is a knowledge centre of data analytics specialists within BASE life science.
BASE Analytics combines highly specialised knowledge across different
disciplines to create lasting value in the life science industry. We believe
that the combination of a problem-solving mindset and a tailored approach to each
client will deliver significant value and lasting impact.
currently expanding our practice area, BASE Analytics, with a handful of
dedicated and passionate analytical masterminds, who will become an essential
part of growing and defining the area of Data Engineering. BASE Analytics covers
a multitude of disciplines such as Business Intelligence, Advanced Analytics/AI
and Data Engineering. The area collaborates with other professional practice
areas within BASE life science to deliver a set of complete solutions for
customers within the life science industry.
we are looking for Senior Data Engineers with 3-10 years of experience within Data
Engineering, ideally within the Life Science industry. As a Senior Data
Engineer, your main task will be to identify and solve problems of a complex
nature through advanced analytical methods and assist to progress within
overall defined deliverables of a project. You will lead Data Engineering
projects or tracks and participate in large data centred projects requiring
in-depth knowledge of e.g. data modelling, data engineering and data governance.
Required skills and experience:
- High level of drive with an independent
approach and high genuine affinity with problem solving
- Experience designing, developing, optimizing
and troubleshooting complex data-intensive applications using Spark, HDFS,
Kafka, MapReduce, MongoDB or similar big data related technologies.
know PySpark, Python and SQL/T-SQL; comfortable with Java and/or Scala.
- Comfortable designing and implementing data
warehouse and pipelines—such as ETL/ELT, data integration, and streaming—to
support teams focused in Analytics.
and certification in AWS or/and Azure Cloud Platform.
and certification in Azure SQL Data Warehouse, AWS Redshift or/and other MPP
and certification in Mulesoft, Talend, SSIS, Azure ADF or/and Informatica
to engineer for performance, scalability, latency, & reliability.
to lead proofs-of-concepts and then effectively transition and scale those
concepts into production at scale through, engineering, deployment and
to deal with structured, semi-structured, unstructured and streaming data.
- Experience with agile frameworks like DevOps
- Ability to structure tasks and
know how to process details in an efficient manner
- Build relationships and convey complex
information to a technical and non-technical audience
- Drive and develop data engineering
best practice and skills in our analytics team
expect you to be up to date on the latest trends within Data Engineering, as we
desire likeminded people who are curious and constantly seek new knowledge.
What can we offer?
In short, we will offer you an entrepreneurial work environment where you will be able to quickly make an impact for our customers and the development of the Analytics practice area within BASE life science. Additionally, we also offer:
attractive pension scheme and set of insurances
steady growing workplace with flexible working hours
learning and development for employees
style of management and communication with direct access to top management
inspiring working environment with many social events
breakfast meetings to catch up with colleagues
events & outings
Are you intrigued?
If you want
to hear more please reach out to Partner Baptiste Mercier at +45 60 53 66 53 or email@example.com.
Want to apply?
your CV and cover letter to firstname.lastname@example.org