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Offer summary
(Summary generated by AI based on the full job description)
Project focuses on a global SaaS for intelligent customer engagement and marketing automation. Tech stack includes Python, Advanced SQL, AWS (S3, Aurora, RDS), Terraform, Docker, Kubernetes, Snowflake, Apache Iceberg, Apache Druid, Apache Spark, dbt, Apache Airflow, Looker. Responsibilities include designing and operating high-throughput data pipelines, data modeling and storage strategies, managing infrastructure as code, enabling MLOps and feature stores, and monitoring and scaling containerized services and scheduled DAGs. Compensation includes fixed periodic bonuses.
Senior Data Engineer
Company: YARD CORPORATE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
from: 6 November 2026
to: 6 December 2026
25 000 - 30 000 złgross/ mth.contract of employment (full-time)
Salary details
fixed bonus (e.g., quarterly, annual)
Offer parameters
level:mid • senior
working mode:remote
location:Warszawa, Masovian
Warszawa, Masovian
Requirements
Expected technologies
Python
SQL
AWS
Terraform
Docker
Kubernetes
Apache Spark
DBT
Apache Airflow
Our requirements
- 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.
Optional
- 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.
Your 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.
About the project
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
This is how we organize our work
This is how we work
in houseyou focus on a single project at a time
What we offer
- 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.
Recruitment stages
- 1.Recruitment Interview
YARD CORPORATE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Innowacyjna agencja rekrutacyjna wykorzystująca sztuczną inteligencję.
Dzięki wieloletniemu doświadczeniu I znajomości rynku IT w Polsce jako nieliczni faktycznie znamy kandydatów, których rekomendujemy naszym klientom. W efekcie czego minimalizujemy możliwość rezygnacji po okresie próbnym o ponad 95%.
This is how we work
Senior Data Engineer
25k–30k zł / mth. (CoE)
I apply to:
YARD CORPORATE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Warszawa, Masovian
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.