Future Tech Jobs Future Tech Jobs

Solution Data Architect - Confluent flink

TXP
London, United Kingdom
4 days ago
£428 – £429 pd

Salary

£428 – £429 pd

Job Type
Contract
Seniority
Senior
Education
Degree
Posted
2 Jun 2026 (4 days ago)
Share
Save job
Create job alert

Solution Data Architect (Confluent Flink)

Location: London (2 days onsite)

Contract Length: 3 months

Rate: Up to £428.75 per day (Inside IR35)

Clearance: Not required

Overview

We're working with a leading organisation within the financial services / insurance sector who are seeking an experienced Solution Data Architect to support a large-scale data transformation programme.

This role will play a key part in shaping enterprise-wide data architecture, driving consistency across systems, and enabling scalable, governed data flows across core platforms.

Key Responsibilities

Define and design end-to-end data flows across multiple systems

Develop and maintain canonical and system-level data models

Design integration mappings aligned to enterprise data architecture standards

Collaborate with Solution Architects, Engineering teams, and Data Governance functions

Ensure data quality, governance, and consistency across business-critical domains

Support delivery teams with best practice data architecture guidance

Contribute to data ownership, standards, and lifecycle managementKey Skills & Experience

Proven experience as a Solution Data Architect

Strong knowledge of:

Data modelling

Integration patterns

Enterprise data architecture design

Confluent Flink experience (highly desirable)

Experience with event-driven architectures / data streaming

Exposure to tools such as Erwin, Power Apps, or Dataverse (desirable)

Strong stakeholder engagement skills across technical and non-technical teams

Background in insurance or financial services preferred

Related Jobs

View all jobs

Lead Solution Architect - Data Analytics

Inspire People London, United Kingdom
£80,320 – £90,360 pa Hybrid Clearance Required

Lead Solution Architect - Data Analytics

Inspire People Ls15Bw, LS1 5BW, United Kingdom
£81,360 pa Hybrid Clearance Required

Senior Data Architect

Tenth Revolution Group London, United Kingdom
£75,000 – £90,000 pa

Principal Data Architect

Experis London, City And County Of the City Of London, United Kingdom
£700 – £800 pd Remote

Salesforce Data 360 Architect (SC Cleared)

ARM London, City And County Of the City Of London, United Kingdom
£550 – £750 pd Hybrid Clearance Required

ETL Data Engineer/Data Architect - Azure Stack

Randstad Technologies Recruitment Nottingham, Nottinghamshire, United Kingdom
£400 – £550 pd

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Engineering roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.