Data Technical Lead

I’m interested

Location

London, UK

Hours

35

Seniority level

Mid-Senior level

Workplace policy

Hybrid

Job description

We are looking for someone passionate about building the foundations required to shape a best in class Econometrics & Data Science capability. In this challenging and rewarding role, you'll become a trusted advisor to executive level stakeholders across our global business, giving yourself a great platform the develop your skills and career.

 

About us

 

Our people are at the heart of everything we do and we offer a fast-paced environment where we have fun, celebrate success and give you all the tools you’ll need to be your best self. It's not just our colleagues we look after - we've got a responsibility to our customers too and we work hard on our William Hill Protect + Play initiative, with responsible gambling at the heart of everything we do.

We have welcomed our teams back to the office and have a balanced approach to office and home working.  Our employees have the opportunity to work from home up to 80% of the time with 20% of office time built in to ensure we get some face-to-face collaborative team time - and the chance for a coffee and a catch up! 

Your role in the team

 

As an experienced Data Engineer /Tech Lead you'll be designing, building and maintaining DataMarts, tools and front end / back end process on-prem, and using our cloud-based platform to power the insight from our specialist in-house Econometrics team.  There will be an opportunity to work closely with the Econometricians. Data Scientists, and BI team in addition to building in automation as the capabilities mature.

 

If you have a keen eye for detail, are open to broadening your statistical knowledge, and enjoy working in a fast-paced environment where no one day is the same then this role is for you.

 

Your responsibilities will include:

 

  • Owning the relationship with Data Architecture/Engineering and the Econometrics/Data Science team relating to requirements and best practice approach to structuring data assets required to provide the most robust insight.  
  • Improving and automating existing processes, as well extensive data quality QA across numerous large and complex data sources and transformations.  
  • Documentation of all process and implementations to allow for auditing and posterity as well as experience in writing well designed, testable, efficient code which follows good coding standards.  
  • Diagnosing technical faults on big data platform services which are built on numerous platforms like AWS, Airflow & Snowflake to name a few.  
  • Line management and shaping the careers of junior team members.  

 

Skills and experience 

 

This role will suit you if you've lived and breathed machine learning and data engineering in a customer focused, digital environment, and have developed a strong skillset which will allow you to mentor and develop your colleagues. A numerate or data related degree/qualification is highly desirable.

We're looking for an advanced level of coding using an array of languages like SQL, Python, R, as well as Excel and Power BI. Strong knowledge of JIRA (or other project management tools) and GIT-workflows are essential. Exposure to AWS (or other cloud platforms) and data-pipeline patterns on cloud would make your application stand out.

 

You must be able to understand complex data structures and systems but also be able to communicate in a simple concise manner to a non-technical audience. You must also be confident driving improvements in KPI’s (code quality best practice, defects, performance, and resilience).

 

We thrive on the fast pace of work, so you'll need a high degree of drive, energy, ownership, self-confidence, commitment and experience of working in an environment where priorities change all the time. You will also enjoy working in a team and building strong relationships with other departments.

 

It would be great to see an understanding of Gaming, Gambling and typical nuances of data and structures that are part and parcel of the industry.   We'd also benefit from your experience in supporting statistical teams in data delivery as well as any exposure to Statistics and/or Econometrics and/or Data Science.

 

What we offer 

 

Our flexible benefits package includes a competitive pension, bonus and a range of lifestyle benefits plus a heavily discounted zone 1-6 Oyster card if you join us in London. In addition to the standard 25 days holiday, you'll get an extra day off for your birthday.



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