Entasis Partners

About the Company

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is a Specialist & , empowering clients through growth, transformation, and change.

We help to establish, scale and mature architecture practices.

Since our founding in 2017, we’ve focused on creating something different; becoming a leader in through partnership and specialisation.

:
: Our consultants specialise in Architecture across Enterprise, Solution, and Technical levels, covering the full spectrum of BDAT (Business, Data, Application, Technology) and Security.

: We’ve built a leading architecture community, both online and offline, bringing together experts, thought leaders, and professionals to share knowledge and drive innovation in the field.

: We work in partnership with you to understand your business strategy, culture, and processes, ensuring the alignment of the best-suited solutions and professionals to help achieve your objectives.

& : Every business is unique, and we offer flexible, tailored solutions to meet your short, medium, and long-term goals.

At , we are passionate about delivering value and continuously challenge ourselves to exceed client expectations.

Listed Jobs

Company Name

Entasis Partners

Job Title

Lead Data Engineer

Job Description

Data Engineering Lead (Credit Risk, Cloud Migration)

Location: City of London (2-3 days onsite)
Start Date: ASAP
Inside IR35

Unfortunately we are not able to offer visa sponsorship for this role

Entasis Partners has been engaged by a specialist consultancy on a major programme to migrate critical IRB risk models from a legacy platform to the cloud (GCP, AWS).

We’re assembling a team of Data Engineering Leads to drive this transformation, managing both onshore and offshore engineering

Key Responsibilities:
Lead data engineering teams in building and migrating risk models to target cloud platforms.
Design and develop processes to integrate various data sources related to credit risk, ensuring data quality and consistency.
Build and maintain scalable data pipelines to support the ingestion, transformation, and loading of data into credit risk models.
Manage and optimise databases and data warehouses to store large volumes of credit risk data, ensuring efficient querying and retrieval.
Develop automated workflows to streamline data processing tasks and reduce manual intervention, increasing efficiency and accuracy.
Work closely with credit risk modellers to understand data requirements and provide the necessary datasets and tools for model development and validation.
Solve lineage issues and ensure compliance with BS239 standards.
Collaborate with strategy analysts who code, ensuring models are fit for purpose.
Manage a distributed team across India and Poland, balancing execution and iteration.

Required Skills & Experience:
Technical: Python, Java, SQL, Hadoop, Apache ecosystem, GCP, AWS (Scala a plus).
Banking & Risk: Strong knowledge of IRB models and credit risk frameworks
Leadership: Experience managing distributed engineering teams in an agile environment.
Mindset: Critical thinkers who challenge the norm—not just backlog processors.
Imperfect environments - Experience of working in a complex FS environment—think classic spaghetti architecture.
Prior experience with Palantir or similar platforms is a plus.

This is a dynamic, fast-moving engagement. If you're interested, apply now—interviews early next week.

London, United Kingdom

Hybrid

30-01-2025