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

Nominate & Attend

Data Engineer - Informatica

Change Digital – Digital & Tech Recruitment
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Are you an experienced Data Engineer ?


Do you have extensive Informatica skills ?


Have you worked with Snowflake and AWS ?


Would you like to work for a fast growing business that specialises in Business Intelligence & Data Analytics ?


Its a hybrid working role and you will be based from either their London, Leeds, Manchester or Edinburgh office, typically 3 days a week from home and 2 day in office / on client site.


To be considered for the role you must have experience working in the financial services sector, be it direct or through consultancy.


***Visa sponsorship is not provided**


Your skills and attributes:

  • An excellent team player and able to work independently.
  • Excellent client facing skills.
  • A self-starter who is proactive in nature.
  • Excellent verbal, written communication, and presentational skills.
  • Ability to build internal and external relationships.
  • Effective negotiating and influencing skills.
  • Ability to think creatively and propose innovative solutions.
  • Strong self-developer.
  • Leadership skills.


Skills:

Informatica:Extensive hands-on experience with Informatica, including building and managing ETL pipelines.

Cloud Integration:Experience with cloud integration using AWS

ETL Processes:Proven ability in developing optimal and reliable ETL processes ingested from a wide variety of data sources, both structured and unstructured. Snowflake experience is required.

Data Transformation:Strong skills in data transformation, data cleansing, and data mapping using Informatica Cloud tools.

SQL:Advanced working knowledge in SQL and relational databases (e.g., Microsoft SQL Server, Oracle).

Data Warehousing:Experience in data warehousing, including data modeling and implementing data pipelines.

Data Management:Multi-skilled experience in Data Management, Data Integration, Data Quality, and Data Analytics.

Agile Methodologies:Experience working within Agile, Scrum, or DevOps environments.

Technical Business Analysis:Ability to translate business requirements into technical solutions.


For more information get in touch asap.

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.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.