needed. Requirements: Strong proficiency in Python for data engineering tasks. Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks. Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such More ❯
familiar with the auditing process to verify the efficacy of the data being captured. Naturally you’ll be comfortable working with SQL and ideally BigQuery (though a similar data warehousing technology is fine) with PowerBI experience being a big bonus, though by no means essential. Bonus points if you More ❯
East Hagbourne, Oxfordshire, United Kingdom Hybrid / WFH Options
CV Screen
At least 5 years of experience in data analysis with a strong focus on data extraction, analysis, and manipulation. Expertise in GTM/GA4, BigQuery, SQL, and Excel (VBA & Macros). Familiarity with tools like Power BI and Python is a significant advantage. Salary & Benefits Salary: £60,000 per More ❯
Wallingford, England, United Kingdom Hybrid / WFH Options
Digital Waffle
the office - They will only consider applications from those who live within a 45-minute commute from the office. Google Tag Manager || GTM || SQL || BigQuery || Insights A fantastic opportunity has come up to join a truly innovative organisation with exciting plans to grow all their Data Teams, and customers … sure whenever the return to the website, they are directed to what best suits their browsing history on the site. Key skills: Core skillsets: BigQuery, SQL, Understanding of data layers, google tag manager (GTM), Server side tracking principles + PowerBI a bonus but not essential. Heavy preference for candidates More ❯
