Senior Data Engineer

YARD CORPORATE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ; Województwo mazowieckie; Remote; PLN 200,000 - 260,000; Full time

Benefits offered by this job

Tax efficiency

Annual bonus

Remote work in Poland

Private medical cover

Mental well-being app

MultiSport Plus card

Pension scheme matching

Sabbatical after 5 years

Growth budget

Job summary

YARD CORPORATE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ is seeking a Senior Data Engineer to own end-to-end data platforms, architect high-throughput pipelines, and collaborate with AI/ML teams. You will deploy cloud infrastructure with Terraform and integrate reporting, telemetry, and MLOps into live environments.

The role offers 100% remote work from Poland, a strong engineering-first culture, and a focus on scalable data architectures, real-time analytics, and modern data tooling.

Qualifications

• 5+ years of professional experience in software engineering with a primary focus on designing, scaling, and maintaining production data systems.
• Deep Data Architecture Expertise: Proven track record in data modeling, query optimization, and schema design for both high-concurrency relational databases (MySQL / Aurora / RDS) and cloud analytical warehouses.
• Strong Cloud & IaC Skills: Hands-on experience provisioning and managing infrastructure using Terraform in a major cloud environment (preferably AWS).
• Software Rigor: Practical mindset toward automated testing (unit, integration, regression), CI/CD pipelines, and maintainable, modular Python code.
• Distributed Processing Experience: Real-world delivery experience using modern data tools (e.g., Snowflake, Apache Spark, dbt, Apache Iceberg).
• Collaborative Communication: Strong command of English (B2/C1+) with the ability to articulate architectural decisions clearly to technical peers and non-technical stakeholders alike.

Responsibilities

• Pipeline Architecture & Engineering: Design, develop, and operate resilient, high-throughput data processing pipelines transforming data across distributed ecosystems.
• Data Modeling & Storage Strategy: Lead schema evolution, DDL/DML design, and partitioning strategies across relational and analytical warehouses to optimize cost, latency, and throughput.
• Engineering Rigor & IaC: Advocate for modern software engineering standards by managing your own cloud infrastructure via Terraform and maintaining automated test suites and robust CI/CD pipelines.
• AI & MLOps Enablement: Partner closely with Data Science and AI specialists to architect feature stores, model ingestion workflows, and production-grade MLOps pipelines.
• Reliability & Observability: Monitor, optimize, and scale containerized data services and scheduled DAGs running in orchestrated environments (Kubernetes, Airflow, Docker).
• Technical Leadership & Collaboration: Serve as a subject-matter expert for cross-functional stakeholders, translating complex architectural trade-offs into practical, business decisions.

Skills

Data architecture

Cloud & IaC

Python

CI/CD

SQL/Databases

Distributed processing

English communication

Tools

Terraform

AWS

Docker

Kubernetes

Snowflake

dbt

Apache Spark

Apache Iceberg

Looker

Airflow

Job description

Nasze wymagania:

• 5+ years of professional experience in software engineering with a primary focus on designing, scaling, and maintaining production data systems.


• Deep Data Architecture Expertise: Proven track record in data modeling, query optimization, and schema design for both high-concurrency relational databases (MySQL / Aurora / RDS) and cloud analytical warehouses.


• Strong Cloud & IaC Skills: Hands-on experience provisioning and managing infrastructure using Terraform in a major cloud environment (preferably AWS).


• Software Rigor: Practical mindset toward automated testing (unit, integration, regression), CI/CD pipelines, and maintainable, modular Python code.


• Distributed Processing Experience: Real-world delivery experience using modern data tools (e.g., Snowflake, Apache Spark, dbt, Apache Iceberg).


• Collaborative Communication: Strong command of English (B2/C1+) with the ability to articulate architectural decisions clearly to technical peers and non-technical stakeholders alike.

Mile widziane:

• Experience building or supporting MLOps workflows and feature stores alongside Data Science teams.


• Hands-on experience with real-time analytics engines (e.g., Apache Druid or ClickHouse).


• Familiarity with containerized orchestration using Kubernetes and Helm.

O projekcie:

We are a specialized tech recruitment agency partnering with a premier, global SaaS product company that powers intelligent customer engagement and data-driven marketing automation for hundreds of thousands of businesses worldwide.

Processing massive volumes of events daily, their distributed platform transforms real-time data into predictive, automated customer experiences. The company is known for its engineering-first culture, mature cloud-native infrastructure, and strong commitment to work-life balance and continuous learning.

We are seeking an experienced Senior Data Engineer to join the core Data Platform team. In this role, you will design robust, high-throughput architectures, scale modern data stacks, and collaborate closely with AI/ML teams to bring production-grade intelligence into live environments.

Role Overview

As a Senior Data Engineer, you will own the end-to-end lifecycle of core data systems. You will balance immediate high-performance querying needs with long-term schema scalability, write clean and testable Python code, deploy your own cloud infrastructure via Terraform, and bridge the gap between business reporting, platform telemetry, and cutting-edge MLOps pipelines.

Technology Stack

• Languages: Python (primary), Advanced SQL


• Cloud & Infrastructure: AWS (S3, Aurora, RDS), Terraform, Docker, Kubernetes


• Data Warehousing & Lakehouse: Snowflake, Apache Iceberg, Apache Druid


• Data Processing & Transformation: Apache Spark, dbt


• Orchestration & BI: Apache Airflow, Looker

Zakres obowiązków:

• Pipeline Architecture & Engineering: Design, develop, and operate resilient, high-throughput data processing pipelines transforming data across distributed ecosystems.


• Data Modeling & Storage Strategy: Lead schema evolution, DDL/DML design, and partitioning strategies across relational and analytical warehouses to optimize cost, latency, and throughput.


• Engineering Rigor & IaC: Advocate for modern software engineering standards by managing your own cloud infrastructure via Terraform and maintaining automated test suites and robust CI/CD pipelines.


• AI & MLOps Enablement: Partner closely with Data Science and AI specialists to architect feature stores, model ingestion workflows, and production-grade MLOps pipelines.


• Reliability & Observability: Monitor, optimize, and scale containerized data services and scheduled DAGs running in orchestrated environments (Kubernetes, Airflow, Docker).


• Technical Leadership & Collaboration: Serve as a subject-matter expert for cross-functional stakeholders, translating complex architectural trade-offs into practical, business decisions.

Oferujemy:

• Tax Efficiency: 75% KUP (Copyright Tax Deductible Costs / Koszty Uzyskania Przychodu) for creative/software engineering contributions.


• Annual Incentive: 10% annual bonus tied to personal and company performance.


• Flexibility: 100% remote work from anywhere in Poland, supported by a home office stipend.


• Health & Wellness: Comprehensive private medical cover via LuxMed (including dental and vision subsidies) + complimentary mental well-being app subscription.


• Sports & Recreation: MultiSport Plus card.


• Retirement & Long-Term Rewards: Pension scheme matching up to 1.5%, plus a paid 4-week sabbatical with a financial bonus after 5 years of service.


• Growth Budget: Direct access to LinkedIn Learning, conference allowances, and personalized development pathways.