Data Engineer
⚲ Warszawa, Novi Sad, Chișinău, Bosnia and Herzegovina
2 800 - 5 000 USD brutto (ANY)
Wymagania
- SQL
- Python
- DBT
Opis stanowiska
Andersen is hiring a Data Engineer for a project developing analytical data platforms, scalable DBT pipelines, and data solutions supporting reporting and business decision-making.
The customer is a UK-based financial services provider focused on delivering modern digital banking solutions for consumers. The company develops technology-driven financial products designed to improve accessibility, operational efficiency, and customer experience. By leveraging cloud technologies and modern engineering practices, it continuously enhances its digital capabilities while supporting sustainable growth in a highly regulated financial environment.
The project is focused on developing and maintaining analytical data capabilities for reporting, business analysis, and product decision-making. It includes DBT-based transformation pipelines, analytical data models, and data marts that consolidate data from multiple sources while ensuring data quality, scalability, and reliable delivery for downstream users.
Responsibilities:
• Developing and maintaining data transformation pipelines using DBT.
• Designing and enhancing analytical data models and data marts.
• Working with multilingual data models and complex data transformation logic.
• Troubleshooting and resolving data quality and production issues.
• Supporting production releases and investigating incidents when required.
• Collaborating with Data Architects, Analysts and Product teams to deliver new data capabilities.
• Participating in onboarding and sharing knowledge within the team.
Requirements:
• Experience as a Data Engineer for 3+ years.
• Strong SQL skills.
• Commercial experience with DBT.
• Experience with Python.
• Experience with AWS Glue (PySpark), Lambda (Python), AWS design, Cloudformation/Terraform.
• Experience with modern data warehousing concepts (ELT, dimensional modelling, data marts).
• Experience working with cloud data platforms (Snowflake, BigQuery, Redshift or similar).
• Understanding of Git and CI/CD processes.
• Ability to investigate production issues and optimize existing data models.
• Level of English – from Intermediate+ and above.
Nice-to-haves:
• Experience with BI/reporting tools.
• Experience in Financial Services or Banking projects.
Reasons why this job would be interesting to you:
• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and compensation for sports activities.
Join us!
Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl
The customer is a UK-based financial services provider focused on delivering modern digital banking solutions for consumers. The company develops technology-driven financial products designed to improve accessibility, operational efficiency, and customer experience. By leveraging cloud technologies and modern engineering practices, it continuously enhances its digital capabilities while supporting sustainable growth in a highly regulated financial environment.
The project is focused on developing and maintaining analytical data capabilities for reporting, business analysis, and product decision-making. It includes DBT-based transformation pipelines, analytical data models, and data marts that consolidate data from multiple sources while ensuring data quality, scalability, and reliable delivery for downstream users.
Responsibilities:
• Developing and maintaining data transformation pipelines using DBT.
• Designing and enhancing analytical data models and data marts.
• Working with multilingual data models and complex data transformation logic.
• Troubleshooting and resolving data quality and production issues.
• Supporting production releases and investigating incidents when required.
• Collaborating with Data Architects, Analysts and Product teams to deliver new data capabilities.
• Participating in onboarding and sharing knowledge within the team.
Requirements:
• Experience as a Data Engineer for 3+ years.
• Strong SQL skills.
• Commercial experience with DBT.
• Experience with Python.
• Experience with AWS Glue (PySpark), Lambda (Python), AWS design, Cloudformation/Terraform.
• Experience with modern data warehousing concepts (ELT, dimensional modelling, data marts).
• Experience working with cloud data platforms (Snowflake, BigQuery, Redshift or similar).
• Understanding of Git and CI/CD processes.
• Ability to investigate production issues and optimize existing data models.
• Level of English – from Intermediate+ and above.
Nice-to-haves:
• Experience with BI/reporting tools.
• Experience in Financial Services or Banking projects.
Reasons why this job would be interesting to you:
• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and compensation for sports activities.
Join us!
Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl
🔍 Dekoder Ogłoszenia
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developing analytical data platforms, scalable DBT pipelines, and data solutions supporting reporting and business decision-making
Może oznaczać zarówno budowanie od zera zaawansowanych platform, jak i pracę nad istniejącymi, które mogą być w różnym stanie technicznym.
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The customer is a UK-based financial services provider focused on delivering modern digital banking solutions for consumers.
Praca w branży finansowej często wiąże się z rygorystycznymi regulacjami i potrzebą zapewnienia wysokiego poziomu bezpieczeństwa danych.
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By leveraging cloud technologies and modern engineering practices
Określenie 'modern engineering practices' jest ogólne i może oznaczać szeroki zakres technologii i metodologii, od dobrze zdefiniowanych po eksperymentalne.
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Working with multilingual data models and complex data transformation logic.
Może oznaczać pracę z danymi w różnych językach lub z modelami danych, które są skomplikowane ze względu na strukturę lub wymagania biznesowe.
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Troubleshooting and resolving data quality and production issues.
Może sugerować, że istniejące problemy z jakością danych i produkcją, które będą wymagały ciągłego rozwiązywania.