Forward-Deployed Engineer – Data Engineering Expert
New
Slovenia / RemoteFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Business English fluency
- Experience
- 3+ years working as a full-time data engineer
- Required Skills
- PythonSQLJavaC++AirflowSparkScala
Requirements
- Experience owning a project from design to implementation
- 3+ years working as a full-time data engineer
- Proficiency in Python/Scala/Java/C++ and SQL
- Comfortable exploring and answering questions with data and SQL
- Experience leveraging agentic AI tools to deliver code (e.g., Claude Code, Codex, Cursor)
- Track record of experience with many of the following: (a) Spark or equivalent technologies, (b) workflow schedulers (Airflow, Prefect, Argo, etc), (c) distributed file-systems (HDFS, S3, etc), (d) tools in the open-source data ecosystem (Apache, CNCF, etc), (e) incremental or real-time processing (Delta Lake, Apache Hudi, Kafka Stream, Spark Streaming, etc)
- Familiarity with automating data engineering tasks and processes using command-line or GUI tools (e.g., Linux OS, Gumloop, Airbyte, ADF, etc)
- Bachelor’s degree (or equivalent) in a related field (e.g., Computer Science)
- Experience as a tech lead or mentor
- 3+ years of experience with Spark or equivalent technologies
- 2+ years of experience with a workflow scheduler (Airflow, Prefect, Argo, etc)
- 2+ years of experience with distributed file-systems (HDFS, S3, etc)
- Track record of success in an environment with direct user/customer interaction or on projects with a strong user/customer-feedback component
- Track record of success in a fast-changing environment where projects and tasks change rapidly
- Personal enthusiasm and track record of success in leveraging agentic AI tools to deliver code AND solutions (e.g., Claude Code, Codex, Cursor)
- Advanced / graduate degree (or equivalent) in a related field (e.g., Computer Science)
Responsibilities
- Operate as the data engineering expert on the Internal Efficiencies team, collaborating closely with other engineers, data scientists, solution / product experts, and customer success leaders to deliver against user / customer deliverables
- Contribute to defining data engineering deliverables from inception to completion, ensuring timely delivery and high-quality outputs
- Leverage agentic AI tools on a daily basis to deliver code and improve your productivity
- Develop and maintain strong relationships with all Internal Efficiencies team members as well as engineering subject-matter experts across Viaduct
- Work with customer success and solution / product team members to scope user/customer needs and translate them into actionable analytics solutions
- Deliver against deliverables with quality and speed, contributing new features to solutions and products, refactoring code, improving tests, automating manual processes, and owning other engineering tasks
- Stay updated with the latest trends and related technologies and apply them to improve our software
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