Manager, Data Engineering

Ekimetrics
London
4 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager - ML / AI - Insurance

Data Science Manager - ML / AI - Insurance (London Area)

Director of Data Science (London Area)

Principal Product Manager – Data Science & Machine Learning

Product Owner - VisNET

Software Engineering Manager | £110k – Java, Vue.js & AWS

London – Manager, Data EngineerEkimetrics UKJob DescriptionAbout EkimetricsEkimetrics is a leader in data science and AI-powered solutions. Since 2006, we’ve pioneered the use of AI and data science applied to unified marketing performance, measurement and holistic business optimization aligned with sustainability goals. Our goal: Combine high-impact AI and data science solutions for sustainable business performance.At Ekimetrics, we help companies seize their data opportunities by creating new data and analytics capabilities and deploying data science solutions that power-up their revenue strategy and improve their business operations.Key figures about Ekimetrics•400+ data science experts globally •1000+ diverse projects & 350+ clients•4 offices: Paris, Hong Kong, London and NY•UK data company of the year 2023•Voted Great Place to Work 2023 •Microsoft’s sustainability partner •Voted as a leader in “Marketing Measurement & Optimization” by Forrester wave 2023About the RoleWe have an exciting opportunity for an experienced Lead Data Architect to join our London team! You will support our Domain Leader by leading on large scale digital transformations, building bespoke analytics solutions to answer clients’ key questions and consult on the findings, including high-profile presentations to our clients senior execs. You will be in a technical expert and leader position and working in teams, with other consultants (mainly data scientists and fellow data engineers) on 1 or 2 projects simultaneously.AccountabilitiesOverview:1. Data Engineering·Lead the design, development, and implementation of scalable and efficient data pipelines and workflows.·Take ownership of the entire lifecycle of data engineering projects, including advisory, implementation, and review phases, with interactions ranging from technical teams to senior leadership.·Ensure the organization and quality of data engineering codebases and maintain robust data modelling practices. Collaborate with other senior engineers (Governance, DevOps, etc.) to establish best practices.·Deliver actionable, clear, and practical recommendations to foster strong adoption within client organizations and support Ekimetrics project leadership in achieving business goals.·Act as an internal technical leader and innovator, contributing to the development of advanced and tailored technical solutions for clients while championing engineering excellence.2. People & Development·Be a HR mentor responsible for contributing to the development of more junior team members, including upskilling them on software development.·Share projects and practices within the team and more generally within Ekimetrics, be an ambassador one of our values: Transmission·Work in small teams, leading and coaching of anywhere from 2-10 Data science consultants or Data engineers.3. Business Management & Consulting·Design and scope new projects, using the right analyses to answer client questions·Participate in pre-sales of Ekimetrics projects,·Deliver with excellence – ensure high client satisfaction and make sure that issues are raised and resolved in a timely manner with no surprises·Ensure the client's business case is achievable and Ekimetrics has the appropriate ability to influence promised outcomes·Drive high client value and broaden relationships at the most senior levels with current and prospective clients and translate this into new business opportunities for Ekimetrics.About YouWe are looking for someone who is able to wear 2 hats – the data architect and the strategic business consultant – so you’ll need to show both advanced technical acumen and a strong interest in business strategy.Requirements·A Degree in Computer Science or a quantitative discipline such as Engineering, statistics, or applied mathematics from a leading academic institution is preferred.·5+ years of experience in solution development as a data engineer in a business setting, preferably in a client-facing or consulting-oriented role.·Proficiency in Python, SQL and Spark is required ·Experience with Azure Cloud and Databricks. Experience with other cloud platforms is a plus.·Passion for data with extensive knowledge and experience in building ETL solutions.·Expertise in key technologies related to Data Management.·In-depth knowledge and experience in Data Analytics Architecture.·Understanding of Data Governance processes and platforms.·Experience with Data Ingestion and Transformation in data warehouses or data lakes.·Proficiency in Data Visualization tools and techniques (, Tableau, Power BI, etc.).·Professional certifications in data-related fields , Databricks or similar are a plus.Transversal SkillsPeople are at the centre of who we are at Ekimetrics, so as well as excellent technical skills, it’s important that you also have the following:·Excellent communication skills – especially translating complex technical findings into insights and stories for stakeholders (internal and external)·A demonstrated ability to develop new and long-lasting client relationships at senior levels across multiple industries and sectors;·An ability to work autonomously and be self-motivated;·A team-oriented and collaborative working style, both with clients and within Ekimetrics;·People management experience and demonstrated ability to develop younger talent and build a high performing team, (this doesn’t necessarily mean you have directly managed a team; this could relate to mentorship, project team management, etc.);·Experience with project management and familiarity with Agile methodologies is preferred.·A passion for joining a small team and a desire to help the business grow quickly.Working for EkiWorking for Ekimetrics is a lot of fun! We have clients across multiple industries and are constantly looking to innovate and explore new ways of doing things. Our London team consists of ~60 people and are predominantly Data Science & Engineering Consultants. We come from all over the world, have varied experiences and passions, and all contribute value to Ekimetrics’ success.As well as an opportunity to join a driven, energetic, and highly innovative team, we also offer the following:·Competitive salary + Bonus Scheme ·Hybrid working (2 days a week in the office) ·Work remote anywhere up to 20 days a year·25 days annual leave (+ Bank Holidays and additional days for tenure)·Private healthcare, life insurance, critical illness cover, and professional wellbeing support services·Group pension scheme·An emphasis on work-life-balance and a strong company culture·Unique training programs and learning opportunities.Our recruitment processHR intro interview with a Talent Acquisition Specialist/Recruiter Technical discussion and Interview Technical discission and live coding interview Final business & coding case study interview with a Senior Manager or Associate Partner Any questions please contact At Ekimetrics, we believe our best assets are our people - they are what set us apart and drive our success. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values which serve as pillars in our work and attitude. Follow our Ekimetrics’ values: Curiosity, Creativity, Excellence, Transmission and Pleasure.Ekimetrics is an equal opportunities employer committed to making all employment decisions without regard to race, ethnicity, gender, pregnancy, gender identity or expression, creed, religion, nationality, age, disability, marital status, sexual orientation, military veteran status, current employment status, or any other legally protected categories, subject to applicable law.£70,000 - £90,000 a year

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.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.

AI Training Jobs: Your Comprehensive Guide to Launching a High-Potential Career

Artificial Intelligence (AI) has evolved from a futuristic concept to a core component of modern business strategy. As organisations increasingly embrace AI-driven systems to stay competitive, the demand for qualified professionals who can develop, implement, and train AI models has skyrocketed. In the UK—and indeed worldwide—there is a pressing need for skilled experts who understand the nuances of AI, from algorithm design to ethical considerations. For anyone seeking to enter this exciting field or pivot into a role focusing on AI training, the opportunities are abundant. This in-depth blog post will explore everything you need to know about AI training jobs, the essential skills you’ll need, the current employment landscape in the UK, and how to future-proof your career in AI.

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.