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Head of Data Engineering - Azure & Databricks - Hybrid - Up to £100,000

A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact. This is a hybrid role, requiring two days per week in the office, with flexibility around location.

Key Responsibilities:

• Lead and mentor a team of data engineers, fostering a culture of innovation and excellence.
• Architect and implement scalable data solutions using the Azure tech stack and Databricks.
• Collaborate with cross-functional teams to align data initiatives with business goals.
• Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed.

Requirements:

• Proven experience in leading data engineering teams.
• Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks.
• Comfortable balancing strategic leadership with occasional hands-on technical work.
• Excellent stakeholder management and communication skills.

What's on Offer:

• Competitive salary up to £100,000.
• Hybrid working model - 2 days in-office per week.
• Opportunity to shape the data landscape of a forward-thinking organisation.
• Discretionary Bonus
• And more.

Data Scientist - £55,000-£70,000 - Remote

A fast-growing UK tech company is seeking a Data Scientist to join their dynamic team. This is a unique opportunity to be part of a business that's scaling rapidly and making waves in the e-commerce space.

This company has recently been recognised as one of the UK's fastest-growing tech firms. They want to be the best choice for every customer, everywhere. The team is collaborative, ambitious, and thrives in a fast-paced, ever-evolving environment. You'll be part of a close-knit group driving real change.

As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making.

Key Responsibilities:

• Develop statistical and machine learning models to simulate risk scenarios.
• Analyse large datasets to uncover trends and emerging risks.
• Translate insights into actionable risk mitigation strategies.
• Build dashboards and visualisations for stakeholders.
• Collaborate with data engineers to ensure clean, integrated data.
• Continuously refine models to adapt to evolving risk landscapes.

Requirements:

• Experience as a data scientist.
• Strong Python and SQL skills.
• Experience with machine learning frameworks and statistical analysis.
• Knowledge of LLMs and AI modelling tools.
• Excellent communication and problem-solving skills.
• Comfortable working in a fast-paced, collaborative environment.

Benefits:

• Salary up to £70,000 depending on experience
• Flexible working culture
• Company equity
• Opportunity to make a real impact in a high-growth tech company