A

AECOM

Global infrastructure consulting and program management

Data Engineering Specialist 3

Data EngineeringConfirmed live in the last 24 hours
Full-timeBucharest, RomaniaNo salary listed

About the Job

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 2+ years of experience in data engineering or related roles.
  • Strong programming skills in Python, Scala, or Java.
  • Hands-on experience with SQL and relational databases.
  • Experience designing and building batch and streaming data pipelines.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Proficiency with big data technologies such as Apache Spark, Hadoop, or Kafka.
  • Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse.
  • Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
  • Proficiency in data programming languages.
  • Knowledge of data optimization tools, data structures and architecting, and data warehousing solutions.
  • Knowledge of API support for data access, gathering, and distribution; data transformation; and extract, load, transform processes.

Responsibilities

  • Develop, construct, test, and maintain databases and large-scale processing systems.
  • Ensure data is accessible, reliable, and efficiently processed.
  • Combine, optimize, and manage multiple big data sources.
  • Create automated reporting systems as needed.
  • Provide software solutions that move data from its source to an internal database such as a data warehouse.
  • Implement data frameworks and architectures.
  • Design, develop, and maintain data pipelines to enable data analysis and reporting.
  • Be accountable for larger portions of a project or process.
  • Use solutions to resolve problems involving data warehousing and data sources.
  • Escalate unsolvable problems beyond individual knowledge and scope to senior-level employees.
  • Use algorithmic and statistical assessments, data processing tools, and approaches, including AI, to support data consumption.

Desired Qualifications

  • Experience with real-time data processing and streaming architectures.
  • Knowledge of data modeling techniques such as Kimball and Data Vault.
  • Experience with containerization using Docker and orchestration using Kubernetes.
  • Familiarity with DevOps practices and infrastructure-as-code tools such as Terraform, ARM, and CloudFormation.
  • Exposure to machine learning pipelines and feature engineering workflows.
  • Cloud platform certification, such as Azure Data Engineer Associate or AWS Data Analytics.

About the Company

AECOM

Global infrastructure consulting and program management

AECOM is a global infrastructure consulting firm that provides a wide range of services, including architecture, design, construction management, engineering, environmental services, and program management, to government agencies, private companies, and non-profits. Its work centers on managing and delivering large-scale infrastructure projects, from planning and design to construction and operation, with fees tied to the project type and scope. Unlike firms with a narrower focus, AECOM offers end-to-end support across transportation, buildings, cities, and overall infrastructure, combining technical expertise with project oversight and sustainability considerations. The company aims to improve the world by enhancing natural and social systems, promoting equity and inclusion, and driving responsible, lasting outcomes for communities.

Company size
10,001+
Company stage
IPO
Headquarters
Dallas, TX
Founded
1990

Recently Posted Jobs

Explore more opportunities at AECOM

See more jobs