Data Engineer (AWS Glue + Elasticsearch)

OnHires; Remoto; EUR 45.000 - 75.000; Tempo pieno

Descrizione del lavoro

A growing SaaS company in Italy seeks a Data Engineer to lead the development of data pipelines and enhance their lead intelligence platform. Responsibilities include building data processing infrastructure, optimizing search capabilities, and collaborating with teams for scalable solutions. Ideal candidates have strong experience with AWS Glue, PySpark, and Python. This role offers a competitive salary, benefits, and the opportunity to work in a dynamic remote-friendly culture.

Servizi

Opportunity to work with a rapidly growing SaaS company

Clear path for career growth

Competitive salary and benefits

Casual and collaborative work culture

Competenze

• Proven experience with AWS Glue, PySpark, and S3.
• Deep understanding of Elasticsearch queries and performance optimization.
• Strong Python skills, especially with PySpark and Pandas.
• Experience with data quality and operational monitoring.
• Familiarity with LLMs or semantic search techniques.

Mansioni

• Build and maintain data processing pipelines using AWS Glue and S3.
• Work with large-scale datasets in Elasticsearch and MongoDB.
• Create robust workflows for data transformation and cleaning.
• Optimize our search infrastructure with semantic enhancements.
• Collaborate with product and engineering teams for scalable solutions.

Conoscenze

AWS Glue

PySpark

S3

Elasticsearch

Python

Data quality

Schema evolution

LLMs

DeepL

Node.js

Descrizione del lavoro

Remote | Full-time | SaaS | Data Engineering

OnHires is partnering with Instantly.ai, a high-growth AI-driven sales outreach and lead intelligence platform used by over 35,000 B2B companies worldwide. We are looking for a Data Engineer to take ownership of SuperSearch — the backend infrastructure powering B2B lead discovery and enrichment.

About the Role

As a Data Engineer, you’ll lead the development and maintenance of large-scale data pipelines and infrastructure that drives our core lead intelligence platform. This role blends classic data engineering with semantic search and LLM-powered enhancements — in a fast-paced, high-impact startup environment.

Key Responsibilities

Build and maintain data processing pipelines using AWS Glue (PySpark) and S3

Work with large-scale datasets in Elasticsearch and MongoDB

Create robust workflows for data transformation, cleaning, and normalization

Optimize and tune our search infrastructure, including query design and semantic enhancements (LLMs, DeepL, embeddings)

Collaborate closely with product and engineering teams to deliver scalable solutions

Must-Have Skills

Proven experience with AWS Glue, PySpark, and S3

Deep understanding of Elasticsearch (queries, aggregations, performance optimization)

Strong Python skills (esp. with PySpark and Pandas)

Experience with data quality, schema evolution, and operational monitoring

Familiarity with LLMs, embeddings, or semantic search techniques is a strong plus

Bonus: Experience with Node.js or general JavaScript backend development

Why Instantly.ai?

Join a product-led, profitable SaaS startup on its way to unicorn status

Work directly on a critical product area with full ownership and autonomy

Fast-moving environment with minimal red tape and maximum impact

Collaborate with high-caliber engineers, data scientists, and product minds

Company Perks

Opportunity to work with a rapidly growing SaaS company in a dynamic industry

Chance to work with a talented and passionate team of professionals

Competitive salary and benefits package

Clear path for career growth and advancement

Casual, remote-friendly, and collaborative work culture

Opportunity to make a meaningful impact on the future of our platform

If you’re excited about owning critical data infrastructure in a high-growth SaaS environment - we’d love to hear from you. Apply today, and we’ll get in touch shortly.