Data Analytics Engineer (f/m/x)
Offer summary

(Summary generated by AI based on the full job description)

The project involves fintech and focuses on building and scaling business-critical data models across credit, payments, and fraud/AML domains. Key technical requirements include dbt, BigQuery, SQL, Git, CI/CD, and orchestration tools like Airflow/Astronomer. Responsibilities cover creating and maintaining data models, collaborating with stakeholders, ensuring data quality, developing semantic reporting layers, and participating in code reviews and technical debt management.

new

Data Analytics Engineer (f/m/x)

Company: Sii Sp. z o.o.

from: 1 July 2026
to: 31 July 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:remote • hybrid • full office
Białystok, Centrum
Białystok, CentrumJózefa Marjańskiego 3View on map

Requirements

Expected technologies

Data Built Tool
LookML
Looker
SQL
Git
BigQuery
Data Governance
Data Modeling

Optional technologies

Apache Airflow
AML

Our requirements

  • 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

Your responsibilities

  • 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

About the project

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.

This is how we work on a project

  • Continuous Deployment
  • Continuous Integration
Company

What we offer

  • 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

Recruitment stages

  • 1.
    Send your CV
  • 2.
    Talk to us about your expectations
  • 3.
    Learn more about our projects and choose the best
  • 4.
    Start your adventure with Sii!

Sii Sp. z o.o.

Sii is the leading technology consulting, digital transformation, engineering, and business services vendor in Poland. We already employ more than 7 300 professionals and implement projects in a variety of industries for clients from many countries around the world. The Great Place to Work title, won 10 times in a row, proves that at Sii, we create a friendly work environment.
Sii ensures that all employment-related decisions are made solely on the basis of qualifications and competencies. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promoting a diverse and inclusive work environment.

This is how we work

Data Analytics Engineer (f/m/x)
I apply to:
Sii Sp. z o.o.
Białystok, Centrum
Pracodawca zbiera zgłoszenia przez swój system.
Przejdziesz na zewnętrzny formularz.

By clicking "Aplikuj" you confirm that you've read and accepted our Terms and Conditions.


This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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.

Share this offer