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Salary
$72k – $141k per year (Estimated)
Location
Remote/Hybrid (United Kingdom)
Employment
Full-Time
Overview
Company
Impact
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Talan is an international technology and management consulting group headquartered in Paris, France. The firm specializes in guiding large enterprises and public institutions through digital transformation, leveraging cloud technology, artificial intelligence, data intelligence, blockchain, and IoT.

Talan Data x AI 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 2026 Great Place to Work®. This achievement not only highlights Talan Data x AI'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.

We are looking for looking for experienced and dynamic Consultants to join our existing team. As a SAS Data Engineering Consultant, you will engage with our clients daily, working to understand their challenges and to deliver 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 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.

#TalanUK #LI-HB1

To qualify for this role, you must have:

  • 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 the following core technology: SAS (SAS EG, SAS DI, SAS Viya).
  • An 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, as well as a 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.
  • A proactive awareness of industry standards, regulations, and developments.

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 the 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.
  • Mentoring/staff development experience.

You must be:

  • 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.

What we offer:

  • BDP Plus - A reward programme whereby 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.
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