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Ernst & Young

Global professional services: audit, tax, consulting

Experienced Data Engineer

Data EngineeringUpdated on Nov 14
Full-timeAthens, GreeceNo salary listed

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in Computer Science, Mathematics, Engineering, or another related quantitative field.
  • At least 2 years of relevant professional experience.
  • Knowledge of Data Management concepts and methodologies.
  • Familiarity with at least one of Data Warehouse, Data Lake, Lakehouse, or Delta.
  • Working experience in complex data querying using SQL or Spark.
  • Experience designing and developing ETL or pipelines using industry tools such as Azure Data Factory, Databricks, Airflow, dbt, or Informatica Cloud Data Integration.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to investigate and try new tools and technologies.
  • Ability to perform under pressure and meet tight deadlines with precision and composure.
  • Good interpersonal skills and ability to work effectively within high-performing teams.
  • Confidence conveying technical advice and guidance to clients.
  • Evidence of self-motivation for continuous development.

Responsibilities

  • Develop scalable data pipelines for batch and streaming data workloads across cloud-native environments.
  • Build data transformations and integrations using data engineering languages such as Python and SQL and frameworks such as Spark or similar.
  • Collaborate with data architects and analysts to translate business needs into technical specifications and production-grade pipelines.
  • Apply best practices in data modeling, version control, code quality, and modular pipeline development.
  • Contribute to data platform modernization projects, ensuring robustness, reusability, and maintainability of the data engineering codebase.
  • Participate in client workshops, document technical requirements, and contribute to solution design discussions.
  • Support testing, deployment, and monitoring of data solutions in production environments.

Desired Qualifications

  • Experience with Cloud Data Platforms such as Snowflake, Azure, or AWS and streaming solutions such as Kafka.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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