At a Glance
- Tasks: Join us as a SAS Data Engineer, solving client challenges with innovative data solutions.
- Company: Talan UK is a top Data Management consultancy, renowned for its positive culture and innovation.
- Benefits: Enjoy 25 days holiday, private medical insurance, and a unique sabbatical reward programme.
- Why this job: Be part of a Great Place to Work, where your ideas and skills truly matter.
- Qualifications: Experience in Data Engineering and proficiency in SAS and SQL are essential.
- Other info: Willingness to travel and work on client sites is required.
The predicted salary is between 36000 - 60000 £ per year.
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.
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, working to understand their challenges and 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.
- 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.
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 following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce.
- Cross and multi-platform experience.
- Team building and leadership skills.
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.
SAS Data Engineer employer: Talan Group
Contact Detail:
Talan Group 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 Engineering, 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 employees at Talan UK through platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when discussing your fit for the role.
✨Tip Number 3
Prepare to discuss your experience with project lifecycles and methodologies such as Agile and Scrum. Being able to articulate your role in past projects will showcase your leadership skills and ability to work effectively in teams.
✨Tip Number 4
Highlight any experience you have with cloud technologies like Azure or AWS, as well as data visualisation tools like Tableau or Power BI. These skills are highly relevant to the role and can set you apart from other candidates.
We think you need these skills to ace SAS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Management, Data Engineering, and specifically with SAS technologies. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of Talan UK's values and how your skills align with their needs. Mention your experience with relevant technologies and your ability to work both independently and as part of a team.
Showcase Your Projects: Include specific examples of projects you've worked on that relate to the role. Highlight your experience with SQL queries, project lifecycle management, and any technologies mentioned in the job description, such as Tableau or Python.
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.
How to prepare for a job interview at Talan Group
✨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 Problem-Solving Abilities
Talan UK values innovative solutions, so come ready to share examples of how you've tackled complex data challenges in the past. Think about times when you had to think creatively to deliver results.
✨Emphasise Teamwork and Leadership
As a SAS Data Engineer, you'll need to work well in teams and potentially lead them. Share experiences that showcase your ability to collaborate effectively and lead projects, especially in Agile or Scrum environments.
✨Prepare for Client Interaction Scenarios
Since the role involves engaging with clients, practice articulating how you would approach understanding their challenges. Prepare to discuss how you build relationships and influence stakeholders to ensure project success.