Job Description

Senior Software Engineer

Engagement: Full‑Time Contractor

Location: London / Hybrid

Length: 12 month contract

Role Summary

We are seeking a software engineer specialising in distributed data systems to design and build low‑latency, high‑volume data processing solutions that underpin regulatory voice compliance assurance across the Bank's strategic data platforms.

This is a hands‑on software development role, focused on event‑driven architectures, streaming pipelines, and scalable data matching engines rather than traditional reporting or BI. You will engineer resilient, production‑grade systems capable of processing high‑frequency voice metadata and transactional records at scale, ensuring accuracy, determinism and auditability in compliance controls.

You will join a team responsible for delivering mission‑critical compliance technology across enterprise voice platforms, operating in a highly regulated environment where correctness, performance and reliability are non‑negotiable.

What You'll Be Building

Distributed streaming and batch data processing systems for voice compliance assurance

Low‑latency record matching and reconciliation engines handling billions of events

Scalable data services operating across Spark, Kafka, Hive and Hadoop

Production‑grade pipelines supporting regulatory evidence, audit and controls

Foundations for near‑real‑time compliance signal generation across global voice platforms

Key Responsibilities

Design and develop high‑performance distributed systems for large‑scale voice data processing

Build and optimise Spark‑based processing jobs for high‑volume and high‑frequency workloads

Engineer Kafka‑based streaming pipelines with strong delivery guarantees and low end‑to‑end latency

Develop robust data matching and reconciliation logic across heterogeneous voice data sources

Define and implement scalable data models using Hive and Hadoop ecosystems

Apply software engineering best practices: version control, code reviews, testing, CI/CD and documentation

Reverse‑engineer and modernise legacy batch or reporting‑oriented implementations

Implement data quality, integrity, lineage and auditability controls required for regulatory assurance

Partner with platform, vendor and voice engineering teams to align data semantics and system behaviour

Support synthetic data generation and large‑scale performance testing

Deliver changes through controlled environments in line with enterprise change and release processes

Required Technical Experience

Core Technologies

Strong hands‑on development experience with Apache Spark

Proven experience building Kafka‑based event streaming systems

Deep familiarity with Hadoop ecosystems, including Hive

Advanced SQL for complex, large‑scale datasetsEngineering Capabilities

Experience designing low‑latency, high‑throughput data pipelines

Strong understanding of distributed systems, data partitioning, fault tolerance and scalability

Ability to distinguish and design appropriately for high‑frequency transactional vs high‑volume batch workloads

Experience building ETL / ELT systems as production software, not ad‑hoc scripts

Comfortable working close to infrastructure and platform constraintsNice to Have

Exposure to voice or communications platforms (e.g. Cisco, NICE, IPC, Microsoft)

Experience working in regulated or compliance‑driven environments

Familiarity with Agile delivery models and iterative software development

TO APPLY - PLEASE APPLY WITH AN UP-TO-DATE CV

Candidates will ideally show evidence of the above in their CV in order to be considered.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

*Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention