National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

ANALYTICS ARCHITECT

Coforge
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Business Intel Engineer (FTC), Prime and Marketing Analytics & Science (PRIMAS)

Business Intel Engineer, EU Customer Behavior and Marketing Analytics and Data Science

Enterprise Data Architect

Enterprise Data Architect

Data Governance Architect

Data Science Manager - Remote

Job Description

� Designing Data Architecture: ? Analyze data requirements and business needs to design high-level and detailed data architecture plans. ? Select appropriate data storage solutions like BigQuery, Cloud Storage, and Cloud SQL based on data needs (structured, unstructured, etc.). ? Design data pipelines for data ingestion, transformation, and loading using tools like Cloud Dataflow or Cloud Dataproc. ? Implement data security best practices and ensure data governance throughout the architecture. � Big Data and Analytics Expertise: ? Wok with big data tools and frameworks like Apache Hadoop, Spark, and Flink on GCP. ? Design and implement data lakes for storing and managing large datasets. ? Integrate data pipelines with machine learning and data analytics tools on GCP. � Cloud Infrastructure Management: ? Manage and optimize GCP infrastructure for data processing and storage, considering factors like cost and scalability. ? Configure and manage cloud security for data resources on GCP. ? Stay updated on the latest GCP data services and tools to leverage them in solutions. � Collaboration and Communication: ? Collaborate with various teams like data scientists, developers, and business stakeholders to understand data needs and translate them into technical solutions. ? Document data architecture plans and designs clearly for future reference and handover. ? May present technical data solutions to stakeholders. Skills and Qualifications (typical, may vary): � Strong understanding of data architecture principles and best practices � Experience with GCP data services like BigQuery, Cloud Dataflow, Cloud Dataproc, etc. � Familiarity with big data frameworks like Hadoop, Spark, Flink (plus) � Experience with cloud security principles � Excellent communication and collaboration skills � Experience working with SQL and data modelling

Posted On

� Designing Data Architecture: ? Analyze data requirements and business needs to design high-level and detailed data architecture plans. ? Select appropriate data storage solutions like BigQuery, Cloud Storage, and Cloud SQL based on data needs (structured, unstructured, etc.). ? Design data pipelines for data ingestion, transformation, and loading using tools like Cloud Dataflow or Cloud Dataproc. ? Implement data security best practices and ensure data governance throughout the architecture. � Big Data and Analytics Expertise: ? Wok with big data tools and frameworks like Apache Hadoop, Spark, and Flink on GCP. ? Design and implement data lakes for storing and managing large datasets. ? Integrate data pipelines with machine learning and data analytics tools on GCP. � Cloud Infrastructure Management: ? Manage and optimize GCP infrastructure for data processing and storage, considering factors like cost and scalability. ? Configure and manage cloud security for data resources on GCP. ? Stay updated on the latest GCP data services and tools to leverage them in solutions. � Collaboration and Communication: ? Collaborate with various teams like data scientists, developers, and business stakeholders to understand data needs and translate them into technical solutions. ? Document data architecture plans and designs clearly for future reference and handover. ? May present technical data solutions to stakeholders. Skills and Qualifications (typical, may vary): � Strong understanding of data architecture principles and best practices � Experience with GCP data services like BigQuery, Cloud Dataflow, Cloud Dataproc, etc. � Familiarity with big data frameworks like Hadoop, Spark, Flink (plus) � Experience with cloud security principles � Excellent communication and collaboration skills � Experience working with SQL and data modelling

Department

UK Europe

Posted On UK Europe Open Positions

1

Posted On 31-Dec- Skills Required

GCP DATA LAKE

Posted On GCP DATA LAKE Location

London

Posted On London Years Of Exp

10.0 to 15.0 Years

Posted On 10.0 to 15.0 Years Posted On 19-May-

National AI Awards 2025

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.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.