Data Engineer-1

 

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.

 

Data Engineer-1 

 

At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 15 360 with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.

This position is eligible for variable pay components, such as 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:

- Medical care above statutory requirements

- Flexible benefits supporting leisure, and well‑being/sports programs

- Life, accident, and disability insurance through group coverage

- Employer‑supported pension plans with regular company contributions

- Home office allowance to support hybrid or remote work

- Extra Paid Holidays

Benefits may vary depending on country, role, and employment conditions.

For Digital Hub Warsaw, we are looking for:

Data Engineer

Join the EMEA DevOps team as a Data Engineer supporting data-driven Digital Applications. You will focus on data integration, analytics enablement, and operational reporting by designing scalable ETL/ELT pipelines, building reliable data models, integrating operational and cloud-based data sources, and delivering high-quality Power BI semantic models, dashboards, and reports.

     

Key Tasks & Responsibilities:

• Design and implement scalable ETL/ELT pipelines and data models.
• Integrate and transform data from operational and cloud-based sources.
• Develop and maintain Power BI semantic models, dashboards, and reports.
• Monitor data pipelines, troubleshoot data issues, support incident resolution, and maintain reporting reliability.
• Ensure the quality, performance, and reliability of data products.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into data solutions.
• Optimize and maintain existing reporting solutions.

 

Qualifications & Competencies (education, skills, experience):

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of experience in data engineering, data integration, analytics engineering, business intelligence, or digital application operations.
• Proficiency in programming languages such as Python and SQL.
• Experience with ETL/ELT processes and tools, such as AWS Glue, Airflow, dbt, Azure Data Factory, or comparable technologies.
• Knowledge of SQL and NoSQL databases, including relational database concepts.
• Proficiency with cloud platforms such as AWS.
• Experience with RESTful APIs and data integration.
• Experience with Power BI, including semantic models, dashboard development, and report maintenance.
• Ability to work closely with technical and business stakeholders to solve problems and collaborate effectively across teams.
• Strong analytical and communication skills.
• Fluent English; German language skills are preferred.

 

Ideal Candidate Profile

The ideal candidate is a hands-on Data Engineer with strong experience in ETL/ELT, Python, SQL, AWS, RESTful APIs, and Power BI. They are comfortable translating business and technical requirements into reliable data solutions, maintaining reporting products, troubleshooting operational issues, and collaborating effectively across technical and business teams.

    YOUR APPLICATION      

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, 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.
Bayer respects and applies the Whistleblower Act in Poland.

          Location: Poland : Mazowieckie : Warszawa      Division:  ME   Reference Code: 874953     

 

 

Location:

Poland : Mazowieckie : Warszawa  

 

Division:

ME

 

Reference Code:

874953