Data Analytics Engineer (f/m/x)
⚲ Białystok, Centrum, Bydgoszcz, Gdańsk, Oliwa, Katowice, Kraków, Podgórze, Lublin, Łódź, Śródmieście, Piła, Poznań, Wilda, Rzeszów, Szczecin, Toruń, Warszawa, Mokotów, Wrocław, Fabryczna
Do uzgodnienia
Wymagania
- Data Built Tool
- LookML
- Looker
- SQL
- Git
- BigQuery
- Data Governance
- Data Modeling
- Apache Airflow
- AML
Opis stanowiska
Nasze wymagania:
Min. 5 years of hands-on experience with dbt and modern cloud data warehouses (BigQuery)
Proficiency in SQL skills and experience building well-structured, reusable models in a layered architecture
Ability to translate unclear or messy business requirements into clean, performant, and maintainable data transformations
Familiarity with Git-based workflows, version control, and CI/CD practices in analytics engineering environments
Strong sense of ownership and accountability, especially when working with business-critical data products
Comfort working in environments with high engineering and governance standards
Strong collaboration and communication skills, with the ability to engage proactively with stakeholders beyond data teams
Interest in developing expertise across domains such as payments, credit, and fraud/AML, rather than focusing narrowly on a single area
Ability to communicate effectively in English in an international environment
Fluent Polish required
Residing in Poland required
O projekcie:
We are looking for an Analytics Engineer to join Sii and a strategic project delivered for a Copenhagen-based fintech company. In this role, you will build and scale business-critical data models that drive decision-making across key domains such as credit, payments, and fraud/AML.
You will operate in an environment with high engineering standards (CI/CD, code reviews, data governance) and work on high-impact data products where reliability, ownership, and operational discipline are essential. This role involves collaboration across multiple domains and stakeholders, offering the opportunity to broaden your expertise while working on complex, real-world data challenges.
Zakres obowiązków:
Build and maintain core data models in dbt that power critical reporting and decision-making in credit, payments, and fraud/AML
Partner closely with business stakeholders, Data Engineers, and Data Analysts to define requirements, clarify ownership, and align on success criteria
Work collaboratively with both technical and non-technical stakeholders, translating complex or ambiguous business logic into scalable data solutions
Contribute to the semantic layer (LookML) to ensure consistent, scalable reporting and enable self-service analytics across multiple domains
Take ownership of data quality, implementing testing, monitoring, and documentation; proactively detect and resolve issues in business-critical data pipelines
Support reliable data workflows, including working with orchestration tools such as Airflow/Astronomer where needed
Contribute to and uphold strong analytics engineering practices, including code reviews, reusable patterns, and reducing technical debt
Balance work across multiple data domains and shared definitions, which requires adaptability and effective context switching
Oferujemy:
Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas
Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market
We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022
Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more
Comfortable workplace – class A offices or remote work
Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application
PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers
Investment in your growth – meetups, webinars, training platform and technology blog – you choose
Fantastic atmosphere created by all Sii Power People
Min. 5 years of hands-on experience with dbt and modern cloud data warehouses (BigQuery)
Proficiency in SQL skills and experience building well-structured, reusable models in a layered architecture
Ability to translate unclear or messy business requirements into clean, performant, and maintainable data transformations
Familiarity with Git-based workflows, version control, and CI/CD practices in analytics engineering environments
Strong sense of ownership and accountability, especially when working with business-critical data products
Comfort working in environments with high engineering and governance standards
Strong collaboration and communication skills, with the ability to engage proactively with stakeholders beyond data teams
Interest in developing expertise across domains such as payments, credit, and fraud/AML, rather than focusing narrowly on a single area
Ability to communicate effectively in English in an international environment
Fluent Polish required
Residing in Poland required
O projekcie:
We are looking for an Analytics Engineer to join Sii and a strategic project delivered for a Copenhagen-based fintech company. In this role, you will build and scale business-critical data models that drive decision-making across key domains such as credit, payments, and fraud/AML.
You will operate in an environment with high engineering standards (CI/CD, code reviews, data governance) and work on high-impact data products where reliability, ownership, and operational discipline are essential. This role involves collaboration across multiple domains and stakeholders, offering the opportunity to broaden your expertise while working on complex, real-world data challenges.
Zakres obowiązków:
Build and maintain core data models in dbt that power critical reporting and decision-making in credit, payments, and fraud/AML
Partner closely with business stakeholders, Data Engineers, and Data Analysts to define requirements, clarify ownership, and align on success criteria
Work collaboratively with both technical and non-technical stakeholders, translating complex or ambiguous business logic into scalable data solutions
Contribute to the semantic layer (LookML) to ensure consistent, scalable reporting and enable self-service analytics across multiple domains
Take ownership of data quality, implementing testing, monitoring, and documentation; proactively detect and resolve issues in business-critical data pipelines
Support reliable data workflows, including working with orchestration tools such as Airflow/Astronomer where needed
Contribute to and uphold strong analytics engineering practices, including code reviews, reusable patterns, and reducing technical debt
Balance work across multiple data domains and shared definitions, which requires adaptability and effective context switching
Oferujemy:
Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas
Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market
We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022
Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more
Comfortable workplace – class A offices or remote work
Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application
PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers
Investment in your growth – meetups, webinars, training platform and technology blog – you choose
Fantastic atmosphere created by all Sii Power People
🔍 Dekoder Ogłoszenia
🔴
Ability to translate unclear or messy business requirements into clean, performant, and maintainable data transformations
Oczekuje się, że będziesz musiał samodzielnie dociekać i doprecyzowywać niejasne lub niekompletne wymagania od biznesu.
🔴
Strong sense of ownership and accountability, especially when working with business-critical data products
Będziesz odpowiedzialny za kluczowe dla firmy dane, co może oznaczać presję i potrzebę szybkiego reagowania na problemy.
🔴
Comfort working in environments with high engineering and governance standards
Przygotuj się na rygorystyczne procesy, częste code review i konieczność przestrzegania formalnych procedur.
🔴
Interest in developing expertise across domains such as payments, credit, and fraud/AML, rather than focusing narrowly on a single area
Możesz być proszony o pracę nad różnorodnymi, często nowymi dla Ciebie obszarami biznesowymi, co wymaga szybkiego uczenia się.
🟡
Fluent Polish required
Chociaż projekt jest międzynarodowy, kluczowa jest biegła znajomość języka polskiego, co może sugerować znaczącą interakcję z polskim zespołem lub klientem.