Job description

Client: pharmaceutical industry

Hourly Rate: up to 160 PLN + VAT

Work arrangement: 100% remote, full-time

For Client from BigPharma sector we are looking for Data Engineer.

As a Data Engineer, you will be an integral member of the Data Harmonisation Layer (DHL) Agile team. DHL is a global platform designed to collect and harmonize of data from various Operational Technology (OT) data sources across company production facilities. DHL makes data easily accessible to develop several front-end Manufacturing Intelligence (MI) products, focusing on improving our production processes. Key technologies used in DHL are Kafka, Ignition, and AWS services.

You will be part of the Manufacturing Intelligence (MI) department. Our vision is to enable data using cutting-edge technologies and empower our colleagues in Product Supply to make data-driven decisions to continuously improve manufacturing processes, in short #EnableDataEmpowerDecisions.

Responsibilities:

• Software development activities i.e., writing, reviewing, refactoring, testing, and documenting the code base

• Build production ready stable and scalable data pipelines

• Act as a trusted advisor to provide technical expertise on one or more projects for our business partners

• Work with the Agile teams to understand and handling enabler work and work towards technical agility

• Contribute in Agile events such as Program Increment (PI) planning, system demos, and Inspect and Adapt (I&A)

Requirements:

• A master’s degree in computer science, engineering, chemistry, biology, or other relevant fields

• Experienced with data engineering principles such as data warehousing, batch processing, data streaming, data lakes, databases, and data modelling

• Experience with Databricks is a must

• Experience with building CI/CD pipelines

• Coding/scripting skills (Bash, Python, or similar)

• Hands-on experience with IaC for managing the cloud

• Strong mathematical, statistical, and problem-solving skills

Nice to have:

• Experience with various Operational Technology (OT) data sources across the company's production facilities

• Hands-on experience in AWS services such as Lambda, Glue, IAM, Kinesis, MKS, Step Functions, DMS, RDS, Managed Grafana, SNS, S3, CloudWatch, etc

• Experience with Azure