> Markdown version of [/jobs/ext/3417812-experienced-data-engineer](https://www.wearedevelopers.com/jobs/ext/3417812-experienced-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Experienced Data Engineer - **Company:** Ernst & Young LLP - **Location:** Athens, GA, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Quality, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Python (Programming Language), Cloud Services, SQL Databases, Data Streaming, Azure Data Factory, Snowflake, Apache Spark, Informatica Cloud, Data Lakes, Information Technology, Apache Kafka, Data Management, Software Version Control, Data Pipelines, Databricks - **Published:** September 1, 2026 - **Apply:** https://careers.ey.com/talentcommunity/apply/1424352933/?locale=en_GB ## About the Role * A BSc or MSc degree in Computer Science, Mathematics, Engineering or other related, quantitative fields. * At least 2 years of relevant professional experience.Knowledge of Data Management concepts & methodologies. * Familiarity with at least one of the following: Data Warehouse, Data Lake, Lakehouse, Delta etc. * Working experience in complex data querying (SQL, Spark). * Experience in ETL/Pipelines design & development using industry tools (e.g. Azure Data Factory, Databricks, Airflow, dbt, Informatica Cloud Data Integration, etc). * Experience with Cloud Data Platforms (Snowflake, Azure, AWS etc.) and streaming solutions (e.g. Kafka) will be considered a plus. What We Look For * Strong analytical, problem solving and critical thinking skills. * Desire to investigate and try-out 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 to convey technical advice and guidance to clients. * Evidence of self-motivation for continuous development. ## Description * Develop scalable data pipelines to support batch and streaming data workloads across cloud-native environments * Build data transformations and integrations using modern data engineering languages (e.g. Python, SQL) and frameworks (e.g. 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 codebaseParticipate in client workshops, documenting technical requirements, and contributing to solution design discussions * Support testing, deployment, and monitoring of data solutions in production environments, * You'll have unlimited access to educational platforms, EY Badges and EY Degrees, alongside support for certifications. You will experience personalized coaching and feedback, and gain exposure to international projects, through our expansive global network, empowering you to define and achieve your own success. * Dive into our innovative GenAI ecosystem, designed to enhance your EY journey and support your career growth. These advanced AI tools will empower you to focus on higher-value work and meaningful interactions, enriching your professional experience like never before. * Empowering your personal fulfilment: We focus on your financial, social, mental and physical wellbeing. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)