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

Nominate & Attend

SAS Data Engineer

Talan
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

SC Data Engineer

Senior Data Engineer

Lead Data Scientist - Model Risk Management

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

Business Intelligence Engineer

Manager Data Science

Company Description
Talan UK is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan UK, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).
Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work. This achievement not only highlights Talan UK’s positive organisational culture but also strengthens its reputation as an employer of choice within the industry. We invest heavily in the training and development of our teams and hold regular socials in each region to encourage engagement and network building.
Job Description
We are looking for experienced and dynamic Consultants to join our existing team. As a SAS Data Engineering Consultant, you will engage with our clients daily, understanding their challenges and delivering solutions. You will be based from one of our regional offices or on client site.
Your skills and attributes for success:
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 presentation 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.
#TalanUK#LI-HB1
Qualifications
To qualify for this role, you must have:
Multi-skilled experience in Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science, and Business Intelligence.
Delivery experience using SAS (SAS EG, SAS DI, SAS Viya).
Ability to write complex SQL queries.
Project experience with Tableau, Python, Power BI, Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks).
Experience leading end-to-end projects and familiarity with development methodologies like Agile, Waterfall, Scrum, DevOps, Testing.
Experience leading technical and/or project teams.
Technical Business Analysis experience.
Awareness of industry standards, regulations, and developments.
Ideally, you’ll also have:
Experience with Relational Databases and Data Warehousing concepts.
Experience with Enterprise ETL tools such as Informatica, Talend, DataStage, or Alteryx.
Project experience with Hadoop, Spark, Scala, Oracle, Pega, Salesforce.
Cross-platform experience.
Financial services sector experience.
Line management, team building, and mentoring experience.
You must be:
Willing to work on client sites, potentially for extended periods.
Willing to travel and stay away from home for extended periods.
Eligible to work in the UK without restriction.
Additional Information
What we offer:
BDP Plus – a reward programme for accruing points to trade against a 3-month paid sabbatical or cash.
25 days holiday + bank holidays.
5 days holiday buy/sell option.
Private medical insurance.
Life cover.
Cycle to work scheme.
Company pension scheme (5% employer contribution, salary sacrifice).
Employee assistance programme.
Bespoke online learning via Udemy for Business.

#J-18808-Ljbffr

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

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.