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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on data processing and analytics in the insurance domain with responsibilities including building data pipelines from raw to semantic layers and delivering insights shaping product strategy. Key technologies are SQL, dbt, BI tools (Power BI, Tableau, Looker), optionally Python, BigQuery, cloud (GCP, AWS). Responsibilities cover stakeholder collaboration, data modeling, and analytics process optimization, with remuneration at 140-190 PLN/h.
from: 30 May 2026
to: 29 June 2026
140 - 190 złnet (+ VAT)/ hr.B2B contract (full-time)
Offer parameters
level:senior
working mode:remote
Gdańsk, Pomeranian
Gdańsk, Pomeranian
Requirements
Expected technologies
SQL
dbt
Optional technologies
Python
Microsoft Power BI
Tableau
Looker
Google Cloud Platform
AWS
Our requirements
- 5+ years of professional experience in data/analytics, with strong SQL (Python is a plus)
- Hands-on experience with building powerful data visualisations using BI tools such as Power BI, Tableau or Looker
- Experience working with dbt
- Solid grasp of data modelling
- Strong communication skills - experience working with stakeholders
Optional
- Experience in optimising BigQuery queries
- Experience with cloud platforms (GCP, AWS)
- AI-assisted software development experience
- Background in insurance or finance
Your responsibilities
- Build data pipelines transforming data from bronze to silver to gold to the semantic layer
- Deliver high-quality data insights into the business in order to shape an insurance company's roadmap
- Work closely with senior stakeholders on identifying business requirements and shaping the product
- Build & improve our data analysis process using the latest tools such as Claude Code or Codex
About the project
We are looking for a Senior Analytics Engineer who wants to own the path from raw data to business decisions - transforming data through to a semantic layer, then turning it into insights that shape product strategy.
How do we work?
- We work as a team - all people can freely exchange knowledge and tasks, that’s why we’re looking for strong team players
- We believe in continuous improvement (Kaizen mindset)
- We’re happy to share knowledge and spend time learning our domain and new technologies
- We value asynchronous communication for work, however we meet in person to improve our personal relationships
Recruitment process
At least one of the stages must be completed on-site in one of the major cities: Wrocław, Poznań, Katowice, Kraków, Warszawa or Gdańsk.
We actively encourage AI-assisted development in our daily work. However, during recruitment, we want to assess your individual skills - please don't use AI assistance unless explicitly permitted for a given stage.
What we offer
- Being a part of a strong senior team with the ability to learn and exchange knowledge
- Remote first work environment
- B2B rate 140-190 PLN / hour, dependent on your level of expertise
- Open-ended B2B contract
Benefits
- sharing the costs of sports activities
- private medical care
- sharing the costs of professional training & courses
- remote work opportunities
- flexible working time
- integration events
Recruitment stages
- 1.CV screening
- 2.Tech screening (45 min)
- 3.Live coding session (1h)
- 4.End-to-end analytics exercise (1h)
SHAPED THOUGHTS sp. z o.o.
We are a remote-first boutique software house formed by a group of seasoned software experts (average experience in the team is 12 years). What connected all of us, beyond a long-term relationship, is a passion for building Great Software that matters.
We believe in people, so this is why the key values of Shaped Thoughts are autonomy and trust. Our people have a real and direct impact on what and how we build things. We put extra effort into ensuring everyone can make a difference and grow among other experts.
Senior Analytics Engineer
140–190 zł / hr. (B2B)
I apply to:
SHAPED THOUGHTS sp. z o.o.
Gdańsk, Pomeranian
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.