Digital Hub Senior Data Engineer
- offer expired 2 months ago
- contract of employment
- specialist (Mid / Regular), senior specialist (Senior)
- home office work
- remote recruitment
Technologies we use
About the project
Senior Data Engineers are full members of an agile development team. They interact with product management, customers, and engineers on their and related teams while applying their own experiences to build relevant technical solutions to business problems. They seek out and own mid- to long-term deliverables while refining their domain and technical knowledge and also mentor and coach more junior engineers, while building relationships with senior engineers across the company.
Lead and participate in design sessions with Enterprise and Hub Data Stewards, Engineering teams, Data Scientists, Product Managers, business and IT stakeholders, that result in design documentation for data processing, storage and delivery solutions.
Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders, and apply this knowledge to identifying business problems that could be solved.
Evaluate new technologies, like Domino or Redshift, or new languages, like Go or React, including performing POCs and presenting results to others, with a goal of providing technical recommendations
Challenge the team to improve processes and methodologies, like SCRUM or Kanban, and/or initiate piloting new ones
Implement data solutions according to design documentation using a variety of tools and programming languages, like Kafka, SQL and non-SQL databases, Scala, Go etc., following team’s established processes and methodologies, like SCRUM or Kanban
Facilitate and participate in code reviews, retrospectives, functional and integration testing and other team activities focused on improving quality of delivery
Provide reliable estimates for short term projects and assist in large scale project estimation
Collaborate with other data engineers and stewards within the team and across data, technical platforms and product teams on aligning roadmaps, delivery dates and integration efforts
Mentor junior and aspiring Data Engineers on the team and across the data community
Represent the team at various cross team meetings and events focused on design and planning, like Scrum of Scrums and Release Planning, sharing the results of team efforts, or brainstorming on process improvements
Create and maintain design and code documentation in GitHub, Haystack, SharePoint and/or another repositories used by the team
Bachelor’s degree in Computer Science, Software Engineering, or related field, with 5+ years professional software engineering experience or Master's degree with 3 year's relevant experience or PhD with 1 year relevant experience or 9+ years of relevant experience is an acceptable substitute for degree requirement
Professional software engineering experience to include:
- 3+ years experience engineering data intensive software using streaming and resource based design principles
- 2+ years experience in least one NoSQL database, such as (but not limited to) Neo4j, Cassandra, etc.
- 3+ years fluency in an object oriented or functional language such as Java, Scala, Go, etc.
Demonstrated experience with data architecture and modeling, including designing both logical and physical models for datasets
Proficiency in working with relational databases such as Postgres, MySQL, Oracle, etc.
Proven experience modeling large datasets in distributed databases such as (but not limited to) Apache Cassandra, Spanner, etc.
Strong interpersonal skills and desire to work in a highly collaborative environment
Familiarity with the relevant industry trends
Desired experience with:
Agriculture, life sciences, bioinformatics, biochemistry, genetics, biology, or a related disciplines
Platform-as-a-Service software such as Cloud Foundry or Kubernetes
Stream processing, e.g. Kafka, Spark Streaming, Akka, etc.
Knowledge of machine learning or other data science practices
What we offer
Hybrid working style
Full time employment contract
Wide range of development opportunities
Attractive benefits package
Good working conditions and comfortable working environment
Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change
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.