Senior Data/AI engineer

Luxoft Poland; Polska; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

LuxMed health and dental

Life and travel insurance

MyBenefit program

Employee assistance program

Car rental options

Job summary

Luxoft Poland is seeking a senior data engineering professional to design, build, and scale reusable platform capabilities and data products that enable quantitative researchers to discover, access, and consume data across a complex landscape. You will accelerate prototypes to production while improving data quality, reliability, and monitoring.

The role emphasizes an AI-first approach, building AI-enabled production solutions and collaborating across stakeholders.

Qualifications

• 10+ years of professional software development, including 5+ years of data engineering.
• Advanced proficiency in Python, including experience building scalable backend services and data processing solutions.
• Strong hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures.
• Experience with relational databases and modern data storage technologies, including graph, vector, or analytical data platforms.
• Practical experience building and deploying AI/LLM-enabled applications in production environments.
• Experience with LangGraph, LangChain, agentic workflows, or orchestration frameworks for AI applications; evaluations.
• Familiarity with modern AI tooling and workflows, including and AI-assisted software engineering practices.
• Strong communication skills and ability to interact efficiently with various stakeholder groups including business users.

Responsibilities

• Design, build, and enhance data pipelines and integration frameworks supporting AI, analytics, and business applications.
• Improve data quality, reliability, lineage, and monitoring.
• Implement AI first approach: use AI agents as a primary tool to design, build, test, and support solutions
• Collaborate closely with business stakeholders, product managers, and engineering teams to translate business objectives into technical solutions.

Skills

Python

Data engineering

Data pipelines

AI/LLM applications

LangChain/LangGraph

AWS

Databricks/Spark

SQL/Databases

Communication

Tools

AWS ECS Fargate

AWS Lambda

AWS SQS

Terraform

AWS CDK

Job description

Build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototypes to production.

• Design, build, and enhance data pipelines and integration frameworks supporting AI, analytics, and business applications.
• Improve data quality, reliability, lineage, and monitoring.
• Implement AI first approach: use AI agents as a primary tool to design, build, test, and support solutions
• Collaborate closely with business stakeholders, product managers, and engineering teams to translate business objectives into technical solutions.

Mandatory Skills Description:

• 10+ years of professional software development, including 5+ years of data engineering experience.
• Advanced proficiency in Python, including experience building scalable backend services and data processing solutions.
• Strong hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures
• Experience working with relational databases and modern data storage technologies, including graph, vector, or analytical data platforms.
• Practical experience building and deploying AI/LLM-enabled applications in production environments.
• Experience with LangGraph, LangChain, agentic workflows, or orchestration frameworks for AI applications; evaluations.
• Familiarity with modern AI tooling and workflows, including and AI-assisted software engineering practices.
• Strong communication skills and ability to interact efficiently with various stakeholder groups including business users.

Nice-to-Have Skills Description:

• Experience with Databricks, Spark, Delta Lake, or similar modern data engineering platforms.
• Experience designing enterprise data lakes, lakehouses, or large-scale analytical platforms.
• Domain experience within Investment Management, Asset Management, Capital Markets, or Financial Services.
• Strong understanding of Fixed Income products and related investment workflows. Candidates with significant Fixed Income domain expertise will be considered highly valuable.
• Experience with Aurora, Neptune, and other AWS data services.
• Strong hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures.
• Experience architecting, provisioning, and managing production infrastructure on AWS, including services such as ECS Fargate, Lambda, SQS, and related cloud-native technologies.
• Experience defining cloud architecture programmatically using Infrastructure-as-Code (IaC) tools such as AWS CDK or Terraform.

Our Benefits:

• Stable employment based on an employment contract
• Copyright-based remuneration for Developers, resulting in a higher net salary
• LuxMed private health and dental care
• Life and travel insurance
• MyBenefit program (sports card, well-being initiatives, and more)
• Employee Assistance Program for you and your family, including psychological consultations, coaching sessions, and support in personal matters
• Car rental options

Learning & Development

• Access to the LuxTalent platform, offering webinars, training sessions, and certified courses
• Internal Mobility Program, enabling rotation between projects, locations, and accounts