Back
Strong global brand, popular data-engineer role, metro location and broad skillset increase candidate competition.
Core data engineering skills (Python, PySpark, Azure) are highly transferable across industries.
Requires academic completion date, full-time 6-month commitment, and specific cloud and tooling exposure.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Support development and maintenance of data pipelines for batch and streaming data to power analytics and business intelligence.
Write, test, and integrate code for data ingestion and transformation under senior guidance.
Participate in data quality checks, documentation, and learn cloud-based data engineering and DevOps best practices in a hybrid, globally distributed team environment.
Currently completing Bachelor's degree in Computer Science, Engineering, Mathematics, or related field by July/August 2027.
Available for full-time 6-month apprenticeship from Jan 2027 to 31st July 2027.
Familiarity with Python, SQL, and basic data processing frameworks like PySpark; exposure to Azure cloud platform and Databricks.
Hybrid work model requiring minimum 4 days per week onsite and willingness to work in shifts as needed.
Early career candidate seeking hands-on experience in data engineering within financial services and capital markets domain.
Comfortable working collaboratively in a fast-paced, globally distributed team with mentoring and learning focus.
Interest or exposure to data warehousing, MDM/CRM systems, AI technologies, and cloud-based data tools aligned with an engineering apprenticeship.