Senior Data Engineer

HeadHR; Poland; Remote; PLN 180,000 - 300,000; Full time

Job summary

HeadHR is seeking an experienced Data Engineer in Warsaw to design and implement scalable data pipelines and data models in cloud environments. You will lead cloud data architectures, drive quality, observability, and automation while collaborating with clients and senior stakeholders to translate requirements into robust data solutions.

You will mentor mid-level engineers, contribute to DataOps practices, and help shape long-term platform strategy as technology evolves.

Qualifications

• 4+ years of hands-on data engineering or closely related role.
• Strong Python skills and production-ready code in distributed data environments.
• Advanced SQL proficiency with relational databases (SQL Server, PostgreSQL).
• Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns.
• Solid understanding of cloud architecture, networking, security, APIs, and scalable systems.

Responsibilities

• Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments
• Leading the technical design of cloud data architectures and contributing to standards, guidelines, and long-term platform strategy
• Driving best practices in data engineering: quality assurance, lineage, observability, testing, automation, documentation
• Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems
• Collaborating with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions
• Working with CI/CD pipelines, infrastructure-as-code, and automation (DataOps)
• Integrating data solutions with BI, ML, and application layers across diverse client environments
• Mentoring mid-level engineers in their technical growth (without formal line management)
• Staying up-to-date with emerging technologies and proposing platform innovations

Skills

Python

SQL

Data modelling

ETL/ELT

DWH

Cloud architecture

DataOps

CI/CD

Tools

SQL Server

PostgreSQL

Azure

AWS

GCP

Job description

• Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments
• Leading the technical design of cloud data architectures and contributing to standards, guidelines, and long-term platform strategy
• Driving best practices in data engineering: quality assurance, lineage, observability, testing, automation, documentation
• Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems
• Collaborating with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions
• Working with CI/CD pipelines, infrastructure-as-code, and automation (DataOps)
• Integrating data solutions with BI, ML, and application layers across diverse client environments
• Mentoring mid-level engineers in their technical growth (without formal line management)
• Staying up-to-date with emerging technologies and proposing platform innovations

Kogo poszukujemy?

• 4+ years of hands-on experience as a Data Engineer or a closely related engineering role
• 2+ years of experience working with cloud platforms (primarily Azure; AWS/GCP equally valuable)
• Strong Python skills - maintainable, production-ready code in distributed data environments
• Advanced SQL proficiency and experience with relational databases (SQL Server, PostgreSQL)
• Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns (Lakehouse preferred)
• Solid understanding of cloud architecture, networking fundamentals, security, APIs, and scalable systems
• Experience with large-scale, high-volume datasets
• Strong ownership mindset, creativity, openness to innovation, and ability to work autonomously in dynamic cloud projects