Data Engineer

Celsus Engineering AB; Stockholms kommun; On-site; SEK 446,400 - 669,600; Full time

Job summary

Celsus Engineering AB is looking for a data engineer to work on data engineering projects in Stockholms kommun, Sweden. The role involves designing, building, and maintaining scalable data pipelines while ensuring data quality and compliance with governance policies.

The ideal candidate has a passion for data-driven decisions, is fluent in English, and has foundational knowledge of big data and cloud technologies. Strong skills in SQL and Python are required to optimize data integration and retrieval.

Qualifications

• Passion for building data products and enabling data-driven decisions.
• Fluent in English, both written and verbal.
• Foundational knowledge of big data concepts and data modeling.

Responsibilities

• Develop and manage scalable data pipelines, ensuring efficient and reliable data flows.
• Implement processes and solutions to improve data quality, accuracy, and consistency.
• Collaborate with data scientists and software developers on data architecture.

Skills

Data pipelines

SQL

Python

ETL workflows

Cloud platforms (AWS, Azure, Google Cloud)

Job description

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.

Responsibilities

• 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.

Qualifications

• Passion for building data products and enabling data-driven decisions.
• Enjoy sharing knowledge and learning new things in the data, analytics & AI area.
• Desire to develop and maintain robust, scalable data and analytics systems.
• Ability to work both independently and collaboratively within a team environment.
• Fluent in English, both written and verbal.
• Eager to learn and have a basic understanding of working with data sets.
• Experience with ETL workflows and excited to improve skills in streamlining these processes.
• Foundational knowledge of big data concepts, cloud technologies, and data modeling.
• Strong skills in SQL and Python, focusing on efficient queries.
• Experience with cloud platforms like AWS, Azure, or Google Cloud and keen to expand knowledge.