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Senior Data Engineer with Azure



Data Science
Redmond, WA, USA
Posted on Friday, June 14, 2024

Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 740,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.

Our Technology Center solves industries and organizations’ most challenging problems with leading-edge technologies. Our Bulgarian Technology team is currently implementing complex global projects in a vast portfolio of industries – e-commerce, retail, insurance, banking, telecommunications, automotive, public sector, travel, and culture.

We are currently looking for a Senior Data Engineer with Azure with solid experienced in data engineering, machine learning and passion about Big Data. You will have the chance to join a newly created team of Data Engineers, Data Scientists and Data Analysts and be part of the growth and development of it, participate in a large variety of exciting and challenging projects and work with our exceptional team of Technology professionals.

The role is available for Sofia, Plovdiv, Varna, Burgas and Ruse.

To keep it short, below are some key responsibilities:

  • Development, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related instruments/instances
  • Create and run complex queries and automation scripts for operational data processing.
  • Test the reliability and performance of each part of a system and cooperate with the testing team
  • Deploying data models into production environments. This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.
  • Responsible for setting up tools to view data, generate reports, and create visuals
  • Monitoring the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change.
  • Mentor and train colleagues where necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices.
  • Solve complex issues with minimal supervision
  • Make improvement and process recommendations that have an impact on the business

Technology Stack Used & Required Knowledge:

  • Excellent understanding of ETL cycle
  • Experience in using of Python/ PySpark and/or Scala for data engineering.
  • Understanding of data types/ handling of different data models.
  • Desirable to have experience with Spark, Flink, Kafka, Flask, Apache Airflow, Hadoop, Kimball
  • Mastery of Azure Data Services such as Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL Database, Azure Cosmos DB, Azure Blob Storage/Data Lake Storage, and Azure Stream Analytics.
  • Expertise in designing scalable and efficient data architectures on Azure is a plus
  • Experience with data visualization tools is a plus (PowerBI, Tableau).
  • Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms is a plus.
  • Good scripting and programming skills.
  • Expertise in implementing data governance frameworks and ensuring compliance using Azure Purview. Familiarity with Azure Data Catalog for managing and discovering data assets.
  • Understanding of Azure Key Vault for secure key management.
  • Azure scripting with PowerShell/Azure CLI

The Rest of the qualities, you know them:

  • Leading and organizing teams of various sizes
  • Client Facing Skills
  • Travel Availability (short/long term)
  • Flexibility in using different technologies/ platforms
  • Ability to shift gears quickly and cope with change
  • Analytical & Detail Oriented
  • Confident, proactive and self-motivated
  • Disciplined and “Team first approach” oriented


  • Employee Assistance Program
  • Career Counselling
  • 25 days paid time off
  • Hybrid working regime
  • Options to buy shares
  • Relocation Bonus
  • Luxury health & dental insurance
  • Life insurance
  • Bonuses for special occasions
  • Certification
  • Food vouchers
  • Multisport cards
  • Fuel card/Public transport card

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.