Senior Data Engineer – pharmaceutical sector (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
- Python
- AWS
- Pandas
- AWS Glue
- Amazon Athena
- DynamoDB
Opis stanowiska
Nasze wymagania:
Minimum 5 years of experience in Data Engineering or related fields
Strong Python development skills, including object-oriented programming, design patterns, and data processing with Pandas
Hands-on experience with AWS services such as Glue, Athena, DynamoDB, Lambda, and Step Functions
Solid understanding of cloud-based architectures and scalable data engineering solutions
Experience working in Agile teams and using modern software development and project management practices
Advanced level of English
O projekcie:
We are looking for an experienced Senior Data Engineer to join a project within the pharmaceutical industry. In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that support advanced analytics and business decision-making. You will contribute to the development of a modern data platform used across diverse markets and business environments, helping to deliver high-quality, data-driven solutions on a global scale. If this opportunity sounds interesting to you, don't hesitate to apply!
Zakres obowiązków:
Develop and maintain a modern Data Engineering platform supporting data-driven business processes and analytics
Design and implement scalable data engineering solutions using modern Python development practices
Build reliable and maintainable data pipelines following object-oriented design principles
Collaborate with agile, cross-functional teams to deliver high-quality solutions
Support platform migrations, enhancements, and integrations across evolving business environments
Troubleshoot and resolve issues within existing data and processing pipelines
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
Minimum 5 years of experience in Data Engineering or related fields
Strong Python development skills, including object-oriented programming, design patterns, and data processing with Pandas
Hands-on experience with AWS services such as Glue, Athena, DynamoDB, Lambda, and Step Functions
Solid understanding of cloud-based architectures and scalable data engineering solutions
Experience working in Agile teams and using modern software development and project management practices
Advanced level of English
O projekcie:
We are looking for an experienced Senior Data Engineer to join a project within the pharmaceutical industry. In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that support advanced analytics and business decision-making. You will contribute to the development of a modern data platform used across diverse markets and business environments, helping to deliver high-quality, data-driven solutions on a global scale. If this opportunity sounds interesting to you, don't hesitate to apply!
Zakres obowiązków:
Develop and maintain a modern Data Engineering platform supporting data-driven business processes and analytics
Design and implement scalable data engineering solutions using modern Python development practices
Build reliable and maintainable data pipelines following object-oriented design principles
Collaborate with agile, cross-functional teams to deliver high-quality solutions
Support platform migrations, enhancements, and integrations across evolving business environments
Troubleshoot and resolve issues within existing data and processing pipelines
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
🔴
Develop and maintain a modern Data Engineering platform supporting data-driven business processes and analytics
Może oznaczać zarówno budowanie czegoś od zera, jak i utrzymywanie istniejącej, potencjalnie przestarzałej platformy.
🔴
design scalable data engineering solutions
Skalowalność jest często obietnicą, która może oznaczać, że obecne rozwiązania nie są skalowalne lub że dopiero będą tworzone.
🔴
using modern Python development practices
Może oznaczać stosowanie dobrych praktyk, ale też może być pustym hasłem bez konkretnych wymagań co do narzędzi czy metodologii.
🔴
Collaborate with agile, cross-functional teams
Praca w zwinnych zespołach jest standardem, ale może oznaczać również presję czasu i częste zmiany priorytetów.