Job Overview
Location
Wroclaw
Job Type
Full-time
Category
Data Engineer
Date Posted
March 4, 2026
Full Job Description
đź“‹ Description
- • Join airSlate, a dynamic global SaaS technology company at the forefront of no-code workflow automation, electronic signature, and document management solutions. We are experiencing an exciting phase of growth and transformation, with a distributed team across more than 20 countries and major hubs in the United States, Poland, Romania, Ukraine, and the Philippines. Our award-winning suite of products, including SignNow, pdfFiller, DocHub, airSlate WorkFlow, Instapage, and US Legal Forms, empowers hundreds of millions of users and over a million customers worldwide. We are dedicated to helping organizations of all sizes digitize their processes, enhance efficiency, and revolutionize their operational workflows.
- • As a Data Engineer II with MLOps specialization, you will be an integral part of our Marketing Engine team, a substantial group of over 150 professionals managing comprehensive 360º communication and operating a sophisticated, in-house automation engine. This team is responsible for driving over 31 million monthly traffic across all our brands, making it a critical component of our success. You will play a pivotal role in the next phase of our brand's expansion, contributing directly to the launch and scaling of new products.
- • Your primary responsibility will be to design, build, and maintain robust, scalable, and efficient data pipelines that support our marketing initiatives and machine learning operations. This involves working with large datasets, ensuring data quality and integrity, and optimizing data flows for performance and reliability.
- • You will be instrumental in developing and implementing MLOps best practices, enabling the seamless deployment, monitoring, and management of machine learning models within our production environment. This includes setting up infrastructure for model training, versioning, and inference, as well as establishing robust monitoring and alerting systems.
- • Collaborate closely with data scientists, marketing analysts, and other engineering teams to understand their data needs and translate them into technical solutions. This cross-functional collaboration is key to ensuring our data infrastructure effectively supports business objectives and drives data-informed decision-making.
- • Develop and maintain ETL/ELT processes, leveraging various data integration tools and techniques to ingest, transform, and load data from diverse sources into our data warehouse and data lake.
- • Implement data quality checks and validation frameworks to ensure the accuracy, completeness, and consistency of our data assets. Proactively identify and resolve data-related issues.
- • Optimize data storage and processing for performance and cost-efficiency, utilizing cloud-based data warehousing solutions and distributed computing frameworks.
- • Contribute to the architecture and design of our data platform, ensuring it is scalable, resilient, and meets the evolving needs of the business.
- • Build and manage CI/CD pipelines for data engineering and MLOps workflows, automating testing, deployment, and infrastructure management.
- • Monitor data pipelines and ML systems, troubleshoot issues, and implement solutions to ensure high availability and performance.
- • Stay abreast of the latest trends and technologies in data engineering, MLOps, and cloud computing, and advocate for their adoption where appropriate.
- • Document data processes, architectures, and MLOps procedures to ensure knowledge sharing and maintainability.
- • You will have the opportunity to make a significant impact by enhancing our data capabilities, enabling more sophisticated marketing strategies, and accelerating the adoption of machine learning models to drive business growth and customer engagement.
- • This role offers a unique chance to work with cutting-edge technologies in a fast-paced, innovative environment, contributing to the success of a leading SaaS company.
🎯 Requirements
- • Proven experience as a Data Engineer, with a strong understanding of data warehousing, ETL/ELT processes, and data modeling.
- • Hands-on experience with MLOps principles and tools, including model deployment, monitoring, and lifecycle management.
- • Proficiency in at least one major cloud platform (AWS, Azure, GCP) and their associated data services.
- • Strong programming skills in Python and SQL, with experience in data manipulation and analysis libraries.
- • Experience with big data technologies such as Spark, Hadoop, or similar distributed processing frameworks.
- • Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
- • Excellent problem-solving skills and the ability to work independently and as part of a team.
🏖️ Benefits
- • Competitive salary and performance-based bonuses.
- • Comprehensive health, dental, and vision insurance plans.
- • Generous paid time off and holidays.
- • Opportunities for professional development and continuous learning.
- • A collaborative and innovative work environment with a global team.
- • Access to cutting-edge technologies and tools.
Skills & Technologies
Go
Onsite
About airSlate, Inc.
airSlate, Inc. provides a no-code workflow automation platform that lets businesses create, integrate, and manage e-signature, document generation, and process automation solutions. The company combines PDF editing, web form builders, robotic process automation, and contract lifecycle management in one cloud environment, targeting legal, HR, sales, and healthcare teams that need to digitize paperwork without developers. Founded in 2008, it serves over 100 million users and 100,000 organizations worldwide, emphasizing security certifications such as SOC 2 Type II and HIPAA compliance.
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