Data Engineer - Mortgages

Apply
Apply

Share

successfully icon

Successfully

The vacancy has been successfully added to favorites

location icon

London, United Kingdom of Great Britain and Northern Ireland

specialization icon

BI Engineering

lob icon

BCM Industry

date icon

23/04/2026

Req. VR-122510

Apply
Project description

We are looking for a 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
bullet icon

Design, build, and maintain data pipelines supporting mortgage systems, including origination, underwriting, and servicing.

bullet icon

Process large-scale datasets using Apache Spark, with a preference for PySpark.

bullet icon

Develop clean, scalable, and efficient Python code.

bullet icon

Integrate data from multiple sources such as loan systems, credit bureaus, and third-party providers.

bullet icon

Build and optimize ETL/ELT workflows for batch and near real-time processing.

bullet icon

Develop datasets and dashboards using Amazon QuickSight or comparable tools for mortgage reporting and key performance indicators.

bullet icon

Support regulatory and compliance reporting related to loan performance and risk exposure.

bullet icon

Ensure data quality, lineage, and governance across mortgage data platforms.

bullet icon

Collaborate with business stakeholders in risk, underwriting, and operations to translate requirements into data solutions.

bullet icon

Optimize the performance and scalability of data pipelines and storage systems.

Skills

Must have

bullet icon

At least 6 years of experience in Data Engineering space.

bullet icon

Strong experience building and maintaining data pipelines for banking data domains.

bullet icon

Hands-on expertise with Apache Spark / PySpark for large-scale data processing.

bullet icon

Strong Python development skills with emphasis on reusable, efficient code.

bullet icon

Solid ETL/ELT engineering experience (ingestion, transformation, integration).

bullet icon

Experience supporting data modelling for reporting/analytics use cases.

bullet icon

Exposure to BI/dashboarding tools such as Amazon Quicksight, Power BI, Tableau (or similar).

bullet icon

Practical experience with data quality, governance, and working in regulated environments.

Nice to have

bullet icon

N/A

Other
seniority icon

Languages

English: C1 Advanced

seniority icon

Seniority

Senior

London, United Kingdom of Great Britain and Northern Ireland

Req. VR-122510

BI Engineering

BCM Industry

23/04/2026

Req. VR-122510

Apply for Data Engineer - Mortgages in London

*Indicates a required field

Under the terms of your specific consent or to perform our obligations under a contract with you, as applicable, we, Luxoft Holding Inc. will manually and electronically process your personal data, specifically your first name, last name, phone number, e-mail address and other data you provide us through this form.


Within this context, we process personal data only for the specific purpose(s) indicated in the individual consent language or other notices provided below.


We will – insofar as reasonably necessary for the purpose you have agreed to and within the scope of applicable laws – transfer your personal data to other entities within the Luxoft Group and to the group of third party recipients listed in our Privacy Notice. Such Recipients can be located outside the European Union (EU) and/or the European Economic Area (EEA) (“Third Countries”). The Third Countries concerned, e.g. the USA, may not have the level of data protection that you enjoy e.g. under the GDPR. This can result in disadvantages such as an impeded enforcement of data subjects’ rights, a lack of control over further processing and access by state authorities. You may only have limited legal remedies against this. Insofar our transfer of your personal data to recipients in Third Countries is not covered by an adequacy decision of the EU Commission, we achieve an adequate level of data protection as further detailed out in our Privacy Notice.


With your consent, we personalise marketing communications to you by way of carrying out marketing research analysis, analysing the surfing-behaviour of our website visitors and to adjust it to their detected tendencies, as well as to plan more efficient future marketing activities. This personalised marketing does not include any automated decision-making activities.


Further information on how we process personal data in general is available in our Privacy Notice. You may withdraw any given consent at any time. The withdrawal of your consent(s) will not affect the lawfulness of processing before its withdrawal. For any request in this context, please e-mail us at: DPO@luxoft.com.


Before uploading CV or any other information to this website, to learn more about your obligations and restrictions arising from the use of this website, please read our Terms of Use.