Providing on-demand contract and permanent hires for Snowflake projects across UK 🇬🇧 & NL 🇳🇱

With a focus on community and ecosystems Talenting has become one of the leading suppliers of staff for Snowflake projects across the UK and Netherlands. See more on Snowflakestaffing by talenting at snowflake.contractors and snowflake.careers

I’ve spent over 29 years in the recruitment industry, working from 1996 until 2019 for an international FTSE listed recruitment business. In 2019 launched Talenting Career Science, a boutique staffing business, focused on data and analytics recruitment, and the first globally to be founded on the principle of diversity and inclusion, particularly championing neurodiversity.

Self-confessed data geek, fascinated by statistics. Always drawn to any shiny new tech which has led to me becoming an early stage investor in numerous data and customer-centric software start-ups. Naturally driven towards data-for-good projects. 

In-depth experience working with eco-system partners providing on-demand resource for projects as well as scaling start-up businesses, and providing key hires into major organisations. My approach doesn’t end at the point of hire, I work closely with organisations and staff to ensure successful career transitions. 

Key areas of recruitment experience includes: 
- Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, as well as other areas of Data Analytics and Data Engineering.
- Sectors recently worked in include Fintech, Medtech, Retailtech, Voicetech, Insurtech, Edtech and Agritech -

Talenting Career Science is a full-service consultancy offering much more than just staffing. Additional services include:

- Recruitment audit, and process re-engineering to ensure inclusivity and suitability for neurodivergent individuals
- Talenting-as-a-Service - a subscription-based model for organisations looking to make multiple hires over a year. Also encompassing our Outsourced Talent Acquisition offering - useful for organisations who have no internal TA function to process a job applicant stream.
- Partnerships with leading Data Science and Feature Engineering organisations that could offer you a technical solution 
- Consultancy / training sessions aimed at educating and aligning teams for neurodiverse hiring, delivered by myself and through third-parties

I look forward to working with you.

ben@talentingcareers.co.uk
​🇬🇧 UK Direct: +44 (0)161 250 9060  / 0203 920 9300
​

#talentingcareers #careerscience #snowflakestaffing #snowflakecontractors #snowflakecareers #neurodiversity

I've got a need for 3-4 Data Engineers on a short-term Snowflake project, to bring an existing delivery back on-track in terms of timescales. 

Probably 2 or 3 people for a couple of months starting early Decemer. It could work with more people working 2-3 days per week.

It'll work as a full time gig. It also works if you only have 2 or 3 days spare per week.

If you are immediately available, or have the capacity for an extra 2-3 days per week then this could keep you busy across the festive period.

If we haven't spoken for a while, or you haven't recently updated me on your latest availability then please drop me a message and we can arrange a time to talk late in the coming week when I've got greater clarity.

I could have probably described this better, but it's Saturday morning and I lost the feeling in my fingers within the first 10 minutes of watching school rugby.

Ben Halfpenny

Staffing Snowflake projects across the UK ​🇬🇧 and NL 🇳🇱 | Director at Talenting Career Science | 29 years as a recruiter in Data & Analytics | championing neurodiversity in recruitment

I got a call from a hiring manager 4 weeks into a "disastrous" hire.

He's at a top-tier NL consultancy. Great brand. They'd posted two Snowflake Architect roles. 470+ applicants. A "fantastic problem," he thought.

He was wrong. He was drowning in CVs from people who'd never even seen Snowflake. His project was stalling. His best applicants? 

They'd found other roles 3 weeks ago.

We sat down. We didn't run a new ad.

I went to my network. The people I've been talking to for years. The specialists who don't apply to ads.

I sent him 3 CVs. He interviewed all 3. He hired 2.

The entire "problem" was solved in 9 days.

The best Snowflake talent isn't on job boards. They're in my network.

What's the biggest bottleneck you see in hiring: too many bad CVs, or not enough good ones?

𝗧𝗵𝗲 𝗦𝗧𝗔𝗥 𝗠𝗲𝘁𝗵𝗼𝗱 𝗶𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗳𝗼𝗿 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 

You've probably heard of the STAR method. 

For a Snowflake professional, the "R" (Result) is the most critical part. 

It's your proof. 

Use it on your CV: 

- 𝗦𝗶𝘁𝘂𝗮𝘁𝗶𝗼𝗻: "Finance team's reports were too slow..." 

- 𝗧𝗮𝘀𝗸: "Tasked with optimizing the underlying Snowflake data models..." 

- 𝗔𝗰𝘁𝗶𝗼𝗻: "Rebuilt tables with proper clustering keys and materialization..." 

- 𝗥𝗲𝘀𝘂𝗹𝘁: "Improved report query performance by 40% and reduced associated Snowflake compute costs by 15%." 

This transforms a bullet point into a powerful story of your data-driven impact. 

Contact me for more advice on your CV and access to the latest Snowflake jobs. 



#CVTips #DataStorytelling #Snowflake #DataEngineering

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