Data Engineer - Mortgages

On-siteSalary not specified
United Kingdom

Tech Stack

PythonETLApache Spark

Job Description, Responsibilities & Requirements

About the Position

We are seeking a Senior Data Engineer with strong hands-on expertise in building scalable data platforms to support mortgage and lending systems. The role involves working on loan origination, servicing, and risk analytics data, enabling reporting, regulatory compliance, and business insights, using technologies including Apache Spark, Python, and BI tools such as Amazon QuickSight.

Responsibilities

  • Design, build, and maintain data pipelines supporting mortgage systems, including origination, underwriting, and servicing.
  • Process large-scale datasets using Apache Spark, with a preference for PySpark.
  • Develop clean, scalable, and efficient Python code.
  • Integrate data from multiple sources such as loan systems, credit bureaus, and third-party providers.
  • Build and optimize ETL/ELT workflows for batch and near real-time processing.
  • Develop datasets and dashboards using Amazon QuickSight or comparable tools for mortgage reporting and key performance indicators.
  • Support regulatory and compliance reporting related to loan performance and risk exposure.
  • Ensure data quality, lineage, and governance across mortgage data platforms.
  • Collaborate with business stakeholders in risk, underwriting, and operations to translate requirements into data solutions.
  • Optimize the performance and scalability of data pipelines and storage systems.

Requirements

  • At least 6 years of experience in Data Engineering space.
  • Strong experience building and maintaining data pipelines for banking data domains.
  • Hands-on expertise with Apache Spark / PySpark for large-scale data processing.
  • Strong Python development skills with emphasis on reusable, efficient code.
  • Solid ETL/ELT engineering experience (ingestion, transformation, integration).
  • Experience supporting data modelling for reporting/analytics use cases.
  • Exposure to BI/dashboarding tools such as Amazon Quicksight, Power BI, Tableau (or similar).
  • Practical experience with data quality, governance, and working in regulated environments.

Nice to Have

  • N/A

We Offer

  • N/A

About the Company

Luxoft is a global technology services company that specializes in digital transformation, software development, and consulting services. We are committed to delivering innovative solutions to our clients across various industries.

Application

To apply for this position, please visit our careers page.

Job Details

Company name:
Luxoft
Location:
United Kingdom
Employment Type:
Full-time
Work Mode:
On-site
Posted on TheJob:
6/13/2026
Last checked:
6/13/2026
Posted on the source:
9/1/2026
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