Data engineer - Careium
Sign up free to see how well your resume matches this role.
What you'll do
- Implementing and expanding our central data lake and data warehouse, building upon the completed initial design and its main components.
- Setting up and maintaining robust ETL/ELT pipelines to ingest data from various internal and external sources.
- Continuing the groundwork of our event-driven platform enabling real-time alarm data and user activity.
- Moving existing data integrations and legacy data streams onto the new modern platform.
- Getting data documentation, a data catalogue, and data governance frameworks in place.
- Collaborating with DevOps colleagues in the team to automate data infrastructure deployments and monitoring.
- Coaching developers and analysts in data engineering best practices and efficient querying.
What they're looking for
- Solid hands-on experience from a Data Engineering role
- Genuine interest in cloud architecture, data modeling, and streaming data
Nice to have
- DevOps mindset regarding automation, containerization, and infrastructure as code is a big plus
- Experience with Python, Bash, Ansible, Terraform, or equivalent
- Experience with AWS, or other cloud providers
- Experience with Docker, Kubernetes, or equivalent
- Experience with streaming and event-hub technologies like Apache Kafka, RabbitMQ, or AWS Kinesis
- Experience with data transformation and orchestration tools (dbt, Apache Airflow, or similar) as well as modern data warehousing
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Careium is looking for a Data Engineer to help us shape and build a modern data and delivery platform from the ground up. If you have a strong drive to do things properly and take ownership of your work, then this is the job for you.
About Careium
Careium delivers solutions within personal safety and connected care. We have a global presence but work with a strong local feel, and right now we are in a phase where there is real work to be done - automation, data infrastructure, and smarter ways of building and shipping software are all on the table.
About the Role
As a Data Engineer in the platform team, you will be the driving force behind our data infrastructure. You will work closely with both software developers and the wider organization to ensure that our data is accessible, reliable, and structured for the future.
Day to day you will be working with things like:
Implementing and expanding our central data lake and data warehouse, building upon the completed initial design and its main components.
Setting up and maintaining robust ETL/ELT pipelines to ingest data from various internal and external sources.
Continuing the groundwork of our event-driven platform enabling real-time alarm data and user activity.
Moving existing data integrations and legacy data streams onto the new modern platform.
Getting data documentation, a data catalogue, and data governance frameworks in place.
Collaborating with DevOps colleagues in the team to automate data infrastructure deployments and monitoring.
Coaching developers and analysts in data engineering best practices and efficient querying.
Who We Are Looking For
You should have solid hands-on experience from a Data Engineering role and a genuine interest in cloud architecture, data modeling, and streaming data. Since you will be part of a platform team, a DevOps mindset regarding automation, containerization, and infrastructure as code is a big plus.
It helps if you have worked with tools like:
Python, Bash, Ansible, Terraform, or equivalent.
AWS, or other cloud providers.
Docker, Kubernetes, or equivalent.
Streaming and event-hub technologies like Apache Kafka, RabbitMQ, or AWS Kinesis.
Data transformation and orchestration tools (dbt, Apache Airflow, or similar) as well as modern data warehousing.
Just as important as the technical side, you communicate well, you are easy to work with, and you bring a calm, structured approach when things get complicated. You follow through on what you commit to, and you are not afraid to flag when something is not working.
Practical Information
Location: Malmö
Scope: Full-time
Work model: Hybrid, as agreed
Employment type: 6-month assignment through A-hub.
The recruitment process is managed by A-hub. Questions about the role are answered by the recruiter responsible.
Company
Company facts come from this company's own listings. We only show what the postings themselves carry.