Data Engineer

Descrizione del lavoro:

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

For Digital Hub Warsaw, we are looking for:

Data Engineer

A data engineer delivers the designs set by more senior members of the data engineering community. Individuals in this role will:

* Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems

* Document source-to-target mappings

* Re-engineer manual data flows to enable scaling and repeatable use

* Support the build of data streaming systems

* Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally

* Develop business intelligence reports that can be reused

* Build accessible data for analysis

Key Tasks & Responsibilities:

Communicating Between Technical and Non-Technical Colleagues

* Show an awareness of the need to translate technical concepts into non-technical language

* Understand what communication is required with internal and external stakeholders

Data Analysis and Synthesis

* Undertake data profiling and source system analysis

* Present clear insights to colleagues to support the end use of the data

Data Development Process

* Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both

* Create repeatable and reusable products

Data Innovation

* Show an awareness of opportunities for innovation with new tools and uses of data

Data Integration Design

* Deliver data solutions and integration pipelines in accordance with agreed organizational standards that ensure services are resilient, scalable and future-proof

Data Modeling

* Explain the concepts and principles of data modeling

* Produce, maintain and update relevant data models for an organization's specific needs

* Reverse-engineer data models from a live system

Metadata Management

* Work with metadata repositories to complete complex tasks such as data and systems integration impact analysis

* Maintain a repository to ensure information remains accurate and up to date

Problem Resolution

* Explain the types of problems in databases, data processes, data products and services

Programming and Build

* Design, code, test, correct and document simple programs or scripts under the direction of others

Technical Understanding

* Understand the core technical concepts related to the role, and apply them with guidance

Testing

* Correctly execute test scripts under supervision

* Understand the role of testing and how it works

Qualifications & Competencies (education, skills, experience):

* Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field

* Proficiency in programming language such as Python or Java.

* Experience with Big Data technologies such as Hadoop, Spark, and Kafka

* Familiarity with ETL processes and tools

* Knowledge of SQL and NoSQL databases

* Strong understanding of relational databases

* Experience with data warehousing solutions

* Proficiency with cloud platforms

* Expertise in data modeling and design

* Experience in designing and building scalable data pipelines

* Experience with RESTful APIs and data integration

Preferred

* Relevant certifications (e.g., GCP Certified, AWS Certified, Azure Certified)

* Strong analytical and communication skills

* Ability to work collaboratively in a team environment

What do We offer:

* A flexible, hybrid work model

* Great workplace in a new modern office in Warsaw

* Career development, 360° Feedback & Mentoring program

* Wide access to professional development tools, training, & conferences

* Company Bonus & Reward Structure

* VIP Medical Care Package (including Dental & Mental health)

* Holiday allowance ("Wczasy pod gruszą")

* Life & Travel Insurance

* Pension plan

* Co-financed sport card - FitProfit

* Meals Subsidy in Office

* Additional days off

* Budget for Home Office Setup & Maintenance

* Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs

* Tailored-made support in relocation to Warsaw when needed

Please send your CV in English

You feel you do not meet all the criteria we are looking for? That doesn't mean you aren't the right fit for the role. Apply with confidence, we value potential over perfection.

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

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:

Enterprise Data & Analytics

Reference Code:

858640

Location:

Poland : Mazowieckie : Warszawa

Division:

Enterprise Data & Analytics

Reference Code:

858640