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Junior Data Migration - job post

ELCA Informatique SA
3.8 von 5 Sternen
Pully, VD
100%, Pensum: 90-100%
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Stellenbeschreibung

Anstellungsart

  • Pensum: 90-100%
  • 100%

Arbeitsort

Pully, VD

Vollständige Stellenbeschreibung

As part of the expansion of our Data Migration team, we are looking for a Junior Data Engineer to contribute to strategic data migration projects.
You will join a specialized team working on migrations from legacy systems to modern solutions.
You will be coached by experienced engineers and progressively gain autonomy while working on real, high–business-value data.
This role is ideal for someone who enjoys understanding how systems work, solving data puzzles, and learning structured engineering practices in a collaborative environment.

Key Responsibilities
As a Junior Data Engineer – Data Migration, you will:
  • Participate in the development of data migration processes under the guidance of senior engineers
  • Analyze legacy data structures and help define transformation rules
  • Write SQL scripts for data extraction, transformation, and validation
  • Contribute to data cleansing and correction activities
  • Execute migration dry runs and investigate anomalies
  • Implement data quality checks and validation controls
  • Collaborate with Business Analysts, DBAs, and product teams to understand data behavior
  • Document migration rules and technical decisions
  • Gradually contribute to improving performance and reliability of migration processes
Technical Skills
Must-have
  • Good knowledge of SQL (joins, aggregations, subqueries)
  • Understanding of relational databases and data modeling concepts
  • Ability to read and understand existing queries and adapt them
  • Interest in understanding complex data and legacy systems
  • Basic programming mindset (structured thinking, debugging logic)
Nice-to-have
  • Academic or internship experience with SQL Server, Oracle, PostgreSQL, DB2, etc.
  • Exposure to ETL tools or data pipelines
  • Basic scripting (Python, PowerShell, or similar)
  • Knowledge of Git or version control
  • First exposure to data quality concepts
Functional Skills and Soft Skills
  • Strong curiosity and willingness to learn
  • Analytical mindset and problem-solving attitude
  • Attention to detail and quality awareness
  • Ability to ask questions and challenge unclear data
  • Team player with clear communication
  • Persistence when facing complex or messy datasets
Profile
  • Bachelor or Master’s degree in Computer Science, Data Engineering, or equivalent
  • Internship, academic project, or first professional experience in data or software development
  • Motivation to learn data engineering and work on long-term technical projects
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