System Specialist (M/F)

Arche Consulting Sp. z o.o.; Kraków; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Life insurance

Training and certification programs

Inclusive culture

Employee referral program

Collaborative environment

Job summary

Arche Consulting Sp. z o.o. in Kraków seeks an experienced professional to automate operations, build Python-based data processing solutions, and design AI/LLM–driven tools to support business workflows.

You will translate business requirements into practical technical solutions, build dashboards, and collaborate with engineering and business teams. Strong analytical and communication skills, plus English at B2 level, are required.

Qualifications

• 3+ years of professional experience in software development, automation, data, technical operations or related area.
• strong hands-on experience with Python development and automation, including scripting and data processing with NumPy and Pandas.
• solid SQL skills and experience with complex data queries and datasets.
• practical experience creating dashboards and data visualizations using Power BI, Tableau, Looker or similar platforms.
• hands-on experience with AI and LLM-based solutions, including prompt engineering, RAG pipelines, AI agents or comparable applications.
• familiarity with PySpark, TensorFlow or other data and machine learning technologies would be an advantage.
• experience with PLX is not required, and candidates with experience in other enterprise dashboarding and reporting tools are welcome,
• previous exposure to GIS, QGIS or geospatial data would be a plus, but is not required,
• ability to understand business requirements and translate them into practical technical solutions.
• strong analytical and problem-solving skills with a proactive and independent approach.
• good communication skills and the ability to collaborate with both technical and non-technical teams.
• English at B2 level or higher.

Responsibilities

• work closely with operational and business teams to understand their needs and identify opportunities for automation and process improvement.
• develop and maintain Python-based automation, scripts and data processing solutions.
• design, test and improve AI/LLM-based tools that support operational workflows and data-related processes.
• use prompt engineering and other AI techniques to improve the accuracy and effectiveness of developed solutions.
• work with SQL and various data sources to investigate issues, analyse data and support operational processes.
• create and maintain dashboards and visual reports to monitor workflows, identify recurring issues and support decision-making.
• investigate and resolve complex operational and technical issues, including identifying root causes and coordinating their resolution.
• cooperate with Engineering and other technical teams by testing solutions, documenting findings and providing structured feedback.
• prepare documentation describing requirements, proposed improvements and the impact of implemented solutions.
• support configuration and maintenance of tools and workflows used by operational teams.
• provide backup support for day-to-day locality and data-related activities when required.

Skills

Python development

Automation

SQL

Data visualization

AI/LLM tooling

NumPy/Pandas

Power BI/Tableau/Looker

Prompt engineering

PySpark

English (B2+)

Tools

Power BI

Tableau

Looker

NumPy

Pandas

PySpark

TensorFlow

GIS (QGIS)

APIs

Job description

our Client ranks at the top of the leading companies providing services at the highest level, allowing us to build modern and efficient businesses. The client's objective is to change business operational and technological models and adapt them to a rapidly changing world.

Responsibilities

• 3+ years of professional experience in software development, automation, data, technical operations or a related area,
• strong hands-on experience with Python development and automation, including scripting and data processing with tools such as NumPy and Pandas,
• solid SQL skills and experience working with complex data queries and datasets,
• practical experience creating dashboards and data visualizations using tools such as Power BI, Tableau, Looker or similar platforms,
• hands-on experience with AI and LLM-based solutions, including prompt engineering, RAG pipelines, AI agents or comparable applications,
• familiarity with PySpark, TensorFlow or other data and machine learning technologies would be an advantage,
• experience with PLX is not required, and candidates with experience in other enterprise dashboarding and reporting tools are welcome,
• previous exposure to GIS, QGIS or geospatial data would be a plus, but is not required,
• ability to understand business requirements and translate them into practical technical solutions,
• strong analytical and problem-solving skills with a proactive and independent approach,
• good communication skills and the ability to collaborate with both technical and non-technical teams,
• English at B2 level or higher.

Requirements

• work closely with operational and business teams to understand their needs and identify opportunities for automation and process improvement,
• develop and maintain Python-based automation, scripts and data processing solutions,
• design, test and improve AI/LLM-based tools that support operational workflows and data-related processes,
• use prompt engineering and other AI techniques to improve the accuracy and effectiveness of developed solutions,
• work with SQL and various data sources to investigate issues, analyse data and support operational processes,
• create and maintain dashboards and visual reports to monitor workflows, identify recurring issues and support decision-making,
• investigate and resolve complex operational and technical issues, including identifying root causes and coordinating their resolution,
• cooperate with Engineering and other technical teams by testing solutions, documenting findings and providing structured feedback,
• prepare documentation describing requirements, proposed improvements and the impact of implemented solutions,
• support configuration and maintenance of tools and workflows used by operational teams,
• provide backup support for day-to-day locality and data-related activities when required.

• life insurance,
• training and certification programs,
• inclusive culture,
• employee referral program,
• collaborative and innovative work environment.