Celsus Engineering AB
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In this role, you will work with our customers on various data engineering projects. This role
is perfect for those with a good foundation in data engineering, and a passion for operational
excellence in data management and analytics. You will design, build, and maintain efficient,
scalable data pipelines and work closely with data scientists, analysts, and stakeholders to
deliver customized data solutions that drive impactful business decisions.
Develop and manage scalable data pipelines, ensuring efficient and reliable data flows.
Implement processes and solutions to improve data quality, accuracy, and consistency.
Create scripts and tools to automate repetitive tasks, improving efficiency and reducing manual work.
Build and maintain data integrations, including file, messaging, and API-based systems.
Develop data models tailored to meet business requirements.
Contribute to implementing infrastructure as code solutions.
Collaborate with data scientists, architects, and software developers to support the
creation of data architecture and governance models.
Enhance the performance of existing data pipelines, optimizing queries and indexing for faster data retrieval.
Implement security measures to protect data from unauthorized access.
Ensure compliance with data governance policies and regulatory requirements, maintaining documentation and data lineage.
Monitor cost efficiency and identify areas for optimization.
You are passionate about building data products and enabling data-driven decisions.
You enjoy sharing knowledge and learning new things in the data, analytics & AI area.
You want to develop and maintain robust, scalable data and analytics systems.
You have the ability to work both independently and collaboratively within a team environment.
Fluent in English both written and verbal.
You are eager to learn and have a basic understanding of working with data sets
You are gaining experience with ETL workflows and excited to improve your skills in
streamlining these processes.
You have a foundational knowledge of big data concepts, cloud technologies, and data modeling.
Your skills in SQL and Python are strong, with a focus on writing efficient queries.
You are gaining hands-on experience with cloud platforms like AWS, Azure, or Google
Cloud and are keen to expand your knowledge.