Jobgether
11-50 employees
About Jobgether
Jobgether is a digital recruitment platform founded in 2020 that focuses on connecting job seekers with remote and flexible work opportunities worldwide. The company leverages technology to simplify the job search process, offering a user-friendly interface for candidates to find roles that match their skills and preferences, particularly emphasizing remote work options. Jobgether aims to empower professionals by providing access to a broad range of job listings and career resources, helping companies find qualified talent efficiently. With a mission to modernize recruitment and support the evolving workforce, Jobgether operates primarily in the internet and human resources industries.
4 days ago
Senior Product Data Engineer
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Description
- This senior data engineering role focuses on building customer-facing data products from complex, large-scale, and unstructured data; you will join a Data Insights team to design, implement, and operate ETL/ELT pipelines, LLM-powered features, AI-assisted search and recommendation capabilities, and scalable data architectures while owning projects end-to-end and collaborating closely with engineering and product stakeholders.
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Benefits
- Fully remote position with the flexibility to work from anywhere in Europe.
- Annual salary range of €90,000–€140,000, depending on location, employment type, skills, and experience.
- Stock options in addition to salary, with a significant equity component.
- Unlimited paid vacation.
- Flexible working hours and an async-friendly culture.
- High level of ownership with low bureaucracy and minimal unnecessary meetings.
- Personal development support covering courses, books, conferences, and other learning opportunities.
- Regular team offsites and opportunities to connect with colleagues in person.
- Opportunity to work on large-scale data products with direct customer impact.
- Exposure to modern technologies across AWS, GCP, Spark, Airflow, LLMs, AI agents, lakehouse architectures, and infrastructure as code.
- Opportunity to influence AI-assisted search, recommendations, and intelligent data products from the early stages.
- Collaborative environment with experienced data and backend engineers and strong emphasis on autonomy, feedback, and technical ownership.