Senior Data Engineer

Sofia, Bulgaria (Hybrid)

KPMG IT Service OOD is an IT service provider with a mission to digitalize the core business of the KPMG network member firms and their clients. We employ about 500 people in Sofia and deliver the full spectrum of IT services to our clients, including SAP solutions, Software Engineering, Application & Platform Operations, Cloud and Infrastructure.

Our Cloud Services unit is focused on designing, building, securing and managing cloud native & hybrid platforms for the KPMG group of member firms, as well as providing cloud advisory and engineering services to external clients.

We are looking for an experienced professional with several years of project experience building data-intensive solutions and proven project experience with ETL tools. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Your responsibilities:

  • Assist clients to transform their business and solve complex problems by defining the scope and vision for projects that deliver customized solutions
  • Implement solutions that are aligned with the KPMG security and data integrity enterprise standards
  • Build large-scale high-performing data solutions
  • Utilize data warehouses and data lakes
  • Troubleshoot performance-related issues
  • Identify ways to improve data reliability, efficiency and quality
  • Build solutions to gain optimal insights from diverse data by leveraging machine learning and AI
  • Leverage cloud services and implement data analytics solutions in the cloud
  • Build constructive working relations across teams, functions and cultures and demonstrate KPMG behaviors and values
  • Consult and escalate operational issues and challenges beyond own experience or skillset
  • Contribute to the necessary documentation

What you bring in:

  • Good knowledge of at least one cloud technology with a focus on database and data warehouse technologies, databases, and data-related technologies in the cloud
  • Must have experience with: Data Lake Technologies (Apache Spark, Azure Synapse or Databricks), Python/ PySpark, MS-SQL
  • Ideally to have experience with: DevOps, MS Azure, Data Modelling (Data Vault, Analytical Data Modelling)
  • Very good experience with data storage and retrieval
  • Good knowledge of at least one modern data warehousing technology
  • Knowledge of data lake technologies and optimized storage formats
  • Proven presentation and communication skills. Proven leadership and problem-solving skills. Highly motivated and result-oriented
  • Fluent in English, German is an advantagе

What we offer:

  • The chance to work in a top talent team
  • Attractive remuneration
  • Build knowledge in cutting-edge technologies
  • Opportunity for continuous training, learning and certification
  • Experience in an international and multicultural organization
  • Work on challenging projects with clients in various industries around the globe
  • Modern office environment
  • Additional health insurance
  • Life insurance
  • 50+ benefits and services to choose from
  • Hybrid working policy

Senior Data Engineer

Job description

Senior Data Engineer

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