Forward-Deployed Engineer – Data Engineering Expert

Viaduct

Data Engineer working with Internal Efficiencies team to deliver analytics solutions. Collaborating with engineers, data scientists, and product experts for user impact based on data.

Posted 5/11/2026full-timeRemote • 🇸🇮 SloveniaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheHDFSJavaKafkaLinuxPythonScalaSparkSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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)
Business English fluency and aptitude for working in an international working environment across geographies and time zones
Bachelor’s degree (or equivalent) in a related field (e.g., Computer Science)

Benefits

Comp & perks

Compensation: Competitive base salary, short-term incentive (annual bonus) and long-term incentive (long-term upside)
Travel: 0-20% (with significant occasional international travel component)
Employment Type: Full Time
Work site: Flexible (Ljubljana office and/or work from home)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonScalaJavaC++SQLSparkAirflowHDFSDelta LakeKafka Stream

Soft Skills

collaborationcommunicationrelationship buildingproject ownershipproblem-solvingadaptabilitytime managementattention to detailcustomer focusteamwork

Certifications

Bachelor’s degree in Computer Science