Job VC
Data Engineer
Technologies
Description
🌎Akvelon is an American company with offices in Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.
About the project:
The project is focused on building a modern data platform that processes and enriches data from multiple external sources and supports advanced analytics, machine learning workflows, and business decision-making.
About the role:
As a Senior Data Engineer, you will design and build scalable data pipelines, data services, and ML-ready datasets for production use cases.
The role requires close collaboration with data science, engineering, and business teams. We are looking for someone with product-oriented data engineering experience, not only traditional DWH or reporting background.
Requirements:
Must have:
Strong experience in Data Engineering
Advanced Python
Strong SQL
Snowflake
dbt
Databricks / PySpark
ETL/ELT pipeline design
Experience supporting ML or advanced analytics workflows
Experience building production-grade data systems
Good English communication skills
Nice to have:
Financial domain experience
Feature engineering / ML-ready datasets experience
APIs, data services, or data product integrations
Real-time or iterative data processing experience
Graph databases
Overlap
: stay available until 8-9 PM CET
Working conditions and benefits:
Flexible working schedule: 8 hours per day
, 40 hours per week
Paid vacation, sick leave
(without a sickness list)
Official state holidays –
11 days considered public holidays
Professional growth
while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
Personal Career Development Plan (CDP)
Employee support program (Discount, Care, Health, Legal compensation)
Paid external training, conferences, and professional certification that meet the company’s business goals
Internal workshops & seminars
Corporate library (Paper/E-books) and internal English classes.
Step into your future – apply now 🚀
and send us your CV.
About the project:
The project is focused on building a modern data platform that processes and enriches data from multiple external sources and supports advanced analytics, machine learning workflows, and business decision-making.
About the role:
As a Senior Data Engineer, you will design and build scalable data pipelines, data services, and ML-ready datasets for production use cases.
The role requires close collaboration with data science, engineering, and business teams. We are looking for someone with product-oriented data engineering experience, not only traditional DWH or reporting background.
Requirements:
Must have:
Strong experience in Data Engineering
Advanced Python
Strong SQL
Snowflake
dbt
Databricks / PySpark
ETL/ELT pipeline design
Experience supporting ML or advanced analytics workflows
Experience building production-grade data systems
Good English communication skills
Nice to have:
Financial domain experience
Feature engineering / ML-ready datasets experience
APIs, data services, or data product integrations
Real-time or iterative data processing experience
Graph databases
Overlap
: stay available until 8-9 PM CET
Working conditions and benefits:
Flexible working schedule: 8 hours per day
, 40 hours per week
Paid vacation, sick leave
(without a sickness list)
Official state holidays –
11 days considered public holidays
Professional growth
while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
Personal Career Development Plan (CDP)
Employee support program (Discount, Care, Health, Legal compensation)
Paid external training, conferences, and professional certification that meet the company’s business goals
Internal workshops & seminars
Corporate library (Paper/E-books) and internal English classes.
Step into your future – apply now 🚀
and send us your CV.