Senior Data Engineer / Data Platform

Zohorecruit; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

Zohorecruit is hiring a Senior Data Engineer / Data Platform Lead to build and own the first practical version of our internal data platform. This is a hands-on builder role, not just governance or ML, and you will own end-to-end data pipelines in AWS.

You will design and implement raw, staged, and curated data layers, metadata and lineage, and prepare datasets for dashboards and internal AI. Strong SQL, AWS, and data modeling skills are required, with 5+ years in data engineering and excellent

Qualifications

• 5+ years of experience in data engineering or data platform roles.
• Strong hands-on experience with data pipelines and platform ownership.
• Strong AWS experience.
• Strong SQL and data modeling skills.
• Experience with structured and unstructured data.
• Experience with ingestion, normalization, and dataset preparation.
• Strong English communication skills (written and spoken).
• Ability to work in a fast-paced, evolving environment.

Responsibilities

• Design, build, and improve AWS-based data platform architecture.
• Develop ingestion workflows from multiple systems and data sources.
• Handle structured and unstructured data, including document processing.
• Normalize and transform data into usable schemas.
• Define metadata, naming conventions, and lineage tracking.
• Prepare datasets for dashboards, analytics, and internal AI use.
• Implement data quality checks and validation processes.
• Document data structures, pipelines, and workflows.
• Work closely with engineering leadership on integrations and priorities.

Skills

AWS

SQL

Data modeling

Data pipelines

English (written and spoken)

Cloud architecture

Fast-paced environment

Hands-on

Tools

AWS Glue

Athena

Job description

We are hiring a Senior Data Engineer / Data Platform Lead to build and own the first practical version of our internal data platform.

This is a hands-on builder role , not just reporting, governance, or pure ML.

You will design and implement:

• Raw, staged, and curated data layers
• Document-heavy workflows (OCR, parsing)
• Data normalization and schema design
• Metadata, lineage, and data structure standards
• Datasets for dashboards and internal AI

Key Responsibilities

• Design, build, and improve AWS-based data platform architecture
• Develop ingestion workflows from multiple systems and data sources
• Handle structured and unstructured data, including document processing
• Normalize and transform data into usable schemas
• Define metadata, naming conventions, and lineage tracking
• Prepare datasets for dashboards, analytics, and internal AI use
• Implement data quality checks and validation processes
• Document data structures, pipelines, and workflows
• Work closely with engineering leadership on integrations and priorities

Requirements

Minimum Qualifications

• 5+ years of experience in data engineering or data platform roles
• Strong hands-on experience with data pipelines and platform ownership
• Strong AWS experience
• Strong SQL and data modeling skills
• Experience with structured and unstructured data
• Experience with ingestion, normalization, and dataset preparation
• Strong English communication skills (written and spoken)
• Ability to work in a fast-paced, evolving environment

Preferred Qualifications

• Experience with data lake or lakehouse architectures
• Experience with OCR or document-heavy workflows
• Experience preparing data for AI or retrieval-based systems
• Experience in regulated industries (fintech, healthtech, etc.)
• Experience building analytics-ready datasets
• Experience mentoring junior team members

Bonus Skills

• AWS Glue, Athena, or similar tools
• Data lineage and metadata tooling
• Exposure to credit or financial data

What We're Looking For

We want a senior builder-owner who can:

• Work with messy, real-world data
• Prioritize and sequence work effectively
• Build practical solutions (not just design them)
• Communicate clearly in a remote, async environment