Data Engineering & Data Science Consultant
Consultant & Senior Consultant level
London
About Us
Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?
About Your Role
As a Consultant / Senior Consultant in Data Engineering & Data Science, you work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.
Your role will include:
Apply
data science and machine learning techniques to real-world business problems Work with structured and semi-structured data in
data lakes, lakehouses, and data warehouses Develop and optimise
data transformations for analytical and machine learning workloads Support the
productionisation of data and ML solutions, including monitoring and optimisation
Requirements
What you bring – required
Experience & Background
3–5 years of experience in
data engineering, data science, or analytics Hands-on experience delivering data and analytics solutions in
project-based or client environments Strong problem-solving skills and a pragmatic, delivery-oriented mindset
Data Engineering Foundations
Experience building
end-to-end data pipelines (ingestion, transformation, storage) Solid understanding of
data modelling, data transformations, and feature engineering Familiarity with
cloud-based data platforms, such as: Azure, AWS, or GCP Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric Understanding of
CI/CD concepts and production-grade deployments
Applied Data Science & Analytics
Experience applying
statistical analysis and machine learning techniques Strong programming skills in
Python Very good
SQL skills and experience working with relational databases Experience deploying or supporting
ML models in production environments Ability to translate analytical results into
business-relevant insights Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or
equivalent practical experience
Nice to have
Experience with
streaming technologies (e.g. Kafka, Azure Event Hubs) Exposure to
GenAI, NLP, time series, or advanced analytics use cases Experience with
NoSQL databases (e.g. MongoDB, Cosmos DB) Familiarity with
Docker and Kubernetes Experience with
data visualisation tools (e.g. Power BI, Tableau) Cloud or data-related
certifications Language & Mobility
Very good English skills Willingness to travel for project-related work
Benefits
About your team
Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.
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