Senior Data Engineer

Data

Senior Data Engineer

Data
plac Grunwaldzki 23, Wrocław +4 Locations

DataArt

Show all offers
Full-time
B2B, Permanent
Senior
Remote
6 702,41 - 8 042,90 USDNet per month - B2B
5 361,93 - 6 702,41 USDGross per month - Permanent

Job description

Client

Our client is a huge investment company headquartered in New York City.

Project overview

The primary objective of this exciting project is to enhance the functionality of a cutting-edge Data Platform, empowering business users with the insights they need to make data-driven investment decisions. The Data Platform is already in production, and we are developing new features and projects tailored to specific business data-driven needs as well as introducing ongoing architectural changes to increase usage efficiency.

Work until 6:00 PM Polish time.

Position overview

We are seeking a Senior Data Engineer with strong expertise in data modeling and ETL development using Snowflake. In this role, you will be responsible for designing and implementing robust data models, building reliable ETL pipelines, and contributing to the evolution of the data warehouse.

Technology stack

Snowflake, Azure, dbt

Responsibilities

  • Data Modeling

  • ETL pipeline development

  • Data warehouse design and implementation

Requirements

  • 5+ years of work experience in a data engineering role or 3-5 completed projects

  • Experience with Snowflake, Python, Azure, ETL pipelines, dbt, and complex SQL queries

  • Knowledge of data management fundamentals (data modeling, data quality, metadata management, data warehouse/lake patterns, distributed systems)

  • Good spoken English

Nice to have

  • Financial, Investment experience

What We Offer:

  • Vacation days: Up to 26 business days per year.

  • 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types

  • Health and life insurance (Luxmed)

  • MyBenefit platform with Multisport option

  • Internal psychological support service

  • English language classes from the first working day

  • Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training

  • Flexible workplace: work from the office, from home, or choose a hybrid option

  • Tech Skills Mentoring Program

  • Opportunities to develop as a public speaker, mentor, or technical interviewer

  • Fully paid idle (bench) when not involved in a project

  • Certification reimbursement (AWS, GCP, Microsoft, etc.)

 

Tech stack

    English

    B2

    Snowflake

    advanced

    Python

    advanced

    Azure

    advanced

    ETL Pipelines

    advanced

    DBT

    advanced

    SQL queries

    advanced

    data management fundamentals

    advanced

Office location

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