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Zensar

Legacy Modernization Specialist

Burgess Hill
Posted 1 day ago
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Legacy Modernization Specialist

Key Responsibilities

  • Contribute to modernization initiatives by migrating legacy data systems to modern platforms such as PySpark and cloud-based architectures
  • Design, develop, and optimize data pipelines using PySpark, SQL, and BigQuery
  • Perform data migration activities including data validation, reconciliation, and gap analysis
  • Ensure high data quality through rigorous validation and issue resolution processes
  • Work closely with onshore and offshore teams to:
    • Drive project delivery
    • Ensure alignment
  • Participate in:
    • Client discussions
    • Validation reviews
    • Requirement clarifications
  • Support production activities including:
    • Troubleshooting
    • Monitoring
    • Resolving issues within SLA
  • Analyze and troubleshoot batch job failures and system issues in mainframe environments
  • Contribute to automation initiatives to:
    • Reduce manual efforts
    • Improve efficiency
  • Provide data analysis and reporting support for business stakeholders

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


Required Skills & Experience

Core Technical Skills

  • Strong experience in PySpark, SQL, and BigQuery
  • Experience working on data pipeline development and ETL processes
  • Hands-on experience with Mainframe technologies (COBOL, JCL, CICS)
  • Knowledge of Hive and large-scale data processing frameworks
  • Experience with data migration and system modernization projects

About Us

At Zensar, we’re “experience-led everything”. We are committed to:

  • Conceptualizing
  • Designing
  • Engineering
  • Marketing
  • Managing digital solutions and experiences for over 130 leading enterprises

We operate with a bold purpose:

Together, we shape experiences for better futures.

This belief drives everything we do.

Our core values reflect who we are and how we operate: “ONE with Client”, One Zensar, Nurturing, Empowering, and Client Focus.

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As part of the $4.8 billion RPG Group, we are a community of 10,000+ innovators across 30+ global locations, including:

  • Milpitas
  • Seattle
  • Princeton
  • Cape Town
  • London
  • Zurich
  • Singapore
  • Mexico City

Explore Life at Zensar: https://www.zensar.com/careers/

We foster growth and inclusivity through:

  • Celebrating individuality
  • Encouraging growth
  • Prioritizing well-being

We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to:

  • Race
  • Creed
  • Color
  • Ancestry
  • Religion
  • Sex
  • National origin
  • Citizenship
  • Age
  • Sexual orientation
  • Gender identity
  • Disability
  • Marital status
  • Family medical leave status
  • Protected veteran status
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Skills

PySpark
SQL
BigQuery
Mainframe
COBOL
JCL
CICS
Hive
ETL
Data Migration
Data Pipeline Development
Data Validation
Gap Analysis
Cloud Architecture
Troubleshooting
Data Analysis

Location

Burgess Hill, England, United Kingdom

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