- Company Name
- Ekimetrics
- Job Title
- Lead Solutions Data Architect, Data Engineering
- Job Description
-
London – Lead Solutions Data Architect, Data Engineering
Ekimetrics UK
Job Description
About Ekimetrics
Ekimetrics is a leader in data science and AI, specialising in Marketing Effectiveness, Customer Analytics and business optimisation since 2006. Weve pioneered the use of AI to drive sustainable growth, helping companies across industries like retail, banking, luxury fashion, insurance and many more to maximise their data potential.
Our goal: Combine high-impact AI and data science solutions for sustainable business performance.
Our approach combines cutting-edge technology with a deep understanding of business challenges, ensuring that our solutions not only meet current needs but also pave the way for future innovations. At Ekimetrics, your work will directly contribute to shaping the future of data-driven decision-making in a sustainable, ethical manner.
Key figures about Ekimetrics
500+ data science experts globally
1000+ diverse projects for more than 350+ clients
5 offices: Paris, Hong Kong, London, New York & Shanghai
UK Data company of the year 2023
Microsoft’s sustainability partner
Voted as a leader in “Marketing Measurement and Optimization” by Forrester wave 2023
About The Role
Based in London and reporting to our Head of Data engineering you will lead on large scale digital transformations, building bespoke analytics solutions to answer clients’ key questions, develop solutions to answer clients key questions around Geni Ai and consult on the findings, including high-profile presentations to our clients senior execs.
Overview
Job Responsibilities
Data Architecture
Lead assessments, strategies, and architecture recommendations
Own the full cycle of the industrialization of data projects, from advisory to audit and review activities, with customers interactions ranging from technical teams to CIOs
Be responsible for the data engineering code organization as well as data modelling approaches. The Data Architect will contribute to these topics with the other Lead Data Engineers (Governance, DevOps, etc.)
Present actionable and easy-to-understand recommendations to drive high levels of adoption within client organizations as well as Ekimetrics business (project) leadership
Acting internally as an innovator and technical lead: we are continuously building engineered and enriched technical custom solutions for our clients
People & Development
Be an 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, and 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.
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 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.
Our Tech stack + more…
Cloud: Azure, sometimes GCP & AWS
Data Platform: Databricks, Snowflake, BigQuery
Data Engineering tools: Pyspark, polars, duckdb, malloy, SQL
Infrastructure-as-code: Terraform, Pulumi
Data Management and Orchestration: Airflow, dbt
Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, qdrant, Pinecone
GenAI: OpenAI APIs, HuggingFace, langchain, Talk-to-data
Monitoring:Datadog
About You We 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 a quantitative discipline such as computer science, Engineering, statistics, or applied mathematics from a leading academic institution is preferred.
8+ years of experience in solution development such as: Data Analysis, Data Architecture, Data Warehouses (DWH), or Data Lakes in a business setting, preferably in a client-facing, consulting-oriented role.
Passion for data with extensive knowledge and experience in Machine Learning techniques.
Expertise in key technologies related to Data Management:
Proficiency in Python is required; knowledge of SQL and Spark is a plus.
Experience with Cloud platforms, specifically Azure and Databricks.
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 (e.g., Tableau, Power BI, etc.).
Professional certifications in data-related fields e.g., Azure Data are a plus.
Transversal Skills
People 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 desire to help the business grow quickly.
Working for Eki
Working 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 ~80 people and are predominantly Data Science Consultants. We come from all over the world, have varied experiences and passions, and all contribute value to Ekimetrics’ success.
We encourage continuous self-development and thought leadership throughout Ekimetrics and foster a culture of transmission and pleasure – we love what we do, and we want to share it!
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...
