Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
About the role
- Data Engineer driving data innovations and building analytics platforms for Kramp's digital transformation. Collaborating in an international Data Office team utilizing modern technologies.
Responsibilities
- Build and maintain Kramp's data-driven future through data innovations
- Enable modern, secure, and scalable data infrastructure that ingests raw data
- Create foundational pipelines and future-ready AI tools
- Collaborate within an international cross-functional Data Office team
- Utilize a state-of-the-art cloud data warehouse with tools like Python, Java, BigQuery SQL
Requirements
- Experience in designing, developing, documenting, and maintaining software written in Python and/or Java as well as dataflows written in SQL
- Knowledge of different Data Modelling principles and selecting the right one depending on the needs of a consumer
- Feeling comfortable working with Linux, git, and Docker to extend and maintain our CI/CD workflows and pipelines or are you eager to dive into this topic
- Experience in working in cloud environments (preferably GCP or AWS)
- Experience or knowledge of Infrastructure-as-Code applications like Terraform and data transformation tools as dbt and Dataform
- Cultural awareness, sensitivity, and adaptability in building connections with people from diverse backgrounds
- Excel conceptual thinking and a proactive approach to decision-making, taking ownership to ensure project success
Benefits
- 25 vacation days and 12 ADV days (based on a fulltime contract)
- Flexible working policy in hours and location
- Travel- and working from home allowance
- Profit sharing bonus
- Budget for training and courses
- Generous pension plan
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.