Praca w miastach:Praca IT Warszawa•Praca IT Kraków•Praca IT Wrocław•Praca IT Szczecin•Praca IT Poznań•Praca IT Lublin•Praca IT Katowice•Praca IT Bydgoszcz•Praca IT Łódź•Praca IT Białystok•Praca IT Toruń•Praca IT Gdańsk
Stanowiska:Grafik komputerowy praca•Tester gier praca•Programista praca•Tester oprogramowania praca•Frontend Developer praca•Data scientist praca•Tester manualny praca•Tester praca•Analytics praca•Tester aplikacji praca•Programista java praca•Web developer praca
Technologie i narzędzia:Python praca•Cyberbezpieczeństwo praca•Java praca•Bazy danych praca•Cisco praca•C++ praca•Javascript praca•SQL praca•Business Intelligence praca•Delphi praca•Wordpress praca•Testowanie aplikacji praca•C# praca•PHP praca
Specjalizacje:Backend praca•Devops praca•Frontend praca•Full-stack praca•GameDev praca•Mobile praca•Embedded praca•Architecture praca•QA/Testing praca•Security praca•AI/ML praca•Big data science praca•Helpdesk praca•IT admin praca•Agile praca•Product Management praca•Project Management praca•UX/UI praca•Business analytics praca•SAP & ERP praca•System analytics praca•PO/PM praca•Scrum master praca•Analityka praca•Data analytics & BI praca
Offer summary
(Summary generated by AI based on the full job description)
The project focuses on developing advanced analytical solutions and digital transformation in consumer and commercial data areas. Key technologies include Azure Databricks, ADF, Azure Container Services, SQL, Python, R, PowerBi/Tableau. Responsibilities cover leading analytic projects, data quality oversight, data source integration and coordination of teams and vendors. Salary starts at 10,480 PLN with an 18% bonus and benefits like medical care and remote work options.
from: 4 August 2026
to: 3 September 2026
25 760 - 32 300 złgross/ mth.contract of employment (full-time)
Salary details
+ bonus (18%) + autorskie koszta uzyskania przychodów (40%) + samochód służbowy
Offer parameters
level:expert
working mode:hybrid
location:Warszawa, Masovian
Warszawa, Masovian
Requirements
Operating system
Windows
Our requirements
- Bachelor/Master degree in Computer Science, Engineering, or similar subject
- 8+ years' working experience in a data related area, 5+ years in the field of Data & Analytics, preferably in the area of Commercial/Marketing, e.g. eCommerce, CPG/FMCG industry
- Excellent data architecture & technology knowledge, data engineering & data management skills (e.g. data quality).
- Excellent Technology knowhow in Azure Databricks, ADF, Azure Container Services and architecture for AI applications (RAG, Langraph, Langchain etc.), nice to have: AzureML & Snowflake. Programming languages like SQL, Python, R and BI/reporting solutions like PowerBi/Tableau.
- Profound business and data content knowledge of respective business domain: consumer - & commercial (consumer activation, ecommerce, sell-out and pos data, sell-in data) and M&S process knowhow
- Experience in steering implementation teams from external vendors or internal engineers on a technical and organizational level.
- Problem solving and analytical skills, combined with impeccable business judgement.
- Interpersonal and communication skills, active listening, consulting, challenging, presentation skills, fluent in English (written & spoken)
- Intercultural awareness (Europe, US, India) and willingness to travel occasionally
Your responsibilities
- Lead technical implementation analytic projects in the area of Consumer (e.g. Consumer Activation, eCommerce etc.) and /or Customer (CRM, Retailer business). Ensure providers or internal developer teams follow our best practices and design principles as a solid foundation to deliver fit-for purpose & scalable data products for analytics use cases.
- Design, lead and manage the integration of different data sources (e.g. macroeconomics data, consumer insights, Social media listening & unstructured data assets as well as sell-out, CRM and financial data etc.) and the design of reusable data models and/or marts in order to meet the business requirements
- Contribute to creation of data management and steer implementation of proper data management processes & solutions leveraging best practices and joint methodologies to be developed with core data asset architects (e.g. event-based data management).
- Initiate and prepare Architecture Change Advisory Boards and collaborate with other data architects, business functions, analytics leads, data science teams and platform architects in order to reuse data and ensure sustainable pipelines and analytical products are built.
