🟠Senior Data/AI engineer🟠

🟠Join us in Luxoft!

🏦Flexible working hours

🩺Private Medical & Dental care & Life Insurance

💰 Paid Referrals

🏋🏽 ♀️ MyBenefit program (sports card, well-being program etc.)

🌎 Internal Mobility program - possibility of rotation between projects, locations, accounts

🎓 LuxTalent platform (webinars, training, courses)

🟠Project 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.

🟠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 required

- 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.

- Experience operating in agile delivery environments.

- Strong communication skills and ability to interact efficiently with various stakeholder groups including business users.

🟠What is nice to have

- 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.

🟠Languages

English: B2 Upper Intermediate

🟠Seniority

Senior

🟠Work mode

remote in Poland