Data Engineer (Aws Glue + Elasticsearch)

Buscojobs; Lombardia; Remoto; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A high-growth AI-driven sales platform is looking for a Data Engineer to lead the development of large-scale data pipelines. The role focuses on building and enhancing data infrastructure for core lead intelligence. Candidates should have strong experience with AWS Glue, PySpark, and a solid understanding of Elasticsearch. This position offers ownership of critical areas in a dynamic SaaS environment with a competitive salary and clear career growth potential.

Servizi

Competitive salary and benefits package

Opportunity for career growth

Casual and collaborative work culture

Impact on platform's future

Competenze

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

Mansioni

• 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.
• Collaborate closely with product and engineering teams.

Conoscenze

AWS Glue

PySpark

S3

Elasticsearch

Python

Data quality

Schema evolution

Operational monitoring

LLMs

Semantic search techniques

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.

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