Tala

SAS Data Engineer

United Kingdom

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Data Management, Analytics, ConsultingIndustries

SAS Data Engineering Consultant

Employment Type: Full-time Location Type: On-site


Position Overview

Talan UK is seeking experienced and dynamic Consultants to join our existing team. As a SAS Data Engineering Consultant, you will engage with clients daily, understanding their challenges and delivering solutions. You will be based from one of our regional offices or on client site.


About Talan UK

Talan UK is a leading Data Management and Analytics consultancy, collaborating with top software vendors and industry experts across various sectors to unlock value and insight from data. Innovation is central to our client offerings, and we help companies improve efficiency with modern processes and technologies like Machine Learning (ML) and Artificial Intelligence (AI).

Our consultants are at the core of our operations, and we are proud to be recertified as a 2025 Great Place to Work®. This reflects our positive organizational culture and strengthens our reputation as an employer of choice. We invest heavily in team training and development and organize regular regional socials to foster engagement and networking.


Your Skills and Attributes for Success:

  • Excellent team player, with the ability to work independently.
  • Excellent client-facing skills.
  • Proactive and self-starting 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.

Qualifications

Essential:

  • Multi-skilled experience in one or more of the following disciplines: 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 using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks).
  • Project lifecycle experience, having played a leading role in the delivery of end-to-end projects.
  • Familiarity with different development methodologies and disciplines (e.g., Agile, Waterfall, Scrum, DevOps, Testing).
  • Experience of leading technical and/or project teams.
  • Technical Business Analysis experience.
  • Proactive awareness of industry standards, regulations, and developments.
  • Willing to work on client sites, potentially for extended periods.
  • Willing to travel for work purposes and be happy to stay away from home for extended periods.
  • Eligible to work in the UK without restriction.

Ideally, you’ll also have:

  • Experience of Relational Databases and Data Warehousing concepts.
  • Experience of Enterprise ETL tools such as Informatica, Talend, Datastage, or Alteryx.
  • Project experience using any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce.
  • Cross and multi-platform experience.
  • Financial services sector experience.
  • Line management experience.
  • Team building and leading experience.
  • Mentoring/staff development experience.

What We Offer:

  • BDP Plus: A reward program where you accrue points to trade against a 3-month paid sabbatical or cash equivalent.
  • 25 days holiday + bank holidays.
  • 5 days holiday buy/sell option.
  • Private medical insurance.
  • Life cover.
  • Cycle to work scheme.
  • Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).
  • Employee assistance programme.
  • Bespoke online learning via Udemy for Business.

Department: Consulting Industry: Information Technology And Services Function: Consulting Experience Level: Not Applicable Language: English

#TalanUK #LI-HB1

Skills

SAS
Data Management
Data Engineering
Data Warehousing
Data Modelling
Data Quality
Data Integration
Data Analytics
Data Visualisation
Data Science
Machine Learning
Artificial Intelligence
Client Facing
Communication
Negotiating
Influencing

Tala

Digital wallet and lending platform for underserved

About Tala

Tala operates as a digital wallet and lending platform that focuses on providing financial services to individuals who are often overlooked by traditional banks. The platform uses artificial intelligence and machine learning to create a personalized financial experience for its users. Customers can access instant credit, transfer money easily, and pay bills all through a single app. Tala's unique data tools allow it to serve a diverse range of customers, including those without access to conventional banking. The company generates revenue through interest and fees on the credit it offers, as well as transaction fees for money transfers and bill payments. Operating in multiple countries across three continents, Tala adapts its services to different markets while aiming to enhance the financial well-being of its users by providing tailored credit lines and financial advice.

Santa Monica, CaliforniaHeadquarters
2011Year Founded
$341.1MTotal Funding
DEBTCompany Stage
Fintech, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Remote Work Options
Flexible Work Hours
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance

Risks

Increased competition from Stripe in crypto payments could challenge Tala's market position.
Keytom's launch may attract Tala's crypto-interested customer base, reducing market share.
Apple's NFC chip decision could lead to more competition in the digital wallet space.

Differentiation

Tala uses AI to offer personalized financial experiences to underserved individuals.
The company provides instant credit and expansive bill payment options via a single app.
Tala's proprietary data tools enable services for those without traditional banking access.

Upsides

Integration of stablecoin payments could enhance Tala's transaction speed and cost-effectiveness.
Apple's NFC chip opening may allow Tala to offer more seamless payment options.
Equifax's AI advancements highlight potential for Tala to improve its credit scoring systems.

Land your dream remote job 3x faster with AI