ApplicationData EngineeringClient-Facing Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringStatistical MethodsETL ProcessesContinuous IntegrationData Systems ImplementationAgile MethodologiesVersioningData EvolutionR ProgrammingScala Programming

Soft Skills

Good Presentation SkillsCommunication SkillsTeamworkPragmatic AttitudeClient Interaction

Certifications & Qualifications

MSc in Computer ScienceMSc in Machine LearningMSc in Applied StatisticsMSc in Mathematics

Industry Keywords

Data ScienceProof-of-ConceptsBusiness ProblemsTechnical AudiencesNon-Technical Audiences

Tech Stack

Tools & technologies

CloudETLJavaPythonScala

About the role

Key responsibilities & impact

Work on diverse areas including cloud engineering and infrastructure, data engineering and ETL, machine learning, and data science
Work with customers to understand their challenges and design and implement solutions
Evaluate, compare, and present results to technical and non-technical audiences
Contribute to systems implementation and engineering from small proof-of-concepts to larger end-to-end data systems
Collaborate with data scientists, software engineers, and business stakeholders
Apply software best practices in continuous integration and delivery, versioning, and data evolution
Work in multifunctional agile teams to experiment, iterate, and deliver new product objectives

Requirements

What you’ll need

MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience
Proficient software engineer with fundamentals of computer science
Experience applying a blend of software engineering, machine learning, and statistical methods to real-world business problems
Programming experience in Python, R, Scala, or Java
Experience with cloud technologies
Pragmatic attitude and willingness to take an active part in engineering aspects of projects
Good presentation and communication skills
Ability to explain complex analytical concepts to people from other fields
Understanding of teamwork
Strong client-facing skills and comfort interacting with business and technical audiences
Willingness to travel to meet clients and the team, mainly in Europe, up to 20% of the time
Fluent French or/and German

Benefits

Comp & perks

Opportunity to shape the expansion of leading Swiss data & AI consultancies
Compensation package including base salary, yearly bonus based on the both individual + company performance
Above the norm flexibility regarding when and from where you work as long as both client and internal commitments are met
Work on cutting-edge data, AI & analytics topics (e.g., Generative AI) that have real impact across industries
Dedicated time and budget for training and pro-bono projects
30 paid days off
Private health care and Multisport
Cross offices/company-wide frequent events (off-site or online)
Quarterly budget to spend with the team on after-work activities