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Junior Data Engineer
Kepak Group. Design, build, and maintain scalable data pipelines and ETL processes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines and ETL processes, with strong programming skills in Python and SQL. Proficient in utilizing Microsoft Fabric and Azure technologies to deliver effective data solutions and support business intelligence initiatives.
Highest-signal resume keywords
Data Pipeline DevelopmentETL Process ManagementPython ProgrammingSQL ProficiencyMicrosoft Fabric Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingStar Schema DesignMaster Data SolutionsSpark KnowledgeScala Knowledge
Soft Skills
Analytical AbilitiesProblem-Solving SkillsCommunication Skills
Tools & Technologies
Azure DevOpsGitHubMicrosoft AzureDatabricksPower BI
Industry Keywords
Business IntelligenceAnalytics SolutionsData EngineeringCross-Functional Collaboration
Tech Stack
Tools & technologiesAzureETLPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable data pipelines and ETL processes
- Develop robust data models, star schemas, and master data solutions
- Support delivery of business intelligence and analytics solutions within the Microsoft Fabric environment
- Collaborate with product owners, analysts, and stakeholders to understand business requirements and develop effective data solutions
- Participate in code reviews, testing, and documentation
- Work with modern DevOps practices using GitHub and Azure DevOps
- Explore and pilot emerging technologies and innovative approaches to data engineering
Requirements
What you’ll need- Degree in Computer Science, Data Science, Information Systems, or a related discipline (or equivalent practical experience)
- 1–3 years of experience in a data-focused or software engineering role
- Strong programming skills in Python and SQL
- Knowledge of Spark and/or Scala
- Experience working with ETL tools such as Microsoft Fabric
- Familiarity with Azure DevOps and GitHub
- Exposure to Microsoft Azure technologies including Fabric, Synapse, Databricks, and Power BI
- Strong analytical and problem-solving abilities
- Excellent communication skills and ability to work effectively within cross-functional teams
Benefits
Comp & perks- Company Pension
- Paid Maternity Leave
- Further Education support
- Clear pathways for advancement
- Continuous professional development and learning opportunities
- Subsidized Canteen
- Refer a Friend Scheme: Earn up to €500 for successfully referring a friend or family member to Kepak Group
- Bike to Work Scheme with salary sacrifice and tax savings
- Long Service Awards