Future Tech Jobs Future Tech Jobs

Data Analytics Developer - March 2025

CV-Library
City of London, City and County of the City of London
13 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - Platform Engineering & Development

Matillion India
Hybrid

Senior Cloud Operations Analyst

Matillion India
On-site

Senior Manager, Product Security

Databricks United Kingdom

Account Executive, Commercial - EMEA

Fivetran London, United Kingdom
Hybrid

Account Executive, Commercial - German Speaking

Fivetran United Kingdom

Staff Software Engineer - Backend

Databricks London, United Kingdom
Posted
30 Apr 2025 (13 months ago)
Share
Save job
Create job alert

Data Analytics Developer

Location: London (Hybrid)
Type: Permanent | Full-Time

My client is seeking a talented and driven Data Analytics Developer to join our fast-paced and evolving data team. This is a reporting-first technical role, ideal for someone with a passion for building insightful dashboards, collaborating with senior stakeholders, and working at the forefront of cloud-based data platforms.

We're looking for someone who thrives in a dynamic, start-up-style environment - adaptable, switched-on, and ready to take ownership of their work while contributing to the development of our growing data ecosystem.

Key Responsibilities:

Design, develop, and maintain high-impact dashboards and reports using Power BI

Work closely with senior stakeholders across UK and US teams to gather requirements and deliver actionable insights

Collaborate with Data Engineers to support the ongoing enhancement of our cloud-native data platform

Perform data modelling to support accurate and scalable reporting

Assist in managing the Power BI environment, including DAX development and workspace administration

Contribute to ETL processes and data transformation workflows within the Azure Data Platform

Support the future transition to Google Cloud Platform (GCP) and tools like Looker, gaining exposure to modern data technologies

Essential Experience:

Strong expertise in Power BI dashboard/report development and DAX

Solid experience in SQL / T-SQL for data extraction and transformation

Hands-on experience with Azure technologies (Data Lake, Data Factory, Synapse, etc.)

Data modelling experience (star/snowflake schemas, normalization, etc.)

Familiarity with ETL processes and working alongside Data Engineers

Excellent communication and stakeholder management skills

Insurance industry experience (ideally Reinsurance)

Desirable Experience:

Exposure to Google Cloud Platform (GCP) and tools like Looker, Domo, or Tableau

Experience with Salesforce, specifically CRMA reporting

Broader data engineering or solution architecture exposure

Why join the team?

Opportunity to work closely with executive stakeholders and make a real business impact

Evolving technology landscape with full training in GCP and modern data tools

A collaborative team environment where no two days are the same

The chance to grow into a well-rounded data professional, not just a report builder

This role is ideal for someone who's confident in their Power BI capabilities, thrives in a less structured environment, and is eager to build meaningful data solutions that drive decision-making across the business.

Interested?
Apply now to be part of one of the most dynamic data environments in the insurance industry

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.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

🍪 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.