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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on consumer insights for a major U.S. provider with emphasis on designing and implementing data privacy features enabling secure multi-party collaboration. Required skills include SQL, Python, AWS (Lambda, Airflow, Redshift), and the Snowflake ecosystem (SnowPipes, Streams, ELT pipelines). Responsibilities cover data structure design, governance compliance, sensitive data protection, and optimizing storage and processing of large datasets (200B+ records). Offered benefits include private medical care, Multisport card, and social perks.
from: 21 August 2026
to: 20 September 2026
140 - 190 złnet (+ VAT)/ hr.B2B contract (full-time)
Salary details
basic salary
Offer parameters
level:senior
working mode:remote
Warszawa, Mokotów
Requirements
Expected technologies
Python
Snowflake
AWS
SQL
Lambda
Airflow
Redshift
Optional technologies
Swagger
OpenAPI
Node
Next.js
Operating system
macOS
Our requirements
- Ability to work partially within the U.S. time zone (during onboarding: calls up to 9:30 PM CET 3x a week; later: up to 6/7:00 PM CET.)
- 6 + years of experience as a Data Engineer/Data Scientist
- Proficiency in SQL, Python, AWS (Lambda, Airflow, Redshift)
- Detailed, solid knowledge of the Snowflake ecosystem (knowledge of SnowPipes, Streams, Views, performance tuning, data modeling, ELT pipelines, data visualizations, and standard DWH concepts, and experience implementing complex SQL stored procedures)
Optional
- Working experience of AI concepts such as Generative AI chatbots, Cortex Analyst, agent training, various LLMs, and prompt engineering
- Working knowledge of Databricks
- Expertise in building and maintaining APIs; Swagger/OpenAPI spec, Node, and Next.js
Your responsibilities
- Design and implement data privacy features and services to enable secure multi-party collaboration, including query constraints, data clean room construction, deployment, and monitoring at scale
- Uphold data governance standards and practices, ensuring compliance with data quality standards
- Implement and enforce data security measures to protect sensitive data, including personally identifiable information (PII) and financial data
- Leverage SQL and Python programming proficiency to extract, transform, clean, and interpret large data volumes (200BIL+ records)
- Design highly performant data structures to ensure optimal storage and retrieval of data
- Utilize advanced database technologies to enhance data storage and processing capabilities
About the project
Hi there! If you’re seeking a high-impact role within an ambitious and fast-growing software house, you might have just found your perfect match!
We are seeking a highly skilled and experienced Senior Data Engineer to join our team. You will be working with one of the biggest consumer insights providers in the U.S.
In this role, you will be responsible for designing, implementing, and maintaining robust data structures and controls for privacy features and services, enabling secure multi-party collaboration. You will ensure compliance with data governance standards, implement strong data security measures, and leverage your expertise in SQL and Python to manage large data volumes. This position requires a deep understanding of various data technologies, cloud environments, data clean rooms, and AI concepts.
Working hours: Availability between 5:00 PM and 9:30 PM CET is essential during onboarding; afterwards, standard hours finish around 8:00–9:00 PM CET.
This is how we organize our work
This is how we work
at the client's siteyou focus on a single project at a timeyou can change the projectyou focus on product developmentagile
Team members
backend developerfrontend developerfullstack developertechnical leaderdata scientist
This is how we work on a project
- Continuous Deployment
- Continuous Integration
- DevOps
What we offer
- Private medical care
- Multisport card
- Friendly, informal atmosphere, and direct contact with everyone in the company
- Modern technologies
Benefits
- sharing the costs of sports activities
- private medical care
- remote work opportunities
- flexible working time
- extra social benefits
- baby layette
- school layette
- employee referral program
- charity initiatives
- Gift vouchers for kids (birthdays, Christmas, Child's Day)
Recruitment stages
- 1.HR call (max 15 min.)
- 2.Technical interview with the Acaisoft team (max 45 min.)
- 3.Call with our Client (+/- 60 min.)
ACAISOFT POLAND Sp. z o.o.
Acaisoft is a Polish company partnering with industry leaders across healthcare, telecom, fintech, and insurance. We specialize in delivering cloud-native, data-driven, and scalable solutions for enterprises operating in fast-moving environments. We currently serve around 30 active customers worldwide, mostly based in the U.S. We specialize mainly in:
* Data Engineering & AI
* Cloud-Native Solutions, including Cost Optimization
* Platform Engineering
Since technology is constantly being developed at such a fast pace, we always strive to be one step ahead of the market and keep up with the latest solutions.
Senior Data Engineer (AWS+Snowflake)
140–190 zł / hr. (B2B)
I apply to:
ACAISOFT POLAND Sp. z o.o.
Warszawa, Mokotów
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