Data Engineer (AWS Glue + Elasticsearch)

OnHires; Belluno; In loco; EUR 35.000 - 60.000; Tempo pieno

Descrizione del lavoro

A rapidly growing SaaS company is seeking a Data Engineer to lead the development of data pipelines and maintain the backend infrastructure. The position offers a chance to work in a dynamic environment with high impact, focusing on semantic search and large-scale data handling. The ideal candidate will have proven experience with AWS Glue and Elasticsearch, and will thrive in a collaborative, fast-paced startup culture.

Servizi

Competitive salary and benefits package

Clear path for career growth and advancement

Casual, remote-friendly work culture

Opportunity to work with a talented team

Make a meaningful impact on the future of the platform

Competenze

• Proven experience with AWS Glue, PySpark, and S3.
• Strong Python skills, especially with PySpark and Pandas.
• Deep understanding of Elasticsearch and performance optimization.

Mansioni

• Build and maintain data processing pipelines using AWS Glue and S3.
• Create workflows for data transformation, cleaning, and normalization.
• Optimize search infrastructure and collaborate with teams for scalable solutions.

Conoscenze

AWS Glue

PySpark

S3

Elasticsearch

Python

Data Quality

Schema Evolution

Descrizione del lavoro

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

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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