Lead Data Engineer, WARSAW
- University degree (Master or PhD) in computer science or comparable,
- You have an open mindset, you are team oriented while working in an international team and you value diversity, science, scientific or engineering background, or have worked with customers from these fields before,
- You have several years of experience with building and operating data platforms with Python,
- You have experience in data modeling and architectural design,
- Moreover, you have experience integrating data sources into a data platform, building data pipelines, and modeling large data sets in distributed databases such as Snowflake, Databricks, Presto/Trino, Apache Spark/PySpark,
- You are familiar with developing data-oriented APIs, such as GraphQL as well as with graph-based data systems like triple stores,
- Knowledge of (cloud) technologies such as AWS, Terraform, Lambda functions, networking and security complete your profile,
- Fluent in English, both written and spoken. German is a plus but not mandatory.
- You feel you do not meet all 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 life balance is important to us. The position can also be taken part-time. Name your preference in your job application.
We look forward to it!
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.
In Bayer’s global Pharma Research and Development IT organization we thrive to continuously improve our existing product portfolio and create new products that support our colleagues in Pharma on their search for new (digital) therapies and the best decision within our R&D portfolio. We are seeking an excellent Lead Data Engineer (m/f/d) driven by our vision “Health for all, hunger for none”. As a Data Engineer you will be working as part of our interdisciplinary DevOps teams, where you can follow (y)our purpose and grow while working on tough challenges in a global pharma research and development setting. If you are passionate about creating cutting edge software together with scientists to help cure life-threatening diseases, we would love to hear from you.
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.
,[You define patterns and best practices for data architecture and data pipeline development while following a state-of-the-art governance framework,, You are a coach for other Data Engineers in our team and new team members joining a product team,, You create and maintain optimal data structures and pipeline architecture,, You build infrastructure required to optimally extract, transform, and load data from diverse data sources using various modern and big data technologies, , You help our team to turn scientific datasets into a data product, so that it can be further analyzed, visualized, and processed,, You identify and address risks and gaps in technical approaches and develop solutions to meet team and product goals and make your product better,, You identify the most important problems to solve, minimize scope, and assess the value of solutions,, You keep yourself informed about new tools, technologies and architecture patterns and look for opportunities to apply your findings to your tech stack,, Apply continuous delivery practices to deliver high quality data pipelines,, You participate in code reviews, pair programming sessions to improve your product and make your team more resilient.] Requirements: Python, AWS, Snowflake, Databricks, Presto, Spark, PySpark, GraphQL, Terraform, AWS Lambda Tools: Jira, Github, Asana/Notion, GitLab, GIT, SVN, Notion, Bitbucket, GitHub, SAP, Jenkins, Agile, Scrum. Additionally: Sport subscription, Training budget, Private healthcare, International projects, Company car, Conference budget, Mentoring program, Travel insurance, Annual bonus, Christmas bonus, Child allowance bonus, Life insurance, Free coffee, Bike parking, Playroom, Mobile phone, Free parking, In-house trainings, In-house hack days, Modern office.