Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Technology Architect – ETL / Data Engineering

N Consulting Ltd
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Solution Architect – AI & Machine Learning

Principle Enterprise Architect - Artificial Intelligence (1 Braham Street, London, United Kingdom)

▷ (Only 24h Left) Principle Enterprise Architect - Artificial Intelligence (1 Braham Street, London, United Kingdom)...

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Senior Data Science Manager - Financial Planning and Analysis

Possibility of remote work: No, 5 days WFO
Contract duration: 8-12 months
Location: London

---------------------------------------
JOB DETAILS

Role Title: Technology Architecture

Required Core Skills:
Informatica, Oracle, PL SQL, Unix Autosys

Minimum years of experience: 10+ Years

Detailed Job Description:

Expertise Data Engineer with excellent ETL development skills using Informatica PowerCenter 10.x.
• Good in understanding business requirements of ETL and design data pipelines to clean and organize raw data and prepare it for storage, data analytics, and machine learning.
• Should have min 8+ years of experience in Informatica PowerCenter.
• Good technical knowledge on Unix, Oracle SQL & PL/SQL., Autosys.
• Should have knowledge of power exchange.
• Knowledge of Informatica BDM, IDQ, basic cloud component is an advantage.
• Expertise in Query optimization and Performance tuning techniques.
• Good in understanding the client requirements and able to convert into technical requirements.
• Expertise in Data Analysis, troubleshooting of issues and providing solution to complex queries/issues.
• Guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
• Participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
• Lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
• Technical Skills: – Informatica PowerCenter 10.x, Unix, Oracle SQL & PL/SQL, Autosys

Additional Responsibilities:

• Knowledge of more than one ETL tool
• Should have good experience with financial domain.
• Good understanding of SDLC and agile methodologies
• Awareness of latest technologies and trends
• Excellent problem solving, analytical and debugging skills.
• Good knowledge on software configuration management systems

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.