Data Engineer

Newton Europe
Lowton
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer 70k

Data Engineer - London

Data Engineer - Databricks - £60,000

Data Scientist

Data Engineer

The details

Newton is a high growth and successful management consultancy, employing the brightest and most curious minds in the industry. We boast an impressive client base of household names and bluechips, delivering impressive tangible benefits in areas including process optimisation and cost reduction. We are small enough that every individual can make a huge impact, both internally and externally.

Newton’s rapidly growing Digital practice delivers digital transformation across our largest and most complex programmes, including data science and analytics, systems change, technology and data architecture. The team is fully embedded into our core consulting teams and enable solutions worth tens of millions of pounds to our clients. The Digital team is one of Newton’s specialist capabilities, along with Change Management; these teams work seamlessly with the core consulting body to enable delivery of exceptional results for our clients. All our work is delivered by a single, coherent team, aligned to the clear goals of the Programme. Together, these specialist capabilities form a critical part of Newton’s proposition.

We are seeking Data Engineers who consider themselves thought leaders, excellent technologists, and self-starters with extensive experience in SQL and NoSQL databases, Data Modelling, and ETL pipeline design. These roles will be focused on large improvement programmes, working alongside Newton’s Operational Consultants, Digital peers and clients. These are leadership roles which include improving, developing and embedding a data-driven decision-making capability within our clients. We passionately believe in the value and potential of this capability and we aim for it to represent more than 10% of our business by 2021.

The Role

Peers describe you as the go-to person for the most challenging data ingestion and modelling problems, and you have a track record of root-causing and solving challenging data problems. Detail-orientation and reliable, well-tested code are features of your work but you are also comfortable working with clients and colleagues who are less technical to achieve amazing outcomes.

Leading the gathering, manipulation and analysis of data on major transformation programmes within the client-facing consulting teams Getting under the skin of client data and processes to understand where value can be added Creating new opportunities to deliver value to clients through data and digital Implementing data-driven actionable insights that drive change across an organisation Building pipelines that are suitable for Data Scientists and analysts working in a Python environment Building effective relationships with stakeholders in the client organisation, influencing and coaching to help them implement a data-driven capability within their organisation Being held up as a role model amongst the wider business with a reputation as an inspirational leader; influencing and improving internal processes and delivering training Changing the way Newton uses data and digital by guiding and mentoring colleagues on how to gather, manipulate and analyse data effectively Managing and developing consultants within your team

The Candidate

Successful candidates will have will have 5 years plus experience and tangible results of projects that include:

Experience of designing, developing, delivering and maintaining large-scale data infrastructures SQL Master - Extensive knowledge and Vast experience with SQL Queries Extensive data modelling experience, especially with low-quality data – knowledge of common methods like third normal form and star schema Strong shell scripting abilities Proficiency in using Cloud services for data engineering, storage, and analytics Expert Python developer with a working knowledge of data science Proficient with software engineering best practices (monitoring, testing, documentation) Work with data analysts and provide the data they need and guide them on the issues Extensive ETL experience and Hadoop experience Experience in Real time data ingestion (e.g. Kafka) Able to troubleshoot the data issues in dashboarding tools (Power BI) and suggest solutions A team player can achieve more on a team that the whole is greater than the sum of its parts and works effectively with less technical colleagues

A word from us

Everybody likes to say they’re different...

Newton was founded to buck the norm in management consultancy - to demand better for its clients. Because, for us, change doesn’t come from behind a laptop. It comes from getting under the skin of an organisation and learning first-hand how it ticks. It’s not about producing reports that gather dust on a boardroom’s top shelf; it’s about delivering results that actually work.We crack some of the biggest challenges that businesses and public sector organisations face.

We’re called upon to bring much-needed change, from redesigning social care to improving build efficiencies on aircraft carriers. The work’s varied and complex - just how we like it. And no one else does it quite like we do. Take our business model. We guarantee our fees against delivering results, and will only leave once our clients see those results stick. Bold - yes. Disruptive? Always.

Blindingly fast career progression means that if you show you’re ready to step up - you’ll be promoted. Because we recognise talent, not tenure. And with all the support, training, and development you need, there’s really no stopping you. No matter the role you join in, you’ll be surrounded by spirited, naturally curious people. People who want to learn from you, and who’ll also teach you a thing or two along the way. It’s how everyone goes further, faster.

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.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.