Technology Architect – ETL / Data Engineering

N Consulting Ltd

London

11 months ago

Applications closed

Related Jobs

View all jobs

MLOps Engineer

Artificial Intelligence Offerings Lead Architect

Senior Lead Analyst - Data Science_ AI/ML & Gen AI

On Machine Learning Engineering Manager

Data Engineering & Data Science Consultant

2026 Apprentice - Digital (Data Science) - Belfast

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.

Industry Insights

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

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.