Business Intelligence Developer

Essential Employment
Guildford
4 days ago
Create job alert

Job Description

Business Intelligence Developer (REMOTE) needed, £538.18 per day PAYE - Reference: 373925

Remote working, however will need to attend the office on the first day for equipment collection and access passes etc

Transforms, tests and documents raw data to create clean reliable data models in relation to Robotic Processes and automation.

Key platforms include Blue Prism, MuleSoft (for system integration), Microsoft Fabric as well as automation tools such as Power Automate. Line management responsibility to junior developers

  • Using Blue Prism to develop Robotic Processes to automated repetitive, rule-based tasks across the organisation to streamline processes and therefore improve our overall effectiveness and efficiency by releasing capacity whilst improving data quality and insights which can be gained by our data holdings.
  • To be responsible for the design of processes to prepare, enrich and document data for use by developers and analysts using semantic models, Lakehouse’s and data warehouses to enable provide insight
  • Be proficient in ingesting or accessing data through various pipelines or dataflows, utilising multiple automation technologies from AI ML/GEN, Power Automate and Power Apps to enable developers and analysts to provide visualisation and insights via Power Bi and other tools to stakeholder and business teams to drive data driven informed operational decision making .
  • Be accountable for transforming and testing data with dataflows, procedures, and notebooks to enable developers to design and build user facing visualisations combining multiple data sets to provide organisational insight to previously hidden or hard to reach data assets.
  • Be responsible for the design and implementation of the storage and querying of data in Lakehouses and data warehouses. Expose and join data for the wider organisation to access with reusable semantic models that become the single version of the truth. This will include data sources in both Surrey and Sussex when appropriate.
  • Communicate effectively with technical and non-technical stakeholders to clearly understand business requirements and risks/benefits associated with the insight which can be gained. This will be across both Surrey and Sussex as well as regional and national forces where appropriate.
  • Carefully testing and accuracy checking data lists and aggregations – create UAT parameters and checklists to inform and enable business sign off.
  • Collaborating with other team members to design and document solutions and to develop strong governance and control processes, this will include working across Surrey and Sussex corporate services and others.
  • Be responsible for ensuring the business benefits which were agreed are met through working with business assurance colleagues.
  • Analyse and document available data flows ensuring corporate standards are met and recorded in a consistent manner to ensure the reusability of flows and maximising the insights which can be gained from our data to enable stakeholders to be data informed in their operational decision making.

This is a full time role on a temporary contract basis.

If you are interested in the role please apply on our website with your CV, alternatively you can email your CV to quoting the reference number.

Essential Employment is acting as an Employment Business in relation to this vacancy. Essential Employment is an Equal Opportunities Employer.

All our roles may be subject to pre-employment checks including references so please be prepared.

Due to high volumes of CVs received we are not able to respond to all unsuccessful applications. You will always however hear from us by phone if we are able to take your CV forward to the next stage.

You can also follow us at Twitter/Facebook/LinkedIn or via our website

Related Jobs

View all jobs

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.