Junior Data Engineer
Workplace: Stockholm, Sverige
Expires: September 12, 2025
We are looking for a motivated and detail-oriented Junior Data Engineer to join our BFS analytics team. This role involves supporting the development and deployment of scalable data products on a modern enterprise analytics platform powered by Azure, Databricks, Immuta, and Unity Catalog. You will gain hands-on experience in data product architecture, pipeline development, and integration with legacy and modern data systems, working in a collaborative, innovative, and inclusive environment at Cognizant Technology Solutions Sweden AB.
Main requirements:
- 1–3 years of experience in data engineering or related field.
- Basic proficiency in Python, SQL, and Spark.
- Exposure to Azure and Databricks platforms.
- Familiarity with ETL tools such as Ab Initio or Informatica.
- Understanding of DevOps/MLOps concepts and tools such as Git and Azure DevOps.
- Experience working in Agile environments, preferably SAFe Agile.
- Strong analytical and problem-solving skills.
Responsibilities:
- Assist in designing and building data products with understanding of data product architecture.
- Develop and maintain data pipelines using Python, Spark, and Databricks.
- Support integration efforts with Ab Initio or Informatica ETL tools.
- Collaborate with senior engineers to implement CI/CD and MLOps workflows.
- Participate in release planning and deployment activities across environments.
- Work within a SAFe Agile framework contributing to sprint planning, reviews, and retrospectives.
- Document data processes, lineage, and metadata for governance and audit readiness.
Required hard skills:
- Python programming
- SQL querying
- Spark framework
- Databricks platform
- Azure cloud platform
- ETL tools (Ab Initio or Informatica)
- DevOps/MLOps tools (Git, Azure DevOps)
- Agile methodology (SAFe Agile)
Recommended hard skills:
- Certifications in Azure Fundamentals or Databricks
- Experience with data governance tools like Immuta or Unity Catalog
- Internship or project experience in BFS (Banking and Financial Services) or data analytics domain
Soft skills:
- Motivation and detail orientation
- Analytical and problem-solving skills
- Collaborative teamwork
- Communication skills
- Adaptability to agile workflows
Coding languages:
- Python
- SQL
- Spark
Frameworks:
- Spark
- SAFe Agile
Natural languages:
- English (Proficient)
Cultural skills:
- Entrepreneurial spirit
- Innovative thinking
- Collaborative and inclusive work approach
- Technology-driven mindset