Engineering Lead (Analytics Platform)

TL;DR

Engineering Lead (Analytics Platform): Spearheading a new analytics platform team to define data strategy and infrastructure with an accent on automation, ELT workflows, and machine learning integration. Focus on architecting scalable data products, leading technical innovation, and enabling cross-functional teams to derive actionable insights from complex energy-sector data.

Location: Based in London (Hybrid)

Company

A global leader in the energy sector providing sustainable energy solutions to over 10 million customers worldwide.

What you will do

• Build and maintain robust tooling for data transformation, visualization, and AI integration.
• Design a scalable data architecture that ensures easy discovery and global reuse of data products.
• Partner with data teams to prioritize business opportunities and deliver solutions with high impact.
• Foster a community of practice through training, documentation, and collaborative standards.
• Lead and mentor a multi-skilled team of 3–5 engineers to support their professional development.

Requirements

• Extensive experience in the full analytics development lifecycle.
• Strong proficiency in Python, SQL, and dbt.
• Solid foundation in software engineering best practices, including testing, CI/CD, and observability.
• Ability to effectively manage stakeholders and prioritize value across technical and non-technical teams.
• Proven experience in building scalable and reusable data architectures.

Nice to have

• Experience leading or managing small technical teams.
• Knowledge of BI platforms such as Lightdash, Looker, Omni, or Metabase.
• Experience in managing software vendor relationships.

Culture & Benefits

• Fast-paced environment with a focus on autonomy and rapid decision-making.
• Opportunity to work on impactful projects contributing directly to Net Zero goals.
• Culture of honesty, empathy, and inclusivity with an equal opportunity approach.
• Ranked among the UK's top companies to work for with strong leadership development.
• Flexible work environment designed to support maximum potential and comfort.

Hiring process

• The standard recruitment process typically spans up to 4 weeks.
• The process involves chats with the recruitment team to discuss experience, fit, and salary expectations.
• Flexibility is prioritized throughout the interview stages to accommodate candidate schedules.