Senior Data Engineer (Databricks+Azure)Poland, Croatia, Argentina, Ukrainedb\\Bi.

Eleks

Argentina

À distance

ARS 138 361 000 - 230 602 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Customer collaboration
Challenging tasks
Influence technologies
Professional team
Dynamic environment

Résumé du poste

ELEKS is seeking a Senior Data Engineer to join a global analytics team. You will design and maintain data pipelines and lakehouse solutions using Databricks and Azure Data Factory, collaborating with backend engineers and cross‑functional partners.

Join a dynamic environment with a strong engineering culture, mentoring teammates and shaping the data platform for the insurance domain. Remote/office options across multiple regions are available.

Qualifications

  • 5+ years of experience in data engineering.
  • Hands-on experience with Databricks.
  • Hands-on experience with Azure Data Factory.
  • Experience working with Azure Data Platform.
  • Experience designing and maintaining data pipelines and lakehouse solutions.
  • Experience leading technical initiatives and mentoring engineers.
  • Strong SQL knowledge is a plus.
  • Upper-Intermediate or higher level of English.

Responsabilités

  • Drive the technical direction of the platform’s data engineering solutions and architecture
  • Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks
  • Collaborate with Backend engineers to design data models and integration solutions
  • Analyze requirements, review technical designs, and contribute to solution estimations
  • Optimize the performance, scalability, and reliability of data solutions
  • Mentor engineers and promote engineering best practices across the team

Connaissances

Data engineering
Mentoring engineers
Cross-functional collaboration
SQL knowledge

Outils

Databricks
Azure Data Factory
Azure Data Platform

Description du poste

ELEKS is looking for a Senior Data Engineer in Ukraine, Poland, Croatia, or Argentina.

ABOUT PROJECT

Our client is one of the world’s leading insurance brokers. As part of an international engineering team, you will contribute to the development of a modern analytics platform that aggregates data from multiple external providers and delivers insights to support business decision-making in the insurance and reinsurance domain.

REQUIREMENTS
  • 5+ years of experience in Data Engineering
  • Strong hands-on experience with Databricks
  • Strong hands-on experience with Azure Data Factory
  • Experience working with Azure Data Platform
  • Experience designing and maintaining data pipelines and Lakehouse solutions
  • Experience leading technical initiatives, mentoring engineers, and collaborating with cross-functional teams
  • Strong SQL knowledge is a plus
  • Upper-Intermediate or higher level of English
RESPONSIBILITIES
  • Drive the technical direction of the platform’s data engineering solutions and architecture
  • Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks
  • Collaborate with Backend engineers to design data models and integration solutions
  • Analyze requirements, review technical designs, and contribute to solution estimations
  • Optimize the performance, scalability, and reliability of data solutions
  • Mentor engineers and promote engineering best practices across the team
WHAT YOU WILL GET WITH ELEKS
  • Close cooperation with a customer
  • Challenging tasks
  • Ability to influence project technologies
  • Team of professionals
  • Dynamic environment with low level of bureaucracy
ABOUT

ELEKS is a custom software development company. We deliver value to our clients, thanks to our expertise and experience gained from working as a software innovation partner since 1991.

Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe and North America, provide our clients with a full range of software engineering services. These include product development, QA, R&D, design, technology consulting and dedicated teams.

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