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Data Engineer with Snowflake (Senior)

Data Engineer with Snowflake (Senior)
B2B21 000 - 27 000 PLN NET
COE15 500 - 20 500 PLN GROSS
LOCATION + Remote Poland: Katowice, Kielce, Kraków, Rzeszów, Wrocław
Apply now

We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself!

About the role

SQL Expert
Snowflake Advanced
Data modeling Advanced
Programming (any language) Regular
AWS Regular
dbt Basic
Terraform Basic
View available projects
Project
Conway - Snowflake
Project scope
Our main goal is to develop a Data Lake platform for a new, highly funded, UK-based, speciality insurance company. We work across two teams: one responsible for ingesting and curating hundreds of datasets from various providers; the second one creating Data Marts used by analysts, business users, and Data Science teams. There are lots of greenfield areas and possibilities to impact the whole company.
Tech stack
AWS, Snowflake, dbt, SQL, Terraform, Prefect
Challenges
- Delivering high-quality code for data processing and transformation using Snowflake and dbt;
- Automating and optimizing day-to-day work while making sure the process remains reliable;
- Working closely with Data Architects and Business Analysts to create Data Marts using Kimball Dimensional Modelling;
- Connecting to multiple data sources and sinks to support complex business processes
Team
The Data Engineering team consists of around 20 engineers of which about a half is Snowflake and the other half are Scala/Spark engineers. Many of them are from well-known consultancies. Apart from that teams consist of Data Architects, Business Analysts, Product Owner and Delivery Lead.

What we expect in general

  • Strong SQL skills
  • Strong engineering skills
  • Polyglot engineer with experience in traditional Data Engineering and a knowledge of current trends like Modern Data Stack
  • Demonstrated ability of design, build and implementation of software solutions in Snowflake with an unwavering focus on quality
  • Ability to work in an agile environment, partnering with team members and peers to find solutions to challenging problems with transparency
  • Experience of working using CI / CD and DevSecOps approach
  • Dimensional modeling (Kimball)
  • Experience in using a cloud environment, with preference of AWS
  • Hands-on experience with Python or an equivalent programming language

Seems lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out!

A few perks of being with us

Building tech community
Building tech community
Flexible hybrid work model
Flexible hybrid work model
Home office reimbursement
Home office reimbursement
Language lessons
Language lessons
MyBenefit points
MyBenefit points
Private healthcare
Private healthcare
Stretching
Stretching
Training Package
Training Package
Virtusity / in-house training
Virtusity / in-house training
And a lot more!

Apply now

Data Engineer with Snowflake (Senior)

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Current recruitment process: For the purpose of recruitment, I hereby give consent as per art. 6.1.a of the GDPR to processing of my personal data (other than that listed in art. 22 [1] § 1 Labour Code) by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at 23 Zofii Nałkowskiej Street, Rzeszów, 35-211. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that my personal data will be kept for the duration of the recruitment process and as regards any potential claims, for the period of 36 months maximum, and that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any time, but this withdrawal does not make the previous processing illegal*. (Required)*

Current recruitment process: For the purpose of recruitment, I hereby give consent as per art. 6.1.a of the GDPR to processing of my personal data (other than that listed in art. 22 [1] § 1 Labour Code) by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at 23 Zofii Nałkowskiej Street, Rzeszów, 35-211. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that my personal data will be kept for the duration of the recruitment process and as regards any potential claims, for the period of 36 months maximum, and that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any time, but this withdrawal does not make the previous processing illegal*.

(Required)
Future recruitment processes: I hereby give consent as per art. 6.1.a of the GDPR to the processing of my personal data by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at 23 Zofii Nałkowskiej Street, Rzeszów, 35-211, in order to use this data in future recruitment processes. I hereby agree to possible storage of my personal data for this purpose in Virtus Lab’s database for a period of 36 months maximum. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any point, but this does not make the previous processing illegal*.

Future recruitment processes: I hereby give consent as per art. 6.1.a of the GDPR to the processing of my personal data by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at 23 Zofii Nałkowskiej Street, Rzeszów, 35-211, in order to use this data in future recruitment processes. I hereby agree to possible storage of my personal data for this purpose in Virtus Lab’s database for a period of 36 months maximum. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any point, but this does not make the previous processing illegal*.

Paulina Radzimowska
Coordinated by
Paulina Radzimowska
Team Lead / Senior IT Talent Acquisition Specialist
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Data Engineer with Snowflake (Senior)
B2B21 000 - 27 000 PLN NET
COE15 500 - 20 500 PLN GROSS
LOCATION + Remote Poland: Katowice, Kielce, Kraków, Rzeszów, Wrocław
Apply now
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