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Senior Data Engineer (AI Focus) remote from Poland

Virtusa

Role overview

Qualifications

  • Proficiency in Python and SQL. Experience with Java or Scala is a plus.
  • Hands-on experience with frameworks like Apache Spark, Flink, or Kafka.
  • Experience supporting AI projects.
  • Comfortable with Terraform or Docker/Kubernetes to manage data environments.

Responsibilities

  • Design and scale data architectures specifically tailored for Machine Learning lifecycles.
  • Architect, build, and maintain robust ETL/ELT pipelines.
  • Implement automated testing and monitoring for data integrity.

Key facts

Hard skills

Other skills

  • Teamwork
  • Problem Solving

About the company

Virtusa logo

Virtusa

Virtusa Corporation is a global provider of Digital Business Transformation, Digital Engineering, and Information Technology (IT) outsourcing services that accelerate our clients’ journey to their Digital Future. Virtusa serves Global 2000 companies in Banking, Financial Services, Insurance, Healthcare, Telecommunications, Media, Entertainment, Travel, Manufacturing, and Technology industries. Using a combination of digital strategy, digital engineering, business implementation, and IT platform modernization services, Virtusa helps clients execute successful end-to-end digital business transformation initiatives. Virtusa engages its clients to re-imagine their business models and develop strategies to defend and grow their business by introducing innovative products and services, developing distinctive digital consumer experiences, creating operational efficiency using digital labor, developing operational and IT platforms for the future, and rationalizing and modernizing their existing IT applications infrastructure. As a result, its clients are simultaneously able to drive business growth through digital-first customer experiences, while also consolidating and modernizing their IT application infrastructure to support digital business transformation. Holding a proven record of success across industries, Virtusa readily understands its clients' business challenges and uses its domain expertise to deliver innovative applications of technology to address its clients’ critical business challenges. Examples include building the world's largest property & casualty claims modernization program; one of the largest corporate customer portals for a premier global bank; an order to cash implementation for a multinational telecommunications provider; and digital transformation initiatives for media and banking companies. Founded in 1996 and headquartered in Massachusetts, Virtusa has operations in North America, Europe, and Asia.

Company details

Company size10001

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Job description

This is a remote position.

Virtusa helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality.

We are looking for experienced team players to fill the position of Senior Data Engineer (AI Focus) and participate in our up-and-coming project for our client from the high-tech area. This is a project for consultants working remotely from Poland. 

You can expect:

  • AI Data Infrastructure: Design and scale data architectures specifically tailored for Machine Learning (ML) lifecycles, including feature stores, vector databases, and model training pipelines.
  • Pipeline Engineering: Architect, build, and maintain robust ETL/ELT pipelines that handle structured and unstructured data with a focus on low latency and high reliability.
  • Data Governance & Quality: Implement automated testing and monitoring for data integrity, ensuring that "garbage in, garbage out" is never a reality for our AI models.


Requirements

  • Proficiency in Python and SQL. Experience with Java or Scala is a plus.
  • Big Data Tools: Hands-on experience with frameworks like Apache Spark, Flink, or Kafka.
  • AI/ML Familiarity: Experience supporting AI projects (e.g., handling embeddings, managing datasets for LLM fine-tuning, or working with tools like LangChain or LlamaIndex).
  • Infrastructure as Code: Comfortable with Terraform or Docker/Kubernetes to manage data environments.
Preferable skills:

  • BigQuery: Advanced optimization and partitioning strategies.
  • Vertex AI: Experience building and deploying data pipelines within the Vertex ecosystem.
  • Dataflow/Dataproc: Professional experience with managed Apache Beam or Spark services.
  • Building real-time event-driven architectures.
  • APIs: Understanding of REST APIs and microservices architecture.



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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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