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. We have 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 large scale digital transformations, building bespoke analytics solutions to answer clients’ key questions, develop solutions around Geni AI, and consult on the findings, including high-profile presentations to our clients' senior executives.
Job Responsibilities
Overview:
- 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 customer interactions ranging from technical teams to CIOs.
- Be responsible for the data engineering code organization as well as data modeling 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 leadership.
- Act internally as an innovator and technical lead: 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 of one of our values: Transmission.
- Work in small teams, leading and coaching 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, translating 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 two 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
- 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 Ekimetrics
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 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, certifications and learning opportunities.
- Opportunities for international mobility
- Regular socials and events
Our recruitment process
- HR intro interview with a Talent Acquisition Specialist/Recruiter
- Peer-to-peer interview
- Case study interview
- Final in-person interview with a member from the management team
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.
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.
#J-18808-Ljbffr