- Collaborate with business functions (global & regional business stakeholders) and other IT teams (core data asset architects, analytics teams, data science teams, platform product managers & integration architects) to ensure delivery in line with value, business priorities and IT objectives.
- As a technical lead, steer external providers and internal implementation teams, guide them as architect and lead engineer, provide cost and time estimations, challenge vendor costs and assure quality delivery of vendor implementations & proper handover to support.
- Contribute to the enrichment of our key cloud-based data & analytics technology stacks according to the needs of the analytics products in your area of responsibility
About the project
The Data Assets, Analytics & AI team at Bayer Consumer Health focuses on bringing digital transformation and innovation by creating best in class analytical solutions enabling data-driven decision making and performance optimization for Bayer Consumer Health organization.
You will be part of the Data Assets, Analytics & AI organization and are responsible to technically guide projects in the area of core data assets and/or commercial analytics projects such as e.g. eCommerce Analytics. You partner with other data architects, business stakeholders, data scientists, analytics leads as well as implementation partners/vendors to build our core data assets and/or analytical products. You ensure a proper data management, data ingestion and data pipeline orchestration and that a scalable and well performing analytical product is build. If you are interested in joining a young and dynamic team driving the digital transformation of Bayer Consumer Health, we would like to hear from you.
Bayer is an Equal Opportunity Employer. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s).
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
We kindly inform that we will only contact selected candidates.
Bayer welcomes applications from all individuals regardless of race, national origin, gender, age, physical characteristics, social origin, disabilities, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression, or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Please send your CV in English
What we offer
At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices.
The minimum gross monthly salary for this role is 10.480,00 PLN. The final salary will be determined based on objective factors such as professional experience, qualifications, scope of responsibility.
This position is be eligible for variable pay components, such as annual or performance-based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.
In addition, Bayer offers a competitive and holistic benefits package, including:
- Supplementary medical services
- Flexible benefits supporting leisure and well-being
- Life, accident, and disability insurance
- Employer-supported pension plans
- Home office allowance to support hybrid or remote work
- Additional paid leave
Benefits may vary depending on role and employment conditions.
Benefits
- private medical care
- life insurance
- remote work opportunities
- flexible working time
- dental care
- retirement pension plan
- extra social benefits
- pre-paid cards
- extra leave
Bayer
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where, Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
This is how we work
Lead Data Architect - Marketing & Sales
25.8k–32.3k zł / mth. (CoE)
I apply to:
Bayer
Warszawa, Masovian
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 is how the employer processes your data
Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez BAYER sp. z o.o. z siedzibą w: Aleje Jerozolimskie 158, 02-326 Warszawa (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu.
Twoje dane osobowe będą przetwarzane w oparciu o następujące podstawy prawne: (a) aby podjąć działania na Twoje żądanie przed zawarciem umowy (np. informacje o oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę, która wyrażona jest poprzez przeslanie dokumentów aplikacyjnych zawierających takie informacje jak np. wizerunek czy zainteresowania.
Podanie wszystkich danych osobowych, o których mowa powyżej jest dobrowolne, natomiast dane wymienione w lit. a) i b) są niezbędne do wzięcia udziału w rekrutacji. Niepodanie danych skutkuje brakiem możliwości rozpatrzenia kandydatury. Podanie pozostałych danych jest dobrowolne, ale może pomóc w sprawnym przeprowadzeniu procesu rekrutacji.
Masz prawo żądać dostępu do Twoich danych (w tym uzyskania ich kopii), sprostowania danych, ich usunięcia, ograniczenia przetwarzania, przeniesienia, jak również wniesienia sprzeciwu wobec ich przetwarzania. Masz także prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych.
Twoje dane osobowe mogą zostać przekazane dostawcom usługi publikacji ogłoszeń o pracę, dostawcom systemów do zarządzania rekrutacjami, dostawcom usług IT (hosting), dostawcom systemów informatycznych.
Podane przez Ciebie dane osobowe nie będą wykorzystywane w celu profilowania albo podejmowania decyzji w sposób zautomatyzowany.
Twoje dane osobowe będą przetwarzane przez okres maks. 1 roku od zakończenia publikacji ogłoszenia, chyba, że wyraziłeś odrębną zgodę na wykorzystanie Twoich danych osobowych w przyszłych rekrutacjach.
W celu realizacji praw lub w przypadku jakichkolwiek pytań związanych z przetwarzaniem Twoich danych osobowych skontaktuj się z nami pod adresem: [email protected].
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.