Data Engineer

Data Engineer

We are looking for new professionals to join Pareto's journey

Pareto is a growing software company built around experienced professionals and a sharp focus on what delivers results.

We currently have over 50 senior software professionals on our team, and we’re hiring more this year. We’re looking for a Data Engineer who wants to build reliable, production-grade data platforms across diverse client environments.

What will you do?

You will work on our clients’ data platforms, typically as a data engineer, occasionally as a data architect or technical lead when the project calls for it. We deliver full projects and integrate into our clients’ teams.

Projects span industries like technology, manufacturing, defense, process industry, energy, logistics, food production, healthcare, and the public sector. The common factor: organizations with growing data volumes that need structure, quality, and pipelines they can rely on.

Your work will focus on designing and building end-to-end data pipelines from source systems to cloud platforms. You’ll model curated datasets for analytics and AI consumption, implement data quality checks and monitoring, and collaborate closely with platform engineers on security and deployment.

You’ll have direct influence on client projects, architecture decisions, and engineering practices.

What we expect

At least 5 years of experience in data engineering. You know how to build pipelines that run in production, not just in notebooks.

Strong SQL skills and solid data modeling fundamentals: facts, dimensions, grain. Experience building production data pipelines, batch and/or micro-batch.

Hands-on experience with a cloud data warehouse or lakehouse such as Snowflake, Microsoft Fabric, Databricks, BigQuery, or Synapse. Ability to write maintainable Python or PySpark code for data processing.

Understanding of incremental processing, late-arriving data, and safe reprocessing.

Ability to work with clients. You can communicate technical decis