Principal Data Engineer

Anson McCade
London
9 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer / Architect

Senior / Principal Recruitment Consultants - Data / Technology Perm & Interim

Principal Software Engineer

Principal Software Engineer

Principal Naval Architect (Weights)

Principal Naval Architect (Weights)

AWS, ETL, Python

Our client, an esteemed innovation and transformation consulting firm located in London, is in search of a highly skilled Principal Consultant. This role is ideal for a seasoned professional with extensive experience in data engineering and a passion for leading transformational projects. The firm prides itself on delivering innovative solutions that drive business success across a wide array of industries.

As a Principal Consultant, you will lead and oversee complex data engineering projects, ensuring the delivery of high-quality solutions that meet and exceed client expectations. You will utilize your expertise in ETL pipelines, AWS, and Python to guide projects from inception to completion. Additionally, you will play a pivotal role in business development, client management, and mentoring junior consultants.

Lead the design and implementation of robust ETL pipelines and data architectures. Oversee the deployment and optimization of AWS-based data solutions. Develop advanced Python scripts for data processing and analysis. Manage client relationships, ensuring clear communication and satisfaction. Provide strategic guidance and technical expertise to project teams. Identify and pursue new business opportunities, contributing to the firm's growth. Mentor and develop junior consultants, fostering a culture of excellence and collaboration. Stay abreast of industry trends and incorporate best practices into project execution. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in data engineering, with a focus on ETL processes. Deep expertise in AWS services such as S3, Redshift, Lambda, and Glue. Advanced programming skills in Python. Proven track record of leading successful data engineering projects. Strong business acumen and experience in client management. Exceptional problem-solving abilities and attention to detail. Prior experience in management consulting is highly desirable. Excellent communication and leadership skills. Competitive salary and performance-based bonus. Opportunities for career advancement and professional development. Dynamic and innovative work environment. Involvement in high-impact projects with leading clients. Flexible working arrangements and a focus on work-life balance.

If you are a strategic thinker with a strong background in data engineering and a passion for driving innovation, we invite you to apply with your CV and a cover letter explaining your relevant experience and why you are an ideal candidate for this role.


AMC/BCO/PDE1

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.