At a Glance
- Tasks: Engage with clients to understand challenges and deliver innovative data solutions.
- Company: Dynamic consultancy firm focused on data engineering and analytics.
- Benefits: 25 days holiday, private medical insurance, and a unique reward programme.
- Other info: Opportunities for travel and professional development in a supportive environment.
- Why this job: Join a team where your creativity and skills can make a real impact.
- Qualifications: Experience in data management and proficiency in SAS and SQL required.
The predicted salary is between 50000 - 70000 £ per year.
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 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.
- 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 any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce.
- Cross and multi-platform experience.
- Team building and leading.
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.
SAS Data Engineering Consultant employer: Talan Group
Join a forward-thinking company that values innovation and collaboration, where as a SAS Data Engineering Consultant, you will have the opportunity to engage directly with clients and tackle their unique challenges. Our supportive work culture fosters professional growth through continuous learning opportunities, including access to bespoke online courses and a generous sabbatical programme. With competitive benefits such as private medical insurance and a robust pension scheme, we are committed to ensuring our employees thrive both personally and professionally.
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We think this is how you could land SAS Data Engineering Consultant
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We think you need these skills to ace SAS Data Engineering Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
