Future Tech Jobs Future Tech Jobs

Senior Data Platform Engineer

Proactive Appointments
Surrey, United Kingdom
2 days ago
£70,000 – £80,000 pa

Salary

£70,000 – £80,000 pa

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

Senior Data Platform Engineer - HYBRID

We are working with one of our largest customers who are looking for a talented and experienced Senior Data Platform Engineer

Overall Objectives of the Job

We are seeking a skilled and experienced Senior Data / Platform Engineer to join our Data & Analytics team. This hybrid role combines hands-on data engineering on Databricks and Azure Synapse with platform administration responsibilities across our cloud data estate. The role holder will design, build, and operate scalable data pipelines while also maintaining the underlying Azure platform — including infrastructure-as-code (Pulumi), CI/CD automation, monitoring, security, and Databricks workspace administration. The ideal candidate combines strong Python/PySpark engineering skills with deep Azure platform knowledge and a service-excellence mindset.

Duties and Responsibilities

  • Lead solution design activities, collaborating with peers and mentoring junior colleagues to define and execute the team backlog.
  • Develop, test, and document scalable ETL/ELT data pipelines and workflows using Databricks and Azure Synapse to ingest and transform data from a variety of sources.
  • Administer and maintain Azure data platform components including Synapse, Databricks, ADLS Gen2, Key Vault, networking (VNets, NSGs, Managed Private Endpoints) and access control (RBAC, ACLs).
  • Manage infrastructure-as-code across Dev, Staging, and Production environments using Pulumi (and equivalents such as Terraform / Bicep).
  • Design and operate CI/CD pipelines using GitHub Actions (with OIDC federation) and/or Azure DevOps, supporting trunk-based development practices.

Must Have

  • Databricks: hands-on experience building and optimizing pipelines, managing Delta Lake, and administering workspaces (cluster policies, Unity Catalog, Secret Scopes, Workflows).
  • Python / PySpark: strong programming skills for data processing, automation, and scripting.
  • Azure data stack: Synapse, Databricks, ADLS Gen2, Key Vault — including Linked Services, Managed Identity, and Spark Pool configuration.
  • Azure platform fundamentals: compute, storage, networking (VNets, NSGs, Private Endpoints), identity and RBAC.
  • CI/CD: GitHub Actions (with OIDC federation) and/or Azure DevOps for data and platform deployments.
  • Infrastructure-as-Code: Pulumi (or Terraform / Bicep) across multiple environments.

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Related Jobs

View all jobs

Senior Data Platform Engineer

Proactive Appointments Surrey, United Kingdom
£70,000 – £80,000 pa Hybrid

Senior Data Platform Engineer

ADLIB London, United Kingdom
£80,000 – £100,000 pa Hybrid

Senior Data Platform Engineer – Central London

Ada Meher Mayfair, London, W1K 3DN, United Kingdom
£75,000 – £85,000 pa Hybrid

Senior Data Platform Owner

Costa Coffee St. Albans, United Kingdom
Hybrid

Senior Database Administrator

167 Solutions Manchester, United Kingdom
£70,000 – £90,000 pa Remote

Data Platform Engineer (Senior / Manager)

Tenth Revolution Group Ireland, Alba / Scotland, ZE2 9GA, United Kingdom
£50,000 – £65,000 pa Hybrid Clearance Required

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.