Senior Data Engineer (Financial Services)
Summary
Senior Data Engineer Consultant builds and validates scalable data pipelines and architectures for enterprise clients, using Databricks, PySpark, and SQL to enable analytics and reporting.
Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.
As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges
.
About the Ro
leWe are looking for a Seni o r Data Engineer Consultan t to support enterprise data transformation initiatives. You will be responsible for developing and optimizing data pipelines, enabling scalable data solutions, and supporting analytics and reporting needs across the organizatio
n.
Key Responsibilit
- iesReview and assess data engineering deliverables, including data pipelines, data models, architecture designs, and technical documentati
- on.Provide independent technical validation and recommendations to ensure alignment with business and technology objectiv
- es.Ensure data solutions comply with governance, security, scalability, and performance standar
- ds.Collaborate with stakeholders and delivery partners to resolve technical issues and implementation challeng
- es.Identify risks, gaps, and opportunities for improvement across data platforms and process
- es.Support project governance, acceptance reviews, and technical sign-off activiti
es.
Requirem
- ents5–10 years of experience in Strong experience in Data Engineering, Data Architecture, or Data Platform deliv
- ery.Hands-on experience of Databricks, Python (PySpark), and
- SQL.Experience reviewing solution designs, data models, and enterprise-scale data pipeli
- nes.Understanding of data governance, data quality, and cloud architecture best practi
- ces.Ability to engage with both technical and business stakehold
- ers.Prior experience working with consulting firms, system integrators, or large transformation programmes is highly prefer