Senior Analytics Engineer

🔥 12 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Immersive Labs

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

🔒 Cybersecurity

📚 Education

☁️ SaaS

💰 $66M Series C on 2022-10

Cybersecurity • Education • SaaS

Immersive Labs is a leading provider of cybersecurity training platforms that empower teams across organizations to effectively detect, respond to, and neutralize cyber threats. The company offers a dynamic array of tools including gamified learning environments, comprehensive hands-on labs, application security training, and crisis simulation exercises. Their innovative platform prepares individuals and teams through realistic simulations and scenario-based exercises, enhancing decision-making and improving overall cyber resilience. Trusted by top companies, Immersive Labs continuously proves capabilities aligned to security frameworks, working to reduce vulnerabilities and cybersecurity costs while promoting secure practices across software and cloud environments.

📋 Description

• Develop, maintain and refactor analytical data models within the data warehouse • Collaborate with Data Engineers, Data Analysts and Software Engineers • Work as part of a product team to deliver valuable customer insights • Lead initiatives involving data quality, observability and model optimization • Design, build and maintain high-quality datasets for customer-facing reporting • Collaborate with engineers to assess and mitigate the impact of upstream product changes • Apply domain knowledge to develop semantic layers for business intelligence • Mentor junior engineers and teach the SDLC process and engineering best practices • Work cross-functionally in a multidisciplinary agile team • Participate in Hack Weeks and collaborate on innovative solutions

🎯 Requirements

• Proficiency in transforming, testing and documenting data while maintaining robust data lineage • Knowledge of data modelling, data access and data storage techniques • Experience with software engineering best practices, including version control and continuous integration • Strong proficiency using SQL in cloud data warehouses, especially Snowflake • Comfortable with performance optimization, data partitioning and window functions • Ability to operate effectively and autonomously across multiple teams in ambiguous situations with high-level direction • Experience with dbt for the data transformation layer • Experience with BI tooling such as Power BI or Looker • Experience with AWS, Azure or GCP is a plus • Right to work in the UK without visa sponsorship

🏖️ Benefits

• Time off, flexible and remote working, including 25 days annual leave, 2 volunteering days and your birthday off • Up to 30 days of holiday after five years of service • Enhanced parental leave • Mindfulness groups • Critical illness cover • 7% matched pension • Private healthcare plan • Career and learning development through the platform and the ‘Learn Anything’ fund • Recognition & Rewards for doing great work and living the company values and behaviours • Flexible working options, including flexible start and finish times, reduced hours, job share and remote working • Monthly socials and sports clubs • Railcard loan • Cycle scheme to buy a new bike