Senior Data/MLOps Engineer

Yalantis Limited; Warszawa; On-site; PLN 240,000 - 320,000; Full time

Job summary

A software engineering and consulting firm is seeking a Data Engineer in Warsaw, Poland. This role involves designing data pipelines, implementing DevOps solutions, and optimizing workflows. Candidates should have over 4 years of experience in data engineering, strong skills in Python and AWS services, and the ability to work collaboratively across teams. Competitive benefits and a supportive work environment are offered.

Benefits

Professional growth opportunities

Medical insurance

Community and knowledge-sharing events

Flexible work format

Sport reimbursement

Qualifications

• 4+ years in data engineering, dataOps, or ML engineering and DevOps.
• Deep expertise in AWS services like S3, Glue, EMR, and Kinesis.
• Strong coding ability in Python and SQL, plus distributed frameworks.

Responsibilities

• Design and build robust data pipelines and architectures.
• Implement AWS-native DevOps solutions with IaC.
• Tune data workflows for cost efficiency and reliability.

Skills

Data engineering

AWS services

Python

SQL

MLOps

Data modeling

IaC

Tools

Terraform

AWS Glue

AWS Redshift

Job description

Yalantis is a software engineering and IT consulting company in the outsourcing market. Our team has more than 500 specialists and continues to grow. Join and cooperate with us in Dnipro, Kyiv, Larnaca (Cyprus), Warsaw (Poland) and remotely from any city of Ukraine.

What You’ll Do

• Engineer atScale Across Projects — Design and build robust data pipelines, warehouses, and streaming architectures for diverse client needs onAWS.
• Automate Everything — Implement AWS-native DevOps solutions with IaC (Terraform/CloudFormation), CI/CDpipelines, and container orchestration (EKS/ECS).
• Optimize Performance — Tune data, ML, and agenticAI workflows for cost efficiency, reliability, and speed inclient environments.
• Cross-team communication — translating technical vision into practical, production-ready solutions.
• Mentor & Elevate — Share best practices across engineering teams and help customers build their internal cloud and AI capabilities.

What We’re Looking For

• 4+years indata engineering and dataOps orML engineering and DevOps.
• Deep expertise inAWS services such asS3, Glue, EMR, Redshift, Lambda, Kinesis, SageMaker, Bedrock, ECS/EKS.
• Strong coding ability inPython and SQL, plus distributed data frameworks (Spark, Hadoop, Flink).
• Hands-on experience with MLOps (model deployment, versioning, monitoring, CI/CD for ML).
• Proven skills with IaC (Terraform/CloudFormation) and modern DevOps pipelines.
• Strong knowledge ofdata modeling, warehousing, and ETL/ELT design.
• Upper-intermediate level ofEnglish.

Nice to have

• Experience building agentic AIor autonomous workflows using LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, orsimilar).
• Comfortable switching between projects, clients, and domains, adapting quickly todiverse business problems.
• Professional growth: Individual development plan, mentorship, reimbursement for professional certifications and English lessons, access toprofessional courses inCorporate Learning Management System
• Community: Tech community and knowledge-sharing events, English speaking club, corporate library and book club, volunteering and charity initiatives
• Wellbeing: Medical insurance, regular medical check-ups, sport reimbursement, paid vacation and sick leave, mental health support and events
• Work environment: Fully-equipped offices, top-notch equipment, flexible work format, activities both in-office and online, Y-bucks and access to the Yalantis store

Please note that feedback with the results oftheCV review will beprovided only inthe event ofadecision toconsider your candidacy further. Otherwise, your data will beretained inthe company’s CVdatabase, and wewill gladly contact you ifasuitable vacancy becomes available. The consideration period is7working days