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

Nominate & Attend

Informatica Intelligent Cloud Services

N Consulting Global
Edinburgh
5 months ago
Applications closed

Related Jobs

View all jobs

Informatica Data Engineer

Data engineer (Salesforce & Informatica experience)

Data engineer (Salesforce & Informatica experience)

Data engineer (Salesforce & Informatica experience)

Data engineer (Salesforce & Informatica experience)

Data engineer (Salesforce & Informatica experience)

Role: Informatica Intelligent Cloud Services

Job Location: Edinburgh

Rate: 420 GBP/Day


Job Summary:

We are seeking a skilledInformatica Integillent Cloud Service Leadto lead the design, development, and implementation of data integration solutions leveraging Informatica ICS. The ideal candidate will have deep expertise in Informatica tools, cloud data integration, and experience in designing scalable, high-performance architectures for enterprise data management.

Key Responsibilities:

Architecture & Solution Design:

  • Design and implement scalable data integration and management architectures using Informatica IDMC.
  • Provide technical leadership in solution design, data pipelines, and ETL processes.
  • Evaluate business requirements and translate them into effective architectural designs.

Implementation & Integration:

  • Lead the migration of legacy ETL systems to Informatica IICS solutions.
  • Integrate various data sources, including on-premises and cloud platforms like AWS, Azure, and Google Cloud.
  • Configure, deploy, and optimize data pipelines and workflows in IICS.

Data Governance & Security:

  • Ensure data quality, governance, and security protocols are integrated into the solutions.
  • Establish standards and best practices for data integration and transformation.

Collaboration:

  • Work with cross-functional teams, including data analysts, data scientists, and business stakeholders, to deliver robust data solutions.
  • Provide mentorship to junior team members and collaborate with the operations team for seamless deployment.

Performance Optimization:

  • Monitor, troubleshoot, and optimize performance of data flows and integrations.
  • Utilize Informatica Monitoring Console and other tools to ensure system reliability.

Documentation:

  • Develop comprehensive documentation for architectural designs, workflows, and technical specifications.

Required Skills & Qualifications:

Technical Expertise:

  • 8+ years of experience in Informatica tools (PowerCenter, IDMC, Informatica Cloud).
  • Expertise in Informatica IDMC modules, includingCloud Data Integration (CDI),Data Quality (CDQ), andMaster Data Management (MDM).
  • Strong understanding of cloud platforms (AWS, Azure, GCP) and data warehousing concepts.
  • Proficient in SQL, Python, or other scripting languages for data manipulation and ETL.

Soft Skills:

  • Strong problem-solving skills with the ability to handle complex technical challenges.
  • Excellent communication skills and the ability to work effectively with cross-functional teams.
  • Proven track record in managing and delivering large-scale data integration projects.
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.

Careers

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Jobs

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Careers Jobs

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

🍪 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.