Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Principal Data Engineer Python AWS

Client Server
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Principal Geospatial Data Engineer

Principle Data Engineer

Principal Market Data Engineer

Principal MLOps Machine Learning Operations Developer for AI Research

Senior Data Engineer

Principal Data Engineer - Azure Databricks (Unity Catalog)

Principal Data Engineer (Python AWS) London / WFH to £120k

Do you have significant experience with Python data engineering and architecture?

You could be progressing your career in an impactful, hands-on Principal Data Engineer role at a hugely successful European eCommerce with a customer base of over 10 million.

As a Principal Data Engineer you will take a lead role in building a platform that enables a decentralised-by-design data adoption model within the business, defining and championing technical principles and practices to make improvements and implement a well engineered, well governed data platform that meets customer needs.

You will provide technical leadership and technical solution design on multiple, complex initiatives, drive continuous improvement on key metrics (business value, cost efficiency, speed and quality of delivery) and contribute to key decision making across the Data and Machine Learning engineering space on technical approaches to balance delivering near-term commercial impact and building long-term foundations.

Location / WFH:

You can work from home most of the time, meeting up with colleagues in the well situated London office twice a week.

About you:

You have advanced data engineering skills and experience including designing, building, and maintaining robust and scalable data platforms that enable key business initiatives You have experience of leading technical design and architecture discussions, influencing technical strategy and decision making You have experience of coaching and mentoring engineers, fostering a culture of excellence within the team You have expert Python coding skills combined with a thorough understanding of software engineering best practices You have an indepth understanding of data engineering principles and best practices, including data modelling, observable ETL/ELT processes, data warehousing and data governance You have experience with AWS and tools such as Snowflake You're collaborative and pragmatic with excellent communication skills

What's in it for you:

As a Principal Data Engineer you will earn a competitive package including:

Salary to £120k Pension Life Assurance Health, dental and eye care Employee Assistance Programme Summer hours Work anywhere for 8 weeks a year Perks such as retail discounts, onsite gym, wellbeing resources and much more

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.