Data Engineer

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🔥 38 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $40 - $48 / hour

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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dentsu Austria

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1900

🤝 B2B

📱 Media

🏢 Enterprise

B2B • Media • Enterprise

dentsu Austria is a part of the Dentsu Group, serving as an integrated growth and transformation partner to leading organizations worldwide. The company focuses on pushing the boundaries of business transformation and sustainable growth, providing world-class services and integrated solutions. Dentsu Austria is committed to innovating and creating experiences that enrich every business, with a strong emphasis on research, analysis, and media trends. By leveraging their global network of innovators, they strive to simplify complexities and drive impactful outcomes for brands, people, and society.

📋 Description

• Contribute to the design of cloud data warehouse architecture and the conformed customer data model • Build and maintain SQL transformations, data models, and ELT/data pipelines that ingest, rationalize, and enrich customer data • Leverage Merkle's common frameworks, reusable components, and AI-assisted development tools to accelerate delivery • Apply development standards, version control, and engineering best practices • Engineer customer features and assemble unified customer profiles for downstream CDP, CRM, analytics, and data science consumption • Perform development, unit and data-quality testing, and peer code review • Automate and orchestrate data pipelines, and manage code from development to production through source control and CI/CD • Use AI coding assistants and GenAI tooling responsibly to improve productivity, code quality, and feature development

🎯 Requirements

• 2–4+ years building data pipelines and SQL transformations on a major RDBMS and/or cloud data warehouse (e.g., Snowflake, BigQuery, Databricks, Amazon Redshift, Azure Synapse) • Strong SQL and database programming skills, including query performance tuning and optimization • Hands-on experience with ELT/ETL and data transformation tooling (e.g., dbt, Talend, Informatica, Matillion, SSIS) • Strong understanding of relational and dimensional data modeling, and of conformed / customer (Customer 360) data models • Proficiency with source control (Git) and branching workflows, plus CI/CD for automated dev-to-prod deployment • Understanding of secure data exchange and file management (sFTP, PGP encryption) and of data privacy and governance practices • Experience with data pipeline orchestration and automation (e.g., Apache Airflow, Dagster, Prefect, dbt Cloud, Azure Data Factory) • Familiarity with software engineering methodologies (Agile/Scrum), issue tracking (Jira), and the full software development lifecycle • Understanding of core cloud and IT concepts — compute, storage, networking, and backups • Proficiency in Python for data engineering and scripting; comfort with Bash and command-line workflows • Solid communication skills, both verbal and written

🏖️ Benefits

• Temporary employees are eligible for paid holidays in accordance with dentsu policy • Safe and sick time