Position: Senior Data Engineer
Company: DLIMI
Experience required: 5y
English level: upper

Cloud-native, Azure platform with cutting-edge technology stack and open-source frameworks, such as Kubernetes/Docker, DAPR, EventHub/Kafka, Postgres, MongoDB, Terraform, Let’s encrypt, .NET Core, Vue.js, DataBricks/Apache Spark/Data Lake, etc.

A distributed and remote team needs Senior Data Engineer to build the leading Life Science Industry’s cloud platform in Denmark.

DLIMI is looking for a senior data engineer with extensive hands-on experience in designing and implementing data pipelines, and event-driven microservices that run on Azure and Kubernetes. Ideally, you have experience with the modern data stack from both the engineering and analytics sides.

**About DLIMI**
DLIMI (DLI Market Intelligence) uses a unique and multi-dimensional view of healthcare data to provide the best and most comprehensive Business Intelligence (BI) solutions that enable our clients to increase market share and stay ahead of the competition. 
Presently, we are in the process of transitioning from a traditional product package of BI tools to building holistic solutions that run across apps, websites, and other platforms for our customers to use the products we build.

The platform we are building services the entire Scandinavian Life Science Industry with daily, weekly, and monthly data on the sale and usage of medicines in both hospitals and pharmacies. The platform is an event-driven solution by fully applying the event-driven architecture paradigm alongside modern thinking, such as evolutionary architectures, event-storming, microservice as evolutionary architecture, incremental design, continuous delivery, design for observability, automation, etc.
This means we strive to build a cloud-native and vendor-agnostic solution. This we do by using a cutting-edge technology stack and open-source frameworks, such as Kubernetes/Docker, DAPR, EventHub/Kafka, Postgres, MongoDB, Terraform, Let’s encrypt, .NET Core, Vue.js, DataBricks/Apache Spark/Data Lake, etc.

**Your Profile**
We are looking for a disciplined, senior data engineer with a penchant for also building .NET microservices.

The senior data engineer should have extensive hands-on experience in designing and implementing data pipelines. Ideally, you have experience with the modern data stack from both the engineering and analytics sides.

You will become a part of a highly motivated Datalyze team that is part of the business unit: Innovation & Technology which has a positive, relaxed, and informal atmosphere, where vigorous discussion and collaboration are key. The business unit consists of about 15 people across BAs, devs, architects and other flexible project contributors from the pharmaceutical industry.

As a data engineer, you will be responsible for the design, development, coding, testing and debugging of data pipelines. You will coordinate closely and advise with the Solution Architect, Milos, and advise the Enterprise Architect, Lars, to ensure that logical and system architecture matches the requirements of the business.
Additionally, you will be expected to provide feedback and suggestions for process and product improvement and act as a technical mentor and adviser.

Besides being responsible for building data pipelines — the senior Data engineer is expected to assume the following responsibilities:
- Model datasets both for internal and external consumption
- Establish and maintain the data documentation to ensure that business and data analysts use the same definitions and language
- Define data quality metrics and standards
- Set software engineering best practices for analytics (DataOps)
- Close collaboration with other team members and business stakeholders
- Good knowledge and experience with a modern data stack
- Ingestion (we use Kafka)
- Storage (we use DeltaLake)
- Data transformation (any, dbt is preferable)
- Data governance, data catalogue, data quality (any)
- BI and headless BI (any)

Expected skills:
- Spark
- Python or Scala
- SQL

Good additional skills and experience:
- Public cloud (Azure, AWS, etc.)
- NoSql db (key-value, document, graph, etc.)
- Databricks
- Terraform
- Python or scala not only for DE tasks (be able to create service)
- Orchestration tools (airflow, luigi, argo etc.)
- Docker
- TDD

We know skills and competencies manifest in many ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position.

**Interested?**
The recruitment process is carried out in collaboration with Director of Innovation & Technology, Simon, backend developer, Iliya, Enterprise Architect, Lars, and Solution Architect, Milos. If you are interested in hearing more about this position, please do not hesitate to contact Simon directly and submit your application and CV as soon as possible. Applications will be processed on an ongoing basis.
Please note that all enquiries will be handled with confidentiality and that we will reply to the email address from which you send your CV.

**What we offer**
DLIMI is located within the Life Science House in Denmark, Copenhagen.  DLIMI is a high-end meeting place for the life science sector featuring great facilities and sporting lofty ceilings. The personal package includes both financial incentive schemes, as well as an emphasis on a place for employee development, training, and education through continuous personal development.
This position, however, is a full-time remote position. If at a later stage there is mutual interest in a relocation this position can be converted to a full-time position in company headquarters in Denmark, Copenhagen.

You will become a part of a highly motivated team with a positive, relaxed, and informal atmosphere, where vigorous discussion and collaboration are key. The Data Science team is in the Innovation & Technology department. It is the department’s role to facilitate innovation and that means enablement of specialist knowledge intrinsic to the organisation. We need to bridge pharma-, software-, data- and product development, identify valuable innovation initiatives and move quickly from idea to concept, to product launch and into operations.