DXC Technology

Inżynier Danych/Data Engineer

Job description

Job Description

XC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of the Enterprise Services Business of Hewlett Packard Enterprise (HPE) and Computer Sciences Corporation (CSC), DXC serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally.

Analytics Global Delivery Poland, a large, growing delivery center located in Warsaw, offers high-quality Applications/Platforms Development and Management Services to DXC customers all over the world. The Center’s portfolio covers the full software lifecycle, including Business and Systems Analysis, Development, Quality Assurance, Project Management, Testing and Support. The main technology focus is on Cloud, Big Data, Business Intelligence, Web and mobile solutions, ERP and CRM systems. DXC invests in multiple certifications for its employees, both technical (eg. Microsoft Azure, AWS, GCP, Power BI, Tableau, Alteryx, SAP), and managerial (PMP, ITIL).

Currently, we are looking for

Data Engineer

Job location: Warsaw or remote (Poland)

The successful candidate will be part of a growing Analytics Team located in Poland, focusing on various Cloud, Big Data and Data Warehouse technologies, providing projects and services to international clients and teams from across the globe. He/she will participate in end-to-end project implementations delivered in a dynamic and young environment that encourages innovative solutions. We offer an opportunity to develop both in the technology and business areas.

We offer a job in heavily invested in the area. A place where you can learn, work with experts, share your knowledge, have occasions to enjoy many activities suitable for our Employees and their lifestyles.

What You Will Do
  • Take part in the delivery projects from broad analytics space:
  • ML Engineering – if you are skewed to Machine Learning and Data Science
  • Data Engineering – if you prefer to work on full-stack data-related projects
  • Data Warehousing – if you prefer to stick to SQL and DW concepts
  • Mix of all above
  • Deliver as an individual contributor or lead a project teamWork on Cloud environments
  • Exploring emerging technologies
What We Need You To Have (mandatory)
  • Strong data related background
  • Strong command of SQL OR Python
  • Problem-solving and analytical skills
  • Strong communication skills, ability to work directly with the client
Nice To Have
  • Azure experience
  • Strong SQL AND Python
  • BI experience
  • Java, Scala, Spark
  • MLOps concepts
  • GIT knowledge
  • Docker\Kubernetes
  • CI\CD Understanding
Tools We Use The Most
  • SQL, Python, Azure (ADF, SQL DB, Synapse, DataBricks, ML Services, AKS), MLFlow, Airflow
We Offer
  • modern and friendly work environment, independence, and flexible working hours (e.g. possibility of working from home)
  • full-time employment contract
  • package of social benefits, including private medical care, Multisport, sport communities, technical and soft skill training, life insurance and many others
  • Employee Assistance Program (providing help for employees in difficult life situations)
  • opportunity to be a part of a fast-growing, innovative, and high-performing organization within a truly global and multicultural organization
  • interesting and challenging projects, clear career progression path, and professional training enabling personal development and growth
  • professional technical and soft skill training (internal DXC University and certification program), opportunity to learn and evolve within a team of experienced colleagues
  • training and certifications opportunities provided by our DXC Partners: Microsoft, AWS, Google
Send us your CV! We are looking forward to speaking to you!


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