Legacy Modernisation Specialist

Legacy Modernisation Specialist

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Zensar Technologies

At a Glance

  • Tasks: Transform legacy systems into modern, cloud-based data solutions with innovative technologies.
  • Company: Join a forward-thinking company focused on data modernisation and collaboration.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with a chance to work on exciting projects and develop your skills.
  • Why this job: Make a real difference by leading data transformation projects and enhancing organisational efficiency.
  • Qualifications: Degree-level education and extensive experience in mainframe and modern data technologies.

The predicted salary is between 70000 - 90000 £ per year.

Qualification: Must be educated to at least degree level or equivalent. We are looking for a hands-on Legacy modernisation specialist with strong experience in both legacy mainframe systems and modern data platforms. This role is ideal for someone who enjoys working on data modernisation initiatives; helping organisations move from traditional systems to scalable, cloud-based data solutions. You will work closely with cross-functional teams to design, build, and validate data pipelines, support migration efforts, and ensure data integrity across systems. The role also involves active stakeholder interaction and ownership of end-to-end deliverables.

Duties and Responsibilities:

  • Contribute to modernisation initiatives by migrating legacy data systems to modern platforms such as PySpark and cloud-based architecture.
  • Design, develop, and optimise 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 and ensure alignment.
  • Participate in client discussions, validation reviews, and requirement clarifications.
  • Support production activities including troubleshooting, monitoring, and resolving issues within SLA.
  • Analyse and troubleshoot batch job failures and system issues in mainframe environments.
  • Contribute to automation initiatives to reduce manual efforts and improve efficiency.
  • Provide data analysis and reporting support for business stakeholders.

Technical Skills Required:

  • 7+ years’ experience in Mainframe and Modern data technologies.
  • 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 modernisation projects.
  • Strategic thinker with the ability to develop and execute innovative solutions.
  • Strong understanding of technological trends and market developments.
  • Excellent communication and interpersonal skills, with the ability to build rapport and trust with clients.
  • Ability to work collaboratively with cross-functional teams.

Legacy Modernisation Specialist employer: Zensar Technologies

As a Legacy Modernisation Specialist, you will thrive in a dynamic work environment that champions innovation and collaboration. Our company prioritises employee growth through continuous learning opportunities and offers a supportive culture where your contributions are valued. Located in a vibrant area, we provide unique advantages such as flexible working arrangements and access to cutting-edge technology, making us an excellent employer for those seeking meaningful and rewarding careers in data modernisation.

Zensar Technologies

Contact Details:

Zensar Technologies Recruitment Team

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We think you need these skills to ace Legacy Modernisation Specialist

Legacy Mainframe Systems
Modern Data Platforms
Data Modernisation Initiatives
Data Pipelines
PySpark
SQL
BigQuery

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