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- Tasks: Join our team as a Consultant, solving client challenges with data solutions daily.
- Company: Talan UK is a top Data Management consultancy, renowned 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 in a company recognised as a Great Place to Work.
- Qualifications: Experience in Data Management, strong programming skills in Python and SQL, and project delivery expertise required.
- Other info: Willingness to travel and work on client sites is essential.
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.
- Proven experience and strong programming skills in languages such as Python and SQL and the ability to write complex SQL queries.
- Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake) and their integration with Databricks is advantageous
- Hands-on experience with data ingestion, transformation, and quality control processes.
- Excellent problem-solving skills and the ability to think critically under pressure.
- Strong communication and interpersonal skills, with the ability to work effectively with clients and stakeholders.
- Experience of leading technical and/or project teams.
- A proactive awareness of industry standards, regulations, and developments.
- 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).
Ideally, you’ll also have:
- Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya).
- 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
Consultant employer: Techwolf
Contact Detail:
Techwolf Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in data management and analytics, especially around technologies like Machine Learning and Artificial Intelligence. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with current or former employees of Talan UK on platforms like LinkedIn. Engaging with them can provide you with insider insights about the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully used programming languages like Python and SQL. Be ready to explain your problem-solving approach and how you’ve delivered innovative solutions in past roles.
✨Tip Number 4
Showcase your leadership and mentoring experiences, even if they were informal. Talan UK values team players who can lead and develop others, so highlighting these skills can set you apart from other candidates.
We think you need these skills to ace Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Management, Data Engineering, and the specific technologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
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 client-facing roles and your ability to deliver innovative solutions.
Showcase Technical Skills: In your application, emphasise your programming skills in Python and SQL, as well as any project experience with tools like Tableau, Power BI, or cloud technologies. Provide specific examples of how you've used these skills in past projects.
Highlight Soft Skills: Talan UK values excellent communication and interpersonal skills. Make sure to include examples of how you've effectively built relationships with clients and stakeholders, and how you've led teams or mentored others.
How to prepare for a job interview at Techwolf
✨Showcase Your Technical Skills
Make sure to highlight your experience with programming languages like Python and SQL. Be prepared to discuss specific projects where you've used these skills, especially in relation to data management and analytics.
✨Demonstrate Client-Facing Experience
Since the role involves engaging with clients, share examples of how you've successfully managed client relationships in the past. Emphasise your communication skills and ability to understand and solve client challenges.
✨Be Ready for Problem-Solving Scenarios
Expect to face questions that assess your problem-solving abilities. Prepare to discuss situations where you had to think critically under pressure and how you approached finding innovative solutions.
✨Highlight Leadership and Teamwork
Discuss your experience in leading teams or projects, as well as your ability to work collaboratively. Talan UK values team players, so be sure to illustrate how you've contributed to team success in previous roles.
