Talensa Partners

About the Company

Welcome to Talensa Partners

Your dedicated search partner for technology and transformation leadership talent that tackle the business problem, build on culture and enable the next phase of innovation and growth.

Our focus lies exclusively curating and promoting a network of diverse, innovative high impact leaders and technical talent across Technology, Transformation, Data & AI, Product, Platform and Cyber Security.

We offer a suite of easy to engage cost effective services to identify and onboard the right talent solution:

- Leadership & Executive Search, Selection, Appointment

- Technical expert & Team hiring

- Interim Management & Contractor Solutions
Contract Term & Project hires - Inside & Outside IR35 SOW Determinations


Our mission is to be the referred go to search partner for the AI revolution, making a difference through market intelligence, careers consultancy and consistently connecting the right exceptional talent that set our clients up for future success.

Get in touch to start your Talensa Partnership:

michaelwarren@talensapartners.com

Listed Jobs

Company Name

Talensa Partners

Job Title

Senior Data Engineer - Finance Tech

Job Description

**Job Title** Senior Data Engineer – Finance Tech **Role Summary** Design, develop and maintain end‑to‑end data pipelines on Azure Databricks, Kafka and Delta Lake for a financial services platform. Own the data platform’s reliability, performance and cost, while collaborating with platform engineering, data science and business stakeholders to provide trusted analytics datasets. **Expectations** * Own and evolve production‑grade Spark/Scala pipelines. * Maintain dimensional data models (bronze/silver/gold). * Ensure data quality through dbt tests and monitoring. * Act as the primary data engineering technical lead with minimal supervision. * Champion adoption of Databricks features and AI coding tools. **Key Responsibilities** - Own and maintain ingestion pipelines from multiple sources into Databricks. - Design, build and optimize Spark/Scala jobs for data ingestion and transformation. - Deploy and manage pipelines using GitHub Actions and Terraform. - Implement and run dbt tests to enforce data quality and consistency. - Extend and maintain Delta Lake tables for analytics using a layered architecture. - Collaborate with analysts, software engineers and business users via Sigma to deliver trusted datasets. - Monitor, troubleshoot and improve pipeline reliability, performance and cost. - Document pipelines, datasets and data contracts; act as the main point of contact for data engineering topics. - Investigate and resolve data quality incidents and pipeline failures. - Drive adoption of new Databricks features and experiment with AI coding agents. **Required Skills** - Production experience as a Data Engineer with Spark on Databricks. - Strong Scala skills (or PySpark with strong willingness to use Scala). - Advanced SQL skills for transformations, data modelling and debugging. - End‑to‑end ingestion pipeline development and maintenance. - Experience with dimensional modelling (star schema, facts/dimensions). - Familiarity with bronze/silver/gold layered data architecture. - CI/CD knowledge with GitHub Actions and Terraform on Azure. - Writing well‑tested, maintainable pipelines (unit, integration and dbt tests). - Ability to work independently, own the platform and drive tasks to completion. - Knowledge of financial terminology and stakeholder needs. **Required Education & Certifications** Bachelor’s degree in Computer Science, Data Engineering, Information Technology or equivalent professional experience. Certifications in Azure Data Engineer Associate, Databricks Certified Associate Developer or similar are a plus.

London, United kingdom

On site

Senior

15-03-2026