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

Nominate & Attend

SAS Data Engineer

Talan
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Mainframe

Data Engineer - Mainframe

Internal Audit - Birmingham - Analyst / Associate - Data Engineer

Data Scientist II, Data Scientist II - AOP Team

Lead Data Scientist - Model Risk Management

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

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.

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.

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

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.