SAS Data Engineer

SAS Data Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team as a SAS Data Engineering Consultant, solving client challenges daily.
  • Company: Talan UK is a top Data Management consultancy, known for innovation and a great workplace culture.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and a unique reward programme for sabbaticals.
  • Why this job: Be part of a supportive team, engage in exciting projects, and develop your skills in a dynamic environment.
  • Qualifications: Experience in Data Management and SAS technologies is essential; creativity and strong communication skills are a must.
  • Other info: Willingness to travel and work on client sites is required.

The predicted salary is between 36000 - 60000 £ per year.

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 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

Qualifications

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.

Additional Information

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.

#J-18808-Ljbffr

SAS Data Engineer employer: Techwolf

Talan UK is an exceptional employer, recognised as a 2025 Great Place to Work, where innovation and employee development are prioritised. With a strong focus on training, regular social events, and a supportive work culture, Talan UK offers its SAS Data Engineers the opportunity to engage with clients while working with cutting-edge technologies in a collaborative environment. Employees benefit from a comprehensive rewards programme, generous holiday allowances, and a commitment to their professional growth.
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Contact Detail:

Techwolf Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land SAS Data Engineer

✨Tip Number 1

Familiarise yourself with the latest trends in data management and analytics, especially focusing on SAS technologies like SAS EG, SAS DI, and SAS Viya. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.

✨Tip Number 2

Network with current or former employees of Talan UK through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.

✨Tip Number 3

Prepare to discuss specific projects where you've successfully implemented data solutions using technologies mentioned in the job description, such as SQL, Tableau, or Python. Being able to articulate your hands-on experience will set you apart from other candidates.

✨Tip Number 4

Showcase your leadership and mentoring skills by preparing examples of how you've led teams or developed junior staff in previous roles. Talan UK values these attributes, and demonstrating them can significantly enhance your candidacy.

We think you need these skills to ace SAS Data Engineer

SAS (SAS EG, SAS DI, SAS Viya)
SQL Query Writing
Data Management
Data Engineering
Data Warehousing
Data Modelling
Data Quality
Data Integration
Data Analytics
Data Visualisation
Business Intelligence
Tableau
Python
Power BI
Cloud Technologies (Azure, AWS, GCP, Snowflake, Databricks)
Project Lifecycle Management
Agile Methodologies
Waterfall Methodologies
Scrum
DevOps
Technical Business Analysis
Relational Databases
Enterprise ETL Tools (Informatica, Talend, Datastage, Alteryx)
Hadoop
Spark
Scala
Oracle
Pega
Salesforce
Team Leadership
Mentoring and Staff Development
Client Engagement
Effective Communication Skills
Negotiation and Influencing Skills
Creative Problem-Solving

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in Data Management, Data Engineering, and the specific technologies mentioned in the job description, such as SAS and SQL. Use keywords from the job listing to ensure your application stands out.

Craft a Compelling Cover Letter: Write a cover letter that showcases your client-facing skills and ability to work independently. Mention specific projects where you have successfully delivered solutions, and how your proactive nature has benefited previous employers.

Showcase Relevant Experience: In your application, emphasise your project lifecycle experience and familiarity with different methodologies like Agile and DevOps. Provide examples of how you've led teams or mentored others in your previous roles.

Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a role in data engineering.

How to prepare for a job interview at Techwolf

✨Showcase Your Technical Skills

Make sure to highlight your experience with SAS technologies, especially SAS EG, SAS DI, and SAS Viya. Be prepared to discuss specific projects where you used these tools and how they contributed to successful outcomes.

✨Demonstrate Client Engagement Experience

Since the role involves daily client interaction, share examples of how you've effectively communicated with clients in the past. Discuss any challenges you faced and how you overcame them to deliver solutions.

✨Emphasise Teamwork and Leadership

Talan UK values collaboration and leadership. Prepare to talk about your experiences working in teams, leading projects, and mentoring others. Highlight any specific instances where your leadership made a difference.

✨Be Ready for Problem-Solving Questions

Expect questions that assess your ability to think creatively and propose innovative solutions. Prepare examples of complex problems you've solved in previous roles, particularly those related to data management and analytics.

SAS Data Engineer
Techwolf
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  • SAS Data Engineer

    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-08-20

  • T

    Techwolf

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